From 2d9e595845efc1fe100901009c56e6fd58b2a2a9 Mon Sep 17 00:00:00 2001
From: Yannik Tausch <yannik.tausch@quantco.com>
Date: Thu, 18 Sep 2025 16:56:09 +0200
Subject: [PATCH 01/19] feat: Support Dataframes as Fields in Pydantic Models

---
 dataframely/_base_schema.py |  45 +++-
 dataframely/_pydantic.py    | 112 ++++++++
 dataframely/_typing.py      |  33 +++
 dataframely/schema.py       |  25 --
 pixi.lock                   | 493 ++++++++++++++++++++++++++++++++++++
 pixi.toml                   |   2 +
 pyproject.toml              |   5 +-
 tests/test_pydantic.py      | 130 ++++++++++
 8 files changed, 817 insertions(+), 28 deletions(-)
 create mode 100644 dataframely/_pydantic.py
 create mode 100644 tests/test_pydantic.py

diff --git a/dataframely/_base_schema.py b/dataframely/_base_schema.py
index 3cd24cc..d97dcf7 100644
--- a/dataframely/_base_schema.py
+++ b/dataframely/_base_schema.py
@@ -5,10 +5,10 @@
 
 import sys
 import textwrap
-from abc import ABCMeta
+from abc import ABCMeta, abstractmethod
 from copy import copy
 from dataclasses import dataclass, field
-from typing import Any
+from typing import TYPE_CHECKING, Any
 
 import polars as pl
 
@@ -21,6 +21,10 @@
 else:
     from typing_extensions import Self
 
+
+if TYPE_CHECKING:
+    from ._typing import DataFrame
+
 _COLUMN_ATTR = "__dataframely_columns__"
 _RULE_ATTR = "__dataframely_rules__"
 
@@ -198,11 +202,48 @@ def columns(cls) -> dict[str, Column]:
             columns[name]._name = name
         return columns
 
+    @classmethod
+    @abstractmethod
+    def polars_schema(cls) -> pl.Schema:
+        """Obtain the polars schema for this schema.
+
+        Returns:
+            A :mod:`polars` schema that mirrors the schema defined by this class.
+        """
+        pass
+
     @classmethod
     def primary_keys(cls) -> list[str]:
         """The primary key columns in this schema (possibly empty)."""
         return _primary_keys(cls.columns())
 
+    @classmethod
+    @abstractmethod
+    def validate(
+        cls, df: pl.DataFrame | pl.LazyFrame, /, *, cast: bool = False
+    ) -> DataFrame[Self]:
+        """Validate that a data frame satisfies the schema.
+
+        Args:
+            df: The data frame to validate.
+            cast: Whether columns with a wrong data type in the input data frame are
+                cast to the schema's defined data type if possible.
+
+        Returns:
+            The (collected) input data frame, wrapped in a generic version of the
+            input's data frame type to reflect schema adherence. The data frame is
+            guaranteed to maintain its order.
+
+        Raises:
+            ValidationError: If the input data frame does not satisfy the schema
+                definition.
+
+        Note:
+            This method _always_ collects the input data frame in order to raise
+            potential validation errors.
+        """
+        pass
+
     @classmethod
     def _validation_rules(cls, *, with_cast: bool) -> dict[str, Rule]:
         return _build_rules(
diff --git a/dataframely/_pydantic.py b/dataframely/_pydantic.py
new file mode 100644
index 0000000..42f0878
--- /dev/null
+++ b/dataframely/_pydantic.py
@@ -0,0 +1,112 @@
+# Copyright (c) QuantCo 2025-2025
+# SPDX-License-Identifier: BSD-3-Clause
+from __future__ import annotations
+
+from functools import partial
+from typing import TYPE_CHECKING, Literal, TypeVar, get_args, get_origin, overload
+
+import polars as pl
+
+from ._base_schema import BaseSchema
+from .exc import ValidationError
+
+if TYPE_CHECKING:
+    from pydantic import GetCoreSchemaHandler, GetJsonSchemaHandler
+    from pydantic.json_schema import JsonSchemaValue
+    from pydantic_core import core_schema
+
+    from ._typing import DataFrame, LazyFrame
+
+
+_S = TypeVar("_S", bound=BaseSchema)
+
+
+def _validate_df_from_dict(schema_type: type[BaseSchema], data: dict) -> pl.DataFrame:
+    return pl.from_dict(
+        data,
+        schema=schema_type.polars_schema(),
+    )
+
+
+def _validate_df_schema(schema_type: type[_S], df: pl.DataFrame) -> DataFrame[_S]:
+    try:
+        return schema_type.validate(df, cast=False)
+    except ValidationError as e:
+        raise ValueError("DataFrame violates schema") from e
+
+
+def _serialize_df(df: pl.DataFrame) -> dict:
+    return df.to_dict(as_series=False)
+
+
+@overload
+def get_pydantic_core_schema(
+    source_type: type[DataFrame],
+    _handler: GetCoreSchemaHandler,
+    lazy: Literal[False],
+) -> core_schema.CoreSchema: ...
+
+
+@overload
+def get_pydantic_core_schema(
+    source_type: type[LazyFrame],
+    _handler: GetCoreSchemaHandler,
+    lazy: Literal[True],
+) -> core_schema.CoreSchema: ...
+
+
+def get_pydantic_core_schema(
+    source_type: type[DataFrame | LazyFrame],
+    _handler: GetCoreSchemaHandler,
+    lazy: bool,
+) -> core_schema.CoreSchema:
+    from pydantic_core import core_schema
+
+    # https://docs.pydantic.dev/2.11/concepts/types/#handling-custom-generic-classes
+    origin = get_origin(source_type)
+    if origin is None:
+        # used as `x: dy.DataFrame` without schema
+        raise TypeError("DataFrame must be parametrized with a schema")
+
+    schema_type: type[BaseSchema] = get_args(source_type)[0]
+
+    polars_schema = core_schema.union_schema(
+        [
+            core_schema.is_instance_schema(pl.DataFrame),
+            core_schema.is_instance_schema(pl.LazyFrame),
+            core_schema.chain_schema(
+                [
+                    core_schema.dict_schema(),
+                    core_schema.no_info_plain_validator_function(
+                        partial(_validate_df_from_dict, schema_type)
+                    ),
+                ]
+            ),
+        ]
+    )
+
+    to_lazy_schema = []
+    if lazy:
+        to_lazy_schema.append(
+            core_schema.no_info_plain_validator_function(
+                lambda df: df.lazy(),
+            )
+        )
+
+    return core_schema.chain_schema(
+        [
+            polars_schema,
+            core_schema.no_info_plain_validator_function(
+                partial(_validate_df_schema, schema_type)
+            ),
+            *to_lazy_schema,
+        ],
+        serialization=core_schema.plain_serializer_function_ser_schema(_serialize_df),
+    )
+
+
+def get_pydantic_json_schema(
+    _core_schema: core_schema.CoreSchema, handler: GetJsonSchemaHandler
+) -> JsonSchemaValue:
+    # This could be made more sophisticated by actually reflecting the schema.
+    return handler(core_schema.dict_schema())
diff --git a/dataframely/_typing.py b/dataframely/_typing.py
index 2d84558..458e1c5 100644
--- a/dataframely/_typing.py
+++ b/dataframely/_typing.py
@@ -9,6 +9,11 @@
 import polars as pl
 
 from ._base_schema import BaseSchema
+from ._pydantic import get_pydantic_core_schema, get_pydantic_json_schema
+
+if TYPE_CHECKING:
+    import pydantic
+    from pydantic_core import core_schema
 
 S = TypeVar("S", bound=BaseSchema, covariant=True)
 
@@ -70,6 +75,20 @@ def set_sorted(self, *args: Any, **kwargs: Any) -> DataFrame[S]:
     def shrink_to_fit(self, *args: Any, **kwargs: Any) -> DataFrame[S]:
         raise NotImplementedError  # pragma: no cover
 
+    @classmethod
+    def __get_pydantic_core_schema__(
+        cls, source_type: Any, handler: pydantic.GetCoreSchemaHandler
+    ) -> core_schema.CoreSchema:
+        return get_pydantic_core_schema(source_type, handler, lazy=False)
+
+    @classmethod
+    def __get_pydantic_json_schema__(
+        cls,
+        core_schema_: core_schema.CoreSchema,
+        handler: pydantic.GetJsonSchemaHandler,
+    ) -> pydantic.json_schema.JsonSchemaValue:
+        return get_pydantic_json_schema(core_schema_, handler)
+
 
 class LazyFrame(pl.LazyFrame, Generic[S]):
     """Generic wrapper around a :class:`polars.LazyFrame` to attach schema information.
@@ -113,3 +132,17 @@ def pipe(
     @inherit_signature(pl.LazyFrame.set_sorted)
     def set_sorted(self, *args: Any, **kwargs: Any) -> LazyFrame[S]:
         raise NotImplementedError  # pragma: no cover
+
+    @classmethod
+    def __get_pydantic_core_schema__(
+        cls, source_type: Any, handler: pydantic.GetCoreSchemaHandler
+    ) -> core_schema.CoreSchema:
+        return get_pydantic_core_schema(source_type, handler, lazy=True)
+
+    @classmethod
+    def __get_pydantic_json_schema__(
+        cls,
+        core_schema_: core_schema.CoreSchema,
+        handler: pydantic.GetJsonSchemaHandler,
+    ) -> pydantic.json_schema.JsonSchemaValue:
+        return get_pydantic_json_schema(core_schema_, handler)
diff --git a/dataframely/schema.py b/dataframely/schema.py
index 5c7eb09..b724bfb 100644
--- a/dataframely/schema.py
+++ b/dataframely/schema.py
@@ -414,26 +414,6 @@ def _sampling_overrides(cls) -> dict[str, pl.Expr]:
     def validate(
         cls, df: pl.DataFrame | pl.LazyFrame, /, *, cast: bool = False
     ) -> DataFrame[Self]:
-        """Validate that a data frame satisfies the schema.
-
-        Args:
-            df: The data frame to validate.
-            cast: Whether columns with a wrong data type in the input data frame are
-                cast to the schema's defined data type if possible.
-
-        Returns:
-            The (collected) input data frame, wrapped in a generic version of the
-            input's data frame type to reflect schema adherence. The data frame is
-            guaranteed to maintain its order.
-
-        Raises:
-            ValidationError: If the input data frame does not satisfy the schema
-                definition.
-
-        Note:
-            This method _always_ collects the input data frame in order to raise
-            potential validation errors.
-        """
         # We can dispatch to the `filter` method and raise an error if any row cannot
         # be validated
         df_valid, failures = cls.filter(df, cast=cast)
@@ -1118,11 +1098,6 @@ def _validate_if_needed(
 
     @classmethod
     def polars_schema(cls) -> pl.Schema:
-        """Obtain the polars schema for this schema.
-
-        Returns:
-            A :mod:`polars` schema that mirrors the schema defined by this class.
-        """
         return pl.Schema({name: col.dtype for name, col in cls.columns().items()})
 
     @classmethod
diff --git a/pixi.lock b/pixi.lock
index b39bfc4..9c33fc2 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -484,6 +484,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.10.0-pyhe01879c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-25.1.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-25.1.0-py312h4c3975b_0.conda
@@ -681,6 +682,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pyarrow-core-18.1.0-py312h01725c0_0_cpu.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyarrow-hotfix-0.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.11.9-pyh3cfb1c2_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pydantic-core-2.33.2-py312h680f630_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pyodbc-5.2.0-py312h2ec8cdc_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
@@ -737,6 +740,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20250822-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2025.2.0.20250809-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-inspection-0.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/typos-1.35.7-hdab8a38_0.conda
@@ -762,6 +766,7 @@ environments:
       linux-aarch64:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-2_gnu.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.10.0-pyhe01879c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-25.1.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/argon2-cffi-bindings-25.1.0-py313h6194ac5_0.conda
@@ -958,6 +963,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/pyarrow-core-18.1.0-py313h656e22b_0_cpu.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyarrow-hotfix-0.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.11.9-pyh3cfb1c2_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/pydantic-core-2.33.2-py313h023b233_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/pyodbc-5.2.0-py313hb6a6212_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
@@ -1014,6 +1021,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20250822-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2025.2.0.20250809-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-inspection-0.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/typos-1.35.7-h1ebd7d5_0.conda
@@ -1037,6 +1045,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zstd-1.5.7-hbcf94c1_2.conda
       osx-64:
       - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.10.0-pyhe01879c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/appnope-0.1.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-25.1.0-pyhd8ed1ab_0.conda
@@ -1222,6 +1231,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/pyarrow-core-18.1.0-py312h5157fe3_0_cpu.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyarrow-hotfix-0.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.11.9-pyh3cfb1c2_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/pydantic-core-2.33.2-py312haba3716_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-core-11.1-py312h3f2cce9_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-framework-cocoa-11.1-py312h2365019_0.conda
@@ -1278,6 +1289,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20250822-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2025.2.0.20250809-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-inspection-0.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/typos-1.35.7-hb440939_0.conda
@@ -1302,6 +1314,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.7-h8210216_2.conda
       osx-arm64:
       - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.10.0-pyhe01879c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/appnope-0.1.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-25.1.0-pyhd8ed1ab_0.conda
@@ -1488,6 +1501,8 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyarrow-core-18.1.0-py313hf9431ad_0_cpu.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pyarrow-hotfix-0.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.11.9-pyh3cfb1c2_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pydantic-core-2.33.2-py313hf3ab51e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-core-11.1-py313had225c5_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-framework-cocoa-11.1-py313hb6afeec_0.conda
@@ -1544,6 +1559,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20250822-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2025.2.0.20250809-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-inspection-0.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/typos-1.35.7-h0ca00b2_0.conda
@@ -1567,6 +1583,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.7-h6491c7d_2.conda
       win-64:
       - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
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       win-64:
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       - conda: https://conda.anaconda.org/conda-forge/win-64/arro3-core-0.6.1-py313hf61f64f_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/pyarrow-hotfix-0.7-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.11.9-pyh3cfb1c2_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/pydantic-core-2.33.2-py313ha8a9a3c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.4.2-pyhd8ed1ab_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2025.2.0.20250809-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda
@@ -5822,6 +5977,16 @@ packages:
   license_family: BSD
   size: 18684
   timestamp: 1733750512696
+- conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
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+  md5: 2934f256a8acfe48f6ebb4fce6cde29c
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+  - typing-extensions >=4.0.0
+  license: MIT
+  license_family: MIT
+  size: 18074
+  timestamp: 1733247158254
 - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.10.0-pyhe01879c_0.conda
   sha256: d1b50686672ebe7041e44811eda563e45b94a8354db67eca659040392ac74d63
   md5: cc2613bfa71dec0eb2113ee21ac9ccbf
@@ -16579,6 +16744,324 @@ packages:
   license_family: BSD
   size: 110100
   timestamp: 1733195786147
+- conda: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.11.9-pyh3cfb1c2_0.conda
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+  - typing_extensions >=4.12.2
+  license: MIT
+  license_family: MIT
+  size: 307176
+  timestamp: 1757881787287
+- conda: https://conda.anaconda.org/conda-forge/linux-64/pydantic-core-2.33.2-py310hbcd0ec0_0.conda
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+- conda: https://conda.anaconda.org/conda-forge/win-64/pydantic-core-2.33.2-py311hc4022dc_0.conda
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+  license: MIT
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+  - ucrt >=10.0.20348.0
+  - python_abi 3.12.* *_cp312
+  license: MIT
+  license_family: MIT
+  size: 1900306
+  timestamp: 1746625389678
+- conda: https://conda.anaconda.org/conda-forge/win-64/pydantic-core-2.33.2-py313ha8a9a3c_0.conda
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+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  - ucrt >=10.0.20348.0
+  - python_abi 3.13.* *_cp313
+  license: MIT
+  license_family: MIT
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+  timestamp: 1746625395940
 - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
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   md5: 6b6ece66ebcae2d5f326c77ef2c5a066
@@ -20326,6 +20809,16 @@ packages:
   license_family: PSF
   size: 91383
   timestamp: 1756220668932
+- conda: https://conda.anaconda.org/conda-forge/noarch/typing-inspection-0.4.1-pyhd8ed1ab_0.conda
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+  md5: e0c3cd765dc15751ee2f0b03cd015712
+  depends:
+  - python >=3.9
+  - typing_extensions >=4.12.0
+  license: MIT
+  license_family: MIT
+  size: 18809
+  timestamp: 1747870776989
 - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
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   md5: 0caa1af407ecff61170c9437a808404d
diff --git a/pixi.toml b/pixi.toml
index df8d866..43c5fc2 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -49,6 +49,8 @@ pytest-benchmark = "*"
 pytest-cov = "*"
 pytest-md = "*"
 scikit-learn = "*"
+pydantic = ">=2.11.9,<3"
+pydantic-core = ">=2.33.2,<3"
 
 [feature.optionals.dependencies]
 pyarrow = "*"
diff --git a/pyproject.toml b/pyproject.toml
index b99e81f..35d54c1 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -82,7 +82,7 @@ disallow_untyped_defs = true
 exclude = ["docs/"]
 explicit_package_bases = true
 no_implicit_optional = true
-plugins = ["dataframely.mypy"]
+plugins = ["dataframely.mypy", "pydantic.mypy"]
 python_version = '3.10'
 warn_unused_ignores = true
 
@@ -90,6 +90,9 @@ warn_unused_ignores = true
 ignore_missing_imports = true
 module = ["pyarrow.*", "pytest_benchmark.*", "sklearn.*"]
 
+[tool.typos.default.extend-identifiers]
+plain_serializer_function_ser_schema = "plain_serializer_function_ser_schema"
+
 [tool.pytest.ini_options]
 addopts = "--import-mode=importlib --benchmark-skip"
 filterwarnings = [
diff --git a/tests/test_pydantic.py b/tests/test_pydantic.py
new file mode 100644
index 0000000..14d1c00
--- /dev/null
+++ b/tests/test_pydantic.py
@@ -0,0 +1,130 @@
+# Copyright (c) QuantCo 2025-2025
+# SPDX-License-Identifier: BSD-3-Clause
+
+import json
+
+import polars as pl
+import pytest
+from polars.testing import assert_frame_equal
+from pydantic import BaseModel, ValidationError
+
+import dataframely as dy
+
+
+class Schema(dy.Schema):
+    x = dy.UInt8(nullable=False)
+    y = dy.Integer()
+    comment = dy.String()
+
+
+class PydanticModel(BaseModel):
+    df: dy.DataFrame[Schema]
+    other_field: int
+
+
+class LazyPydanticModel(BaseModel):
+    df: dy.LazyFrame[Schema]
+    other_field: int
+
+
+@pytest.fixture
+def df() -> pl.DataFrame:
+    return pl.DataFrame(
+        {
+            "x": [1, 2, 3],
+            "y": [4, 5, 6],
+            "comment": ["a", "b", "c"],
+        },
+        schema=Schema.polars_schema(),
+    )
+
+
+@pytest.fixture
+def lazy_df(df: pl.DataFrame) -> pl.LazyFrame:
+    return df.lazy()
+
+
+@pytest.fixture
+def invalid_df() -> pl.DataFrame:
+    return pl.DataFrame(
+        {
+            "x": [None],
+            "y": [4],
+            "comment": ["a"],
+        },
+        schema=Schema.polars_schema(),
+    )
+
+
+def test_python_validation(df: pl.DataFrame) -> None:
+    model = PydanticModel(df=df, other_field=42)
+    assert isinstance(model.df, pl.DataFrame)
+    assert_frame_equal(model.df, df)
+
+
+def test_python_validation_lazy(lazy_df: pl.LazyFrame) -> None:
+    model = LazyPydanticModel(df=lazy_df, other_field=42)
+    assert isinstance(model.df, pl.LazyFrame)
+    assert_frame_equal(model.df, lazy_df)
+
+
+def test_python_validation_already_validated(df: pl.DataFrame) -> None:
+    validated_df = Schema.validate(df)
+    model = PydanticModel(df=validated_df, other_field=42)
+    assert isinstance(model.df, pl.DataFrame)
+    assert_frame_equal(model.df, validated_df)
+
+
+def test_python_validation_already_validated_lazy(df: pl.LazyFrame) -> None:
+    validated_df = Schema.validate(df)
+    model = LazyPydanticModel(df=validated_df, other_field=42)
+    assert isinstance(model.df, pl.LazyFrame)
+    assert_frame_equal(model.df, validated_df.lazy())
+
+
+def test_python_validation_failure(invalid_df: pl.DataFrame) -> None:
+    with pytest.raises(ValidationError):
+        PydanticModel(df=invalid_df, other_field=42)
+
+
+def test_dict_roundtrip(df: pl.DataFrame) -> None:
+    model = PydanticModel(df=df, other_field=42)
+    model_dict = model.model_dump()
+    assert isinstance(model_dict["df"], dict)
+    reconstructed_model = PydanticModel.model_validate(model_dict)
+    assert isinstance(reconstructed_model.df, pl.DataFrame)
+    assert_frame_equal(reconstructed_model.df, df)
+
+
+def test_dict_violates_schema(df: pl.DataFrame) -> None:
+    model = PydanticModel(df=df, other_field=42)
+    model_dict = model.model_dump()
+    model_dict["df"]["x"][0] = None  # violate non-nullable constraint
+    with pytest.raises(ValidationError):
+        PydanticModel.model_validate(model_dict)
+
+
+def test_json_roundtrip(df: pl.DataFrame) -> None:
+    model = PydanticModel(df=df, other_field=42)
+    model_json = model.model_dump_json()
+    reconstructed_model = PydanticModel.model_validate_json(model_json)
+    assert isinstance(reconstructed_model.df, pl.DataFrame)
+    assert_frame_equal(reconstructed_model.df, df)
+
+
+def test_json_violates_schema(df: pl.DataFrame) -> None:
+    model = PydanticModel(df=df, other_field=42)
+    model_json = model.model_dump_json()
+
+    model_dict = json.loads(model_json)
+    model_dict["df"]["x"][0] = None  # violate non-nullable constraint
+    violated_json = json.dumps(model_dict)
+    with pytest.raises(ValidationError):
+        PydanticModel.model_validate_json(violated_json)
+
+
+def test_fail_schemaless_model(df: pl.DataFrame) -> None:
+    with pytest.raises(TypeError):
+
+        class SloppyPydanticModel(BaseModel):
+            df: dy.DataFrame  # no schema

From c88053678ce6f66aba169d95c64842308c3b88d4 Mon Sep 17 00:00:00 2001
From: Yannik Tausch <yannik.tausch@quantco.com>
Date: Thu, 18 Sep 2025 16:58:45 +0200
Subject: [PATCH 02/19] docs: add pydantic reference

---
 docs/sites/quickstart.rst | 1 +
 1 file changed, 1 insertion(+)

diff --git a/docs/sites/quickstart.rst b/docs/sites/quickstart.rst
index 8361023..30219d1 100644
--- a/docs/sites/quickstart.rst
+++ b/docs/sites/quickstart.rst
@@ -253,6 +253,7 @@ Lastly, ``dataframely`` schemas can be used to integrate with external tools:
 - ``HouseSchema.create_empty()`` creates an empty ``dy.DataFrame[HouseSchema]`` that can be used for testing
 - ``HouseSchema.sql_schema()`` provides a list of `sqlalchemy <https://www.sqlalchemy.org>`_ columns that can be used to create SQL tables using types and constraints in line with the schema
 - ``HouseSchema.pyarrow_schema()`` provides a `pyarrow <https://arrow.apache.org/docs/python/index.html>`_ schema with appropriate column dtypes and nullability information
+- You can use ``dy.DataFrame[HouseSchema]`` (or the ``LazyFrame`` equivalent) as fields in `pydantic <https://pydantic.dev>`_ models, including support for validation and serialization
 
 
 Outlook

From 84c9722f680829bf9dceb0f47c97e7290047e2eb Mon Sep 17 00:00:00 2001
From: Yannik Tausch <yannik.tausch@quantco.com>
Date: Thu, 18 Sep 2025 17:11:36 +0200
Subject: [PATCH 03/19] test: improve coverage

---
 dataframely/_base_schema.py |  2 --
 dataframely/_pydantic.py    |  2 ++
 tests/test_pydantic.py      | 14 ++++++++++++++
 3 files changed, 16 insertions(+), 2 deletions(-)

diff --git a/dataframely/_base_schema.py b/dataframely/_base_schema.py
index d97dcf7..55d881a 100644
--- a/dataframely/_base_schema.py
+++ b/dataframely/_base_schema.py
@@ -210,7 +210,6 @@ def polars_schema(cls) -> pl.Schema:
         Returns:
             A :mod:`polars` schema that mirrors the schema defined by this class.
         """
-        pass
 
     @classmethod
     def primary_keys(cls) -> list[str]:
@@ -242,7 +241,6 @@ def validate(
             This method _always_ collects the input data frame in order to raise
             potential validation errors.
         """
-        pass
 
     @classmethod
     def _validation_rules(cls, *, with_cast: bool) -> dict[str, Rule]:
diff --git a/dataframely/_pydantic.py b/dataframely/_pydantic.py
index 42f0878..cbd3345 100644
--- a/dataframely/_pydantic.py
+++ b/dataframely/_pydantic.py
@@ -108,5 +108,7 @@ def get_pydantic_core_schema(
 def get_pydantic_json_schema(
     _core_schema: core_schema.CoreSchema, handler: GetJsonSchemaHandler
 ) -> JsonSchemaValue:
+    from pydantic_core import core_schema
+
     # This could be made more sophisticated by actually reflecting the schema.
     return handler(core_schema.dict_schema())
diff --git a/tests/test_pydantic.py b/tests/test_pydantic.py
index 14d1c00..a77ac76 100644
--- a/tests/test_pydantic.py
+++ b/tests/test_pydantic.py
@@ -128,3 +128,17 @@ def test_fail_schemaless_model(df: pl.DataFrame) -> None:
 
         class SloppyPydanticModel(BaseModel):
             df: dy.DataFrame  # no schema
+
+
+@pytest.mark.parametrize(
+    "model",
+    [PydanticModel, LazyPydanticModel],
+)
+def test_json_schema(model: type[PydanticModel | LazyPydanticModel]) -> None:
+    schema = model.model_json_schema()
+    df_part = schema["properties"]["df"]
+    assert df_part == {
+        "additionalProperties": True,
+        "title": "Df",
+        "type": "object",
+    }

From 467c84cca77033d76bb68326b5f1774ea136667a Mon Sep 17 00:00:00 2001
From: Yannik Tausch <yannik.tausch@quantco.com>
Date: Fri, 19 Sep 2025 14:02:04 +0200
Subject: [PATCH 04/19] add comment

---
 dataframely/_pydantic.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/dataframely/_pydantic.py b/dataframely/_pydantic.py
index cbd3345..56dde6f 100644
--- a/dataframely/_pydantic.py
+++ b/dataframely/_pydantic.py
@@ -70,6 +70,8 @@ def get_pydantic_core_schema(
 
     schema_type: type[BaseSchema] = get_args(source_type)[0]
 
+    # accept a DataFrame, a LazyFrame, or a dict that is converted to a DataFrame
+    # (-> output: DataFrame or LazyFrame)
     polars_schema = core_schema.union_schema(
         [
             core_schema.is_instance_schema(pl.DataFrame),
@@ -87,6 +89,8 @@ def get_pydantic_core_schema(
 
     to_lazy_schema = []
     if lazy:
+        # If the Pydantic field type is LazyFrame, add a step to convert
+        # the model back to a LazyFrame.
         to_lazy_schema.append(
             core_schema.no_info_plain_validator_function(
                 lambda df: df.lazy(),

From 9dfcf876092e07c6e10119a708912906de9f9656 Mon Sep 17 00:00:00 2001
From: Yannik Tausch <yannik.tausch@quantco.com>
Date: Fri, 19 Sep 2025 14:05:45 +0200
Subject: [PATCH 05/19] remove argument

---
 dataframely/_pydantic.py | 4 +---
 dataframely/_typing.py   | 6 +++---
 2 files changed, 4 insertions(+), 6 deletions(-)

diff --git a/dataframely/_pydantic.py b/dataframely/_pydantic.py
index 56dde6f..ecfa211 100644
--- a/dataframely/_pydantic.py
+++ b/dataframely/_pydantic.py
@@ -109,9 +109,7 @@ def get_pydantic_core_schema(
     )
 
 
-def get_pydantic_json_schema(
-    _core_schema: core_schema.CoreSchema, handler: GetJsonSchemaHandler
-) -> JsonSchemaValue:
+def get_pydantic_json_schema(handler: GetJsonSchemaHandler) -> JsonSchemaValue:
     from pydantic_core import core_schema
 
     # This could be made more sophisticated by actually reflecting the schema.
diff --git a/dataframely/_typing.py b/dataframely/_typing.py
index 458e1c5..3202a24 100644
--- a/dataframely/_typing.py
+++ b/dataframely/_typing.py
@@ -84,10 +84,10 @@ def __get_pydantic_core_schema__(
     @classmethod
     def __get_pydantic_json_schema__(
         cls,
-        core_schema_: core_schema.CoreSchema,
+        _core_schema: core_schema.CoreSchema,
         handler: pydantic.GetJsonSchemaHandler,
     ) -> pydantic.json_schema.JsonSchemaValue:
-        return get_pydantic_json_schema(core_schema_, handler)
+        return get_pydantic_json_schema(handler)
 
 
 class LazyFrame(pl.LazyFrame, Generic[S]):
@@ -145,4 +145,4 @@ def __get_pydantic_json_schema__(
         core_schema_: core_schema.CoreSchema,
         handler: pydantic.GetJsonSchemaHandler,
     ) -> pydantic.json_schema.JsonSchemaValue:
-        return get_pydantic_json_schema(core_schema_, handler)
+        return get_pydantic_json_schema(handler)

From 9d5669a02a65f22b45929c89da32219849d69c12 Mon Sep 17 00:00:00 2001
From: Yannik Tausch <yannik.tausch@quantco.com>
Date: Fri, 19 Sep 2025 14:07:35 +0200
Subject: [PATCH 06/19] move pydantic dependency to optional feature

---
 pixi.lock              | 294 -----------------------------------------
 pixi.toml              |   5 +-
 tests/test_pydantic.py |   2 +
 3 files changed, 4 insertions(+), 297 deletions(-)

diff --git a/pixi.lock b/pixi.lock
index 9c33fc2..ae5cc18 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -3586,7 +3586,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.44-h4bf12b8_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.8.3-hbd8a1cb_0.conda
@@ -3638,8 +3637,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/polars-default-1.32.3-py39hf521cc8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-7.0.0-py310h7c4b9e2_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/py-cpuinfo-9.0.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.11.9-pyh3cfb1c2_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pydantic-core-2.33.2-py310hbcd0ec0_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pyodbc-5.2.0-py310hf71b8c6_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.4.1-pyhd8ed1ab_0.conda
@@ -3667,7 +3664,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhe01879c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2025.2.0.20250809-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-inspection-0.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025b-h78e105d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/unixodbc-2.3.12-h661eb56_0.conda
@@ -3675,7 +3671,6 @@ environments:
       linux-aarch64:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/_openmp_mutex-4.5-2_gnu.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/binutils_impl_linux-aarch64-2.44-h4c662bb_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/bzip2-1.0.8-h68df207_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.8.3-hbd8a1cb_0.conda
@@ -3727,8 +3722,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/polars-default-1.32.3-py39h282a9d9_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/psutil-7.0.0-py310h5b55623_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/py-cpuinfo-9.0.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.11.9-pyh3cfb1c2_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/pydantic-core-2.33.2-py310hdff938d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/pyodbc-5.2.0-py310he30c3ed_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.4.1-pyhd8ed1ab_0.conda
@@ -3756,14 +3749,12 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhe01879c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2025.2.0.20250809-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-inspection-0.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025b-h78e105d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/unixodbc-2.3.12-h7b6a552_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_1.conda
       osx-64:
       - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-hfdf4475_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.8.3-hbd8a1cb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda
@@ -3803,8 +3794,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/polars-default-1.32.3-py39hbd2d40b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/psutil-7.0.0-py310h1b7cace_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/py-cpuinfo-9.0.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.11.9-pyh3cfb1c2_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pydantic-core-2.33.2-py310h4c9a074_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/pyodbc-5.2.0-py310h2e7bc63_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.4.1-pyhd8ed1ab_0.conda
@@ -3831,14 +3820,12 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhe01879c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2025.2.0.20250809-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-inspection-0.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025b-h78e105d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/unixodbc-2.3.12-he8a5cf4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_1.conda
       osx-arm64:
       - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/bzip2-1.0.8-h99b78c6_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.8.3-hbd8a1cb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda
@@ -3879,8 +3866,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-default-1.32.3-py39h31c57e4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/psutil-7.0.0-py310h7bdd564_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/py-cpuinfo-9.0.0-pyhd8ed1ab_1.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/bzip2-1.0.8-h99b78c6_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.8.3-hbd8a1cb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda
@@ -5106,8 +5020,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/polars-default-1.32.3-py39h31c57e4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/psutil-7.0.0-py313hcdf3177_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/py-cpuinfo-9.0.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.11.9-pyh3cfb1c2_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pydantic-core-2.33.2-py313hf3ab51e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyodbc-5.2.0-py313h4e5f155_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.4.1-pyhd8ed1ab_0.conda
@@ -5133,14 +5045,11 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhe01879c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2025.2.0.20250809-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-inspection-0.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025b-h78e105d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/unixodbc-2.3.12-h0e2417a_0.conda
       win-64:
       - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h2466b09_7.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.8.3-h4c7d964_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda
@@ -5179,8 +5088,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/win-64/polars-default-1.32.3-py39he906d20_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/psutil-7.0.0-py313h5ea7bf4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/py-cpuinfo-9.0.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pydantic-2.11.9-pyh3cfb1c2_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pydantic-core-2.33.2-py313ha8a9a3c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/pyodbc-5.2.0-py313h5813708_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.4.1-pyhd8ed1ab_0.conda
@@ -5206,8 +5113,6 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhe01879c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2025.2.0.20250809-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-inspection-0.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025b-h78e105d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda
@@ -16758,36 +16663,6 @@ packages:
   license_family: MIT
   size: 307176
   timestamp: 1757881787287
-- conda: https://conda.anaconda.org/conda-forge/linux-64/pydantic-core-2.33.2-py310hbcd0ec0_0.conda
-  sha256: 8da9aed7f21d775a7c91db6c9f95a0e00cae2d132709d5dc608c2e6828f9344b
-  md5: 6b210a72e9e1b1cb6d30b266b84ca993
-  depends:
-  - python
-  - typing-extensions >=4.6.0,!=4.7.0
-  - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - python_abi 3.10.* *_cp310
-  constrains:
-  - __glibc >=2.17
-  license: MIT
-  license_family: MIT
-  size: 1892885
-  timestamp: 1746625312783
-- conda: https://conda.anaconda.org/conda-forge/linux-64/pydantic-core-2.33.2-py311hdae7d1d_0.conda
-  sha256: b48e5abb6debae4f559b08cdbaf0736c7806adc00c106ced2c98a622b7081d8f
-  md5: 484d0d62d4b069d5372680309fc5f00c
-  depends:
-  - python
-  - typing-extensions >=4.6.0,!=4.7.0
-  - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - python_abi 3.11.* *_cp311
-  constrains:
-  - __glibc >=2.17
-  license: MIT
-  license_family: MIT
-  size: 1898139
-  timestamp: 1746625319478
 - conda: https://conda.anaconda.org/conda-forge/linux-64/pydantic-core-2.33.2-py312h680f630_0.conda
   sha256: 4d14d7634c8f351ff1e63d733f6bb15cba9a0ec77e468b0de9102014a4ddc103
   md5: cfbd96e5a0182dfb4110fc42dda63e57
@@ -16818,51 +16693,6 @@ packages:
   license_family: MIT
   size: 1894157
   timestamp: 1746625309269
-- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/pydantic-core-2.33.2-py310hdff938d_0.conda
-  sha256: 483b3e46d0fb9e236596f126c983aac59f9416ead432cecfa549be5bd3c93a51
-  md5: e0aac200a8e6bd0a86f37d1485245094
-  depends:
-  - python
-  - typing-extensions >=4.6.0,!=4.7.0
-  - libgcc >=13
-  - python 3.10.* *_cpython
-  - python_abi 3.10.* *_cp310
-  constrains:
-  - __glibc >=2.17
-  license: MIT
-  license_family: MIT
-  size: 1786208
-  timestamp: 1746625374495
-- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/pydantic-core-2.33.2-py311h73012f0_0.conda
-  sha256: 941c81e17c05843ecbee18102dce6034acc740a63ce01449f37e652d769ba144
-  md5: 4cc79852bcefbe079420f5d4758921c0
-  depends:
-  - python
-  - typing-extensions >=4.6.0,!=4.7.0
-  - python 3.11.* *_cpython
-  - libgcc >=13
-  - python_abi 3.11.* *_cp311
-  constrains:
-  - __glibc >=2.17
-  license: MIT
-  license_family: MIT
-  size: 1794516
-  timestamp: 1746625357651
-- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/pydantic-core-2.33.2-py312h1c19210_0.conda
-  sha256: c00697f0fc24067c7f55fb2f1543a0f6fd03554b3d6529483a3fa06434206aa6
-  md5: 41d484b72868e384739a34d8c040f55e
-  depends:
-  - python
-  - typing-extensions >=4.6.0,!=4.7.0
-  - python 3.12.* *_cpython
-  - libgcc >=13
-  - python_abi 3.12.* *_cp312
-  constrains:
-  - __glibc >=2.17
-  license: MIT
-  license_family: MIT
-  size: 1776626
-  timestamp: 1746625350258
 - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/pydantic-core-2.33.2-py313h023b233_0.conda
   sha256: 941a680053953b1326ec3c0dc4f9b81c6aa72516ab71d4d33654af8e00c0e81f
   md5: d1921dbc580859026dc5a1e7c75c8455
@@ -16878,34 +16708,6 @@ packages:
   license_family: MIT
   size: 1780281
   timestamp: 1746625344148
-- conda: https://conda.anaconda.org/conda-forge/osx-64/pydantic-core-2.33.2-py310h4c9a074_0.conda
-  sha256: 45000cf25762fc119991afa930d3049d2274356af96054905da924d3cc5231c5
-  md5: 43e4bc735fcf38eafb875db21945a8b4
-  depends:
-  - python
-  - typing-extensions >=4.6.0,!=4.7.0
-  - __osx >=10.13
-  - python_abi 3.10.* *_cp310
-  constrains:
-  - __osx >=10.13
-  license: MIT
-  license_family: MIT
-  size: 1875538
-  timestamp: 1746625308676
-- conda: https://conda.anaconda.org/conda-forge/osx-64/pydantic-core-2.33.2-py311hd1a56c6_0.conda
-  sha256: 8eb7c76e4a55ec7a58aada7d5288a111e05a05817dd91e3c3a752a5b657b91fb
-  md5: 3453cc60caa35dda5903d7fa59553208
-  depends:
-  - python
-  - typing-extensions >=4.6.0,!=4.7.0
-  - __osx >=10.13
-  - python_abi 3.11.* *_cp311
-  constrains:
-  - __osx >=10.13
-  license: MIT
-  license_family: MIT
-  size: 1881653
-  timestamp: 1746625302230
 - conda: https://conda.anaconda.org/conda-forge/osx-64/pydantic-core-2.33.2-py312haba3716_0.conda
   sha256: 2bd1ff91077790b93141f6a718840626c6fe12eddd6de8441da6d211aa74999a
   md5: ef5b500de254557bd376a64ef2d76c9a
@@ -16934,51 +16736,6 @@ packages:
   license_family: MIT
   size: 1867059
   timestamp: 1746625317183
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/pydantic-core-2.33.2-py310hb4f9fe2_0.conda
-  sha256: a9cce82ce99f35c984c5d07df9d7ff34e434dfa94a0e5877fd0aac9d33d5fc94
-  md5: 50290b37b695ee0548c2c11be4eb0c8a
-  depends:
-  - python
-  - typing-extensions >=4.6.0,!=4.7.0
-  - __osx >=11.0
-  - python 3.10.* *_cpython
-  - python_abi 3.10.* *_cp310
-  constrains:
-  - __osx >=11.0
-  license: MIT
-  license_family: MIT
-  size: 1733686
-  timestamp: 1746625311891
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/pydantic-core-2.33.2-py311hf245fc6_0.conda
-  sha256: ecca273484dcd5bb463e8fbbc90760155de09fcb6435c5372f83e521d791f44a
-  md5: 05220abd84df3f4645f4fe2b8413582b
-  depends:
-  - python
-  - typing-extensions >=4.6.0,!=4.7.0
-  - __osx >=11.0
-  - python 3.11.* *_cpython
-  - python_abi 3.11.* *_cp311
-  constrains:
-  - __osx >=11.0
-  license: MIT
-  license_family: MIT
-  size: 1742956
-  timestamp: 1746625315116
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/pydantic-core-2.33.2-py312hd3c0895_0.conda
-  sha256: 4e583aab0854a3a9c88e3e5c55348f568a1fddce43952a74892e490537327522
-  md5: affb6b478c21735be55304d47bfe1c63
-  depends:
-  - python
-  - typing-extensions >=4.6.0,!=4.7.0
-  - python 3.12.* *_cpython
-  - __osx >=11.0
-  - python_abi 3.12.* *_cp312
-  constrains:
-  - __osx >=11.0
-  license: MIT
-  license_family: MIT
-  size: 1715338
-  timestamp: 1746625327204
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pydantic-core-2.33.2-py313hf3ab51e_0.conda
   sha256: a70d31e04b81df4c98821668d87089279284d2dbcc70413f791eaa60b28f42fd
   md5: 0d5685f410c4234af909cde6fac63cb0
@@ -16994,57 +16751,6 @@ packages:
   license_family: MIT
   size: 1720344
   timestamp: 1746625313921
-- conda: https://conda.anaconda.org/conda-forge/win-64/pydantic-core-2.33.2-py310hed05c55_0.conda
-  sha256: 657b2097148533aa9665678b85c94bb3cf4df015605f233f374243d4697ccd03
-  md5: 59065d98ab806083a5432d92073f1c75
-  depends:
-  - python
-  - typing-extensions >=4.6.0,!=4.7.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  - ucrt >=10.0.20348.0
-  - python_abi 3.10.* *_cp310
-  license: MIT
-  license_family: MIT
-  size: 1897885
-  timestamp: 1746625416620
-- conda: https://conda.anaconda.org/conda-forge/win-64/pydantic-core-2.33.2-py311hc4022dc_0.conda
-  sha256: 0748e6b6cdb86dfdc4446bddb6035a75bef7939bc6dc382d17c02de1643f4e0f
-  md5: 5a644594b3066c17b7dd4590b2438424
-  depends:
-  - python
-  - typing-extensions >=4.6.0,!=4.7.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  - ucrt >=10.0.20348.0
-  - python_abi 3.11.* *_cp311
-  license: MIT
-  license_family: MIT
-  size: 1902713
-  timestamp: 1746625452353
-- conda: https://conda.anaconda.org/conda-forge/win-64/pydantic-core-2.33.2-py312h8422cdd_0.conda
-  sha256: f377214abd06f1870011a6068b10c9e23dc62065d4c2de13b2f0a6014636e0ae
-  md5: c61e3f191da309117e0b0478b49f6e91
-  depends:
-  - python
-  - typing-extensions >=4.6.0,!=4.7.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  - ucrt >=10.0.20348.0
-  - python_abi 3.12.* *_cp312
-  license: MIT
-  license_family: MIT
-  size: 1900306
-  timestamp: 1746625389678
 - conda: https://conda.anaconda.org/conda-forge/win-64/pydantic-core-2.33.2-py313ha8a9a3c_0.conda
   sha256: 14dc654f3bb8e5a489da6632cf91b421a32e0d1c521d4f0b64a6910ae51d5c8f
   md5: b3a8def3a1d2e94644e2a9c0b8717f4a
diff --git a/pixi.toml b/pixi.toml
index 43c5fc2..d7028fd 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -49,14 +49,13 @@ pytest-benchmark = "*"
 pytest-cov = "*"
 pytest-md = "*"
 scikit-learn = "*"
-pydantic = ">=2.11.9,<3"
-pydantic-core = ">=2.33.2,<3"
 
 [feature.optionals.dependencies]
 pyarrow = "*"
 sqlalchemy = ">=2"
 deltalake = "*"
-
+pydantic = ">=2.11.9,<3"
+pydantic-core = ">=2.33.2,<3"
 
 [feature.test.tasks]
 test = "pytest"
diff --git a/tests/test_pydantic.py b/tests/test_pydantic.py
index a77ac76..2625ac3 100644
--- a/tests/test_pydantic.py
+++ b/tests/test_pydantic.py
@@ -10,6 +10,8 @@
 
 import dataframely as dy
 
+pytestmark = pytest.mark.with_optionals
+
 
 class Schema(dy.Schema):
     x = dy.UInt8(nullable=False)

From 41ba37f9c78b4e9774f1db34aa79273309985aa5 Mon Sep 17 00:00:00 2001
From: Yannik Tausch <yannik.tausch@quantco.com>
Date: Fri, 19 Sep 2025 14:09:24 +0200
Subject: [PATCH 07/19] add pydantic to pyproject dependencies

---
 pyproject.toml | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/pyproject.toml b/pyproject.toml
index 35d54c1..3a0c3fd 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,6 +31,8 @@ version = "0.0.0"
 deltalake = ["deltalake"]
 sqlalchemy = ["sqlalchemy"]
 pyarrow = ["pyarrow"]
+pydantic = ["pydantic"]
+pydantic-core = ["pydantic-core"]
 
 [project.urls]
 Documentation = "https://dataframely.readthedocs.io/"

From 5a67be09723acaebf1fafe31c45e9d8ca8d4147b Mon Sep 17 00:00:00 2001
From: Yannik Tausch <dev@ytausch.de>
Date: Fri, 19 Sep 2025 14:10:09 +0200
Subject: [PATCH 08/19] formatting

Co-authored-by: Andreas Albert <103571926+AndreasAlbertQC@users.noreply.github.com>
---
 tests/test_pydantic.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/tests/test_pydantic.py b/tests/test_pydantic.py
index 2625ac3..afe44ee 100644
--- a/tests/test_pydantic.py
+++ b/tests/test_pydantic.py
@@ -101,7 +101,8 @@ def test_dict_roundtrip(df: pl.DataFrame) -> None:
 def test_dict_violates_schema(df: pl.DataFrame) -> None:
     model = PydanticModel(df=df, other_field=42)
     model_dict = model.model_dump()
-    model_dict["df"]["x"][0] = None  # violate non-nullable constraint
+    # violate non-nullable constraint
+    model_dict["df"]["x"][0] = None 
     with pytest.raises(ValidationError):
         PydanticModel.model_validate(model_dict)
 

From 7e0f7b2053debe7ba21b33e1e6231da5dfca590d Mon Sep 17 00:00:00 2001
From: Yannik Tausch <yannik.tausch@quantco.com>
Date: Fri, 19 Sep 2025 14:17:50 +0200
Subject: [PATCH 09/19] replace validate term

---
 dataframely/_pydantic.py | 4 ++--
 tests/test_pydantic.py   | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/dataframely/_pydantic.py b/dataframely/_pydantic.py
index ecfa211..dc87cfb 100644
--- a/dataframely/_pydantic.py
+++ b/dataframely/_pydantic.py
@@ -21,7 +21,7 @@
 _S = TypeVar("_S", bound=BaseSchema)
 
 
-def _validate_df_from_dict(schema_type: type[BaseSchema], data: dict) -> pl.DataFrame:
+def _dict_to_df(schema_type: type[BaseSchema], data: dict) -> pl.DataFrame:
     return pl.from_dict(
         data,
         schema=schema_type.polars_schema(),
@@ -80,7 +80,7 @@ def get_pydantic_core_schema(
                 [
                     core_schema.dict_schema(),
                     core_schema.no_info_plain_validator_function(
-                        partial(_validate_df_from_dict, schema_type)
+                        partial(_dict_to_df, schema_type)
                     ),
                 ]
             ),
diff --git a/tests/test_pydantic.py b/tests/test_pydantic.py
index afe44ee..9c2a936 100644
--- a/tests/test_pydantic.py
+++ b/tests/test_pydantic.py
@@ -102,7 +102,7 @@ def test_dict_violates_schema(df: pl.DataFrame) -> None:
     model = PydanticModel(df=df, other_field=42)
     model_dict = model.model_dump()
     # violate non-nullable constraint
-    model_dict["df"]["x"][0] = None 
+    model_dict["df"]["x"][0] = None
     with pytest.raises(ValidationError):
         PydanticModel.model_validate(model_dict)
 

From 9322f921dd0e4185eb8717379a398ac26b516c7c Mon Sep 17 00:00:00 2001
From: Yannik Tausch <yannik.tausch@quantco.com>
Date: Fri, 19 Sep 2025 14:24:19 +0200
Subject: [PATCH 10/19] add test for failing lazy validation

---
 tests/test_pydantic.py | 20 +++++++++++++++-----
 1 file changed, 15 insertions(+), 5 deletions(-)

diff --git a/tests/test_pydantic.py b/tests/test_pydantic.py
index 9c2a936..86ccd7d 100644
--- a/tests/test_pydantic.py
+++ b/tests/test_pydantic.py
@@ -41,11 +41,6 @@ def df() -> pl.DataFrame:
     )
 
 
-@pytest.fixture
-def lazy_df(df: pl.DataFrame) -> pl.LazyFrame:
-    return df.lazy()
-
-
 @pytest.fixture
 def invalid_df() -> pl.DataFrame:
     return pl.DataFrame(
@@ -58,6 +53,16 @@ def invalid_df() -> pl.DataFrame:
     )
 
 
+@pytest.fixture
+def lazy_df(df: pl.DataFrame) -> pl.LazyFrame:
+    return df.lazy()
+
+
+@pytest.fixture
+def invalid_lazy_df(invalid_df: pl.DataFrame) -> pl.LazyFrame:
+    return invalid_df.lazy()
+
+
 def test_python_validation(df: pl.DataFrame) -> None:
     model = PydanticModel(df=df, other_field=42)
     assert isinstance(model.df, pl.DataFrame)
@@ -89,6 +94,11 @@ def test_python_validation_failure(invalid_df: pl.DataFrame) -> None:
         PydanticModel(df=invalid_df, other_field=42)
 
 
+def test_python_validation_failure_lazy(invalid_lazy_df: pl.LazyFrame) -> None:
+    with pytest.raises(ValidationError):
+        LazyPydanticModel(df=invalid_df, other_field=42)
+
+
 def test_dict_roundtrip(df: pl.DataFrame) -> None:
     model = PydanticModel(df=df, other_field=42)
     model_dict = model.model_dump()

From 7c9ad048fbdce4740b98e723d4377ac332941299 Mon Sep 17 00:00:00 2001
From: Yannik Tausch <yannik.tausch@quantco.com>
Date: Fri, 19 Sep 2025 14:25:53 +0200
Subject: [PATCH 11/19] add comment

---
 tests/test_pydantic.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/tests/test_pydantic.py b/tests/test_pydantic.py
index 86ccd7d..41647bb 100644
--- a/tests/test_pydantic.py
+++ b/tests/test_pydantic.py
@@ -76,6 +76,8 @@ def test_python_validation_lazy(lazy_df: pl.LazyFrame) -> None:
 
 
 def test_python_validation_already_validated(df: pl.DataFrame) -> None:
+    # In contrast to `test_python_validation`, this is mainly helpful to verify
+    # that mypy is happy with passing a DataFrame that is already validated.
     validated_df = Schema.validate(df)
     model = PydanticModel(df=validated_df, other_field=42)
     assert isinstance(model.df, pl.DataFrame)

From e0bef0a2f0e896c5774c2849c2e792ea7ed2ea63 Mon Sep 17 00:00:00 2001
From: Yannik Tausch <yannik.tausch@quantco.com>
Date: Fri, 19 Sep 2025 14:42:58 +0200
Subject: [PATCH 12/19] use compat layer for optional dependencies

---
 dataframely/_compat.py   | 15 ++++++++++++++
 dataframely/_pydantic.py | 45 ++++++++++++++++++++--------------------
 dataframely/_typing.py   | 13 +++++-------
 tests/test_pydantic.py   | 16 +++++++-------
 4 files changed, 50 insertions(+), 39 deletions(-)

diff --git a/dataframely/_compat.py b/dataframely/_compat.py
index 54f5930..3006993 100644
--- a/dataframely/_compat.py
+++ b/dataframely/_compat.py
@@ -54,6 +54,19 @@ class Dialect:  # type: ignore # noqa: N801
 except ImportError:  # pragma: no cover
     pa = _DummyModule("pyarrow")
 
+
+# -------------------------------------- PYDANTIC ------------------------------------ #
+
+try:
+    import pydantic
+except ImportError:  # pragma: no cover
+    pydantic = _DummyModule("pydantic")  # type: ignore
+
+try:
+    from pydantic_core import core_schema as pydantic_core_schema  # pragma: no cover
+except ImportError:
+    pydantic_core_schema = _DummyModule("pydantic_core_schema")  # type: ignore
+
 # ------------------------------------------------------------------------------------ #
 
 __all__ = [
@@ -64,4 +77,6 @@ class Dialect:  # type: ignore # noqa: N801
     "pa",
     "MSDialect_pyodbc",
     "PGDialect_psycopg2",
+    "pydantic",
+    "pydantic_core_schema",
 ]
diff --git a/dataframely/_pydantic.py b/dataframely/_pydantic.py
index dc87cfb..e9bb761 100644
--- a/dataframely/_pydantic.py
+++ b/dataframely/_pydantic.py
@@ -8,13 +8,10 @@
 import polars as pl
 
 from ._base_schema import BaseSchema
+from ._compat import pydantic, pydantic_core_schema
 from .exc import ValidationError
 
 if TYPE_CHECKING:
-    from pydantic import GetCoreSchemaHandler, GetJsonSchemaHandler
-    from pydantic.json_schema import JsonSchemaValue
-    from pydantic_core import core_schema
-
     from ._typing import DataFrame, LazyFrame
 
 
@@ -42,26 +39,24 @@ def _serialize_df(df: pl.DataFrame) -> dict:
 @overload
 def get_pydantic_core_schema(
     source_type: type[DataFrame],
-    _handler: GetCoreSchemaHandler,
+    _handler: pydantic.GetCoreSchemaHandler,
     lazy: Literal[False],
-) -> core_schema.CoreSchema: ...
+) -> pydantic_core_schema.CoreSchema: ...
 
 
 @overload
 def get_pydantic_core_schema(
     source_type: type[LazyFrame],
-    _handler: GetCoreSchemaHandler,
+    _handler: pydantic.GetCoreSchemaHandler,
     lazy: Literal[True],
-) -> core_schema.CoreSchema: ...
+) -> pydantic_core_schema.CoreSchema: ...
 
 
 def get_pydantic_core_schema(
     source_type: type[DataFrame | LazyFrame],
-    _handler: GetCoreSchemaHandler,
+    _handler: pydantic.GetCoreSchemaHandler,
     lazy: bool,
-) -> core_schema.CoreSchema:
-    from pydantic_core import core_schema
-
+) -> pydantic_core_schema.CoreSchema:
     # https://docs.pydantic.dev/2.11/concepts/types/#handling-custom-generic-classes
     origin = get_origin(source_type)
     if origin is None:
@@ -72,14 +67,14 @@ def get_pydantic_core_schema(
 
     # accept a DataFrame, a LazyFrame, or a dict that is converted to a DataFrame
     # (-> output: DataFrame or LazyFrame)
-    polars_schema = core_schema.union_schema(
+    polars_schema = pydantic_core_schema.union_schema(
         [
-            core_schema.is_instance_schema(pl.DataFrame),
-            core_schema.is_instance_schema(pl.LazyFrame),
-            core_schema.chain_schema(
+            pydantic_core_schema.is_instance_schema(pl.DataFrame),
+            pydantic_core_schema.is_instance_schema(pl.LazyFrame),
+            pydantic_core_schema.chain_schema(
                 [
-                    core_schema.dict_schema(),
-                    core_schema.no_info_plain_validator_function(
+                    pydantic_core_schema.dict_schema(),
+                    pydantic_core_schema.no_info_plain_validator_function(
                         partial(_dict_to_df, schema_type)
                     ),
                 ]
@@ -92,24 +87,28 @@ def get_pydantic_core_schema(
         # If the Pydantic field type is LazyFrame, add a step to convert
         # the model back to a LazyFrame.
         to_lazy_schema.append(
-            core_schema.no_info_plain_validator_function(
+            pydantic_core_schema.no_info_plain_validator_function(
                 lambda df: df.lazy(),
             )
         )
 
-    return core_schema.chain_schema(
+    return pydantic_core_schema.chain_schema(
         [
             polars_schema,
-            core_schema.no_info_plain_validator_function(
+            pydantic_core_schema.no_info_plain_validator_function(
                 partial(_validate_df_schema, schema_type)
             ),
             *to_lazy_schema,
         ],
-        serialization=core_schema.plain_serializer_function_ser_schema(_serialize_df),
+        serialization=pydantic_core_schema.plain_serializer_function_ser_schema(
+            _serialize_df
+        ),
     )
 
 
-def get_pydantic_json_schema(handler: GetJsonSchemaHandler) -> JsonSchemaValue:
+def get_pydantic_json_schema(
+    handler: pydantic.GetJsonSchemaHandler,
+) -> pydantic.json_schema.JsonSchemaValue:
     from pydantic_core import core_schema
 
     # This could be made more sophisticated by actually reflecting the schema.
diff --git a/dataframely/_typing.py b/dataframely/_typing.py
index 3202a24..1a54c3e 100644
--- a/dataframely/_typing.py
+++ b/dataframely/_typing.py
@@ -9,12 +9,9 @@
 import polars as pl
 
 from ._base_schema import BaseSchema
+from ._compat import pydantic, pydantic_core_schema
 from ._pydantic import get_pydantic_core_schema, get_pydantic_json_schema
 
-if TYPE_CHECKING:
-    import pydantic
-    from pydantic_core import core_schema
-
 S = TypeVar("S", bound=BaseSchema, covariant=True)
 
 P = ParamSpec("P")
@@ -78,13 +75,13 @@ def shrink_to_fit(self, *args: Any, **kwargs: Any) -> DataFrame[S]:
     @classmethod
     def __get_pydantic_core_schema__(
         cls, source_type: Any, handler: pydantic.GetCoreSchemaHandler
-    ) -> core_schema.CoreSchema:
+    ) -> pydantic_core_schema.CoreSchema:
         return get_pydantic_core_schema(source_type, handler, lazy=False)
 
     @classmethod
     def __get_pydantic_json_schema__(
         cls,
-        _core_schema: core_schema.CoreSchema,
+        _core_schema: pydantic_core_schema.CoreSchema,
         handler: pydantic.GetJsonSchemaHandler,
     ) -> pydantic.json_schema.JsonSchemaValue:
         return get_pydantic_json_schema(handler)
@@ -136,13 +133,13 @@ def set_sorted(self, *args: Any, **kwargs: Any) -> LazyFrame[S]:
     @classmethod
     def __get_pydantic_core_schema__(
         cls, source_type: Any, handler: pydantic.GetCoreSchemaHandler
-    ) -> core_schema.CoreSchema:
+    ) -> pydantic_core_schema.CoreSchema:
         return get_pydantic_core_schema(source_type, handler, lazy=True)
 
     @classmethod
     def __get_pydantic_json_schema__(
         cls,
-        core_schema_: core_schema.CoreSchema,
+        _core_schema: pydantic_core_schema.CoreSchema,
         handler: pydantic.GetJsonSchemaHandler,
     ) -> pydantic.json_schema.JsonSchemaValue:
         return get_pydantic_json_schema(handler)
diff --git a/tests/test_pydantic.py b/tests/test_pydantic.py
index 41647bb..f9b8bb4 100644
--- a/tests/test_pydantic.py
+++ b/tests/test_pydantic.py
@@ -6,9 +6,9 @@
 import polars as pl
 import pytest
 from polars.testing import assert_frame_equal
-from pydantic import BaseModel, ValidationError
 
 import dataframely as dy
+from dataframely._compat import pydantic
 
 pytestmark = pytest.mark.with_optionals
 
@@ -19,12 +19,12 @@ class Schema(dy.Schema):
     comment = dy.String()
 
 
-class PydanticModel(BaseModel):
+class PydanticModel(pydantic.BaseModel):
     df: dy.DataFrame[Schema]
     other_field: int
 
 
-class LazyPydanticModel(BaseModel):
+class LazyPydanticModel(pydantic.BaseModel):
     df: dy.LazyFrame[Schema]
     other_field: int
 
@@ -92,12 +92,12 @@ def test_python_validation_already_validated_lazy(df: pl.LazyFrame) -> None:
 
 
 def test_python_validation_failure(invalid_df: pl.DataFrame) -> None:
-    with pytest.raises(ValidationError):
+    with pytest.raises(pydantic.ValidationError):
         PydanticModel(df=invalid_df, other_field=42)
 
 
 def test_python_validation_failure_lazy(invalid_lazy_df: pl.LazyFrame) -> None:
-    with pytest.raises(ValidationError):
+    with pytest.raises(pydantic.ValidationError):
         LazyPydanticModel(df=invalid_df, other_field=42)
 
 
@@ -115,7 +115,7 @@ def test_dict_violates_schema(df: pl.DataFrame) -> None:
     model_dict = model.model_dump()
     # violate non-nullable constraint
     model_dict["df"]["x"][0] = None
-    with pytest.raises(ValidationError):
+    with pytest.raises(pydantic.ValidationError):
         PydanticModel.model_validate(model_dict)
 
 
@@ -134,14 +134,14 @@ def test_json_violates_schema(df: pl.DataFrame) -> None:
     model_dict = json.loads(model_json)
     model_dict["df"]["x"][0] = None  # violate non-nullable constraint
     violated_json = json.dumps(model_dict)
-    with pytest.raises(ValidationError):
+    with pytest.raises(pydantic.ValidationError):
         PydanticModel.model_validate_json(violated_json)
 
 
 def test_fail_schemaless_model(df: pl.DataFrame) -> None:
     with pytest.raises(TypeError):
 
-        class SloppyPydanticModel(BaseModel):
+        class SloppyPydanticModel(pydantic.BaseModel):
             df: dy.DataFrame  # no schema
 
 

From 0289920b26ea43acf3c13379863c9da04ada23c2 Mon Sep 17 00:00:00 2001
From: Yannik Tausch <yannik.tausch@quantco.com>
Date: Fri, 19 Sep 2025 14:54:03 +0200
Subject: [PATCH 13/19] make tests importable

---
 tests/test_pydantic.py | 11 ++++++++---
 1 file changed, 8 insertions(+), 3 deletions(-)

diff --git a/tests/test_pydantic.py b/tests/test_pydantic.py
index f9b8bb4..b489be0 100644
--- a/tests/test_pydantic.py
+++ b/tests/test_pydantic.py
@@ -8,7 +8,12 @@
 from polars.testing import assert_frame_equal
 
 import dataframely as dy
-from dataframely._compat import pydantic
+from dataframely._compat import _DummyModule, pydantic
+
+try:
+    BaseModel = pydantic.BaseModel
+except ValueError:
+    BaseModel = _DummyModule("pydantic")  # type: ignore
 
 pytestmark = pytest.mark.with_optionals
 
@@ -19,12 +24,12 @@ class Schema(dy.Schema):
     comment = dy.String()
 
 
-class PydanticModel(pydantic.BaseModel):
+class PydanticModel(BaseModel):
     df: dy.DataFrame[Schema]
     other_field: int
 
 
-class LazyPydanticModel(pydantic.BaseModel):
+class LazyPydanticModel(BaseModel):
     df: dy.LazyFrame[Schema]
     other_field: int
 

From 6bf5abb3c2cd83c750da279f94b6e84bf196fb88 Mon Sep 17 00:00:00 2001
From: Yannik Tausch <yannik.tausch@quantco.com>
Date: Fri, 19 Sep 2025 15:12:34 +0200
Subject: [PATCH 14/19] fix

---
 tests/test_pydantic.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tests/test_pydantic.py b/tests/test_pydantic.py
index b489be0..fd1edf7 100644
--- a/tests/test_pydantic.py
+++ b/tests/test_pydantic.py
@@ -8,12 +8,12 @@
 from polars.testing import assert_frame_equal
 
 import dataframely as dy
-from dataframely._compat import _DummyModule, pydantic
+from dataframely._compat import pydantic
 
 try:
     BaseModel = pydantic.BaseModel
 except ValueError:
-    BaseModel = _DummyModule("pydantic")  # type: ignore
+    BaseModel = object  # type: ignore
 
 pytestmark = pytest.mark.with_optionals
 

From db9b0db0e92b18a6935f0a8a25b52c5819875857 Mon Sep 17 00:00:00 2001
From: Yannik Tausch <yannik.tausch@quantco.com>
Date: Fri, 19 Sep 2025 15:43:32 +0200
Subject: [PATCH 15/19] rename tests

---
 tests/test_pydantic.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/tests/test_pydantic.py b/tests/test_pydantic.py
index fd1edf7..1c19eb7 100644
--- a/tests/test_pydantic.py
+++ b/tests/test_pydantic.py
@@ -68,19 +68,19 @@ def invalid_lazy_df(invalid_df: pl.DataFrame) -> pl.LazyFrame:
     return invalid_df.lazy()
 
 
-def test_python_validation(df: pl.DataFrame) -> None:
+def test_validation(df: pl.DataFrame) -> None:
     model = PydanticModel(df=df, other_field=42)
     assert isinstance(model.df, pl.DataFrame)
     assert_frame_equal(model.df, df)
 
 
-def test_python_validation_lazy(lazy_df: pl.LazyFrame) -> None:
+def test_validation_lazy(lazy_df: pl.LazyFrame) -> None:
     model = LazyPydanticModel(df=lazy_df, other_field=42)
     assert isinstance(model.df, pl.LazyFrame)
     assert_frame_equal(model.df, lazy_df)
 
 
-def test_python_validation_already_validated(df: pl.DataFrame) -> None:
+def test_validation_already_validated(df: pl.DataFrame) -> None:
     # In contrast to `test_python_validation`, this is mainly helpful to verify
     # that mypy is happy with passing a DataFrame that is already validated.
     validated_df = Schema.validate(df)
@@ -89,19 +89,19 @@ def test_python_validation_already_validated(df: pl.DataFrame) -> None:
     assert_frame_equal(model.df, validated_df)
 
 
-def test_python_validation_already_validated_lazy(df: pl.LazyFrame) -> None:
+def test_validation_already_validated_lazy(df: pl.LazyFrame) -> None:
     validated_df = Schema.validate(df)
     model = LazyPydanticModel(df=validated_df, other_field=42)
     assert isinstance(model.df, pl.LazyFrame)
     assert_frame_equal(model.df, validated_df.lazy())
 
 
-def test_python_validation_failure(invalid_df: pl.DataFrame) -> None:
+def test_validation_failure(invalid_df: pl.DataFrame) -> None:
     with pytest.raises(pydantic.ValidationError):
         PydanticModel(df=invalid_df, other_field=42)
 
 
-def test_python_validation_failure_lazy(invalid_lazy_df: pl.LazyFrame) -> None:
+def test_validation_failure_lazy(invalid_lazy_df: pl.LazyFrame) -> None:
     with pytest.raises(pydantic.ValidationError):
         LazyPydanticModel(df=invalid_df, other_field=42)
 

From fe0240d68cd4ee41d44b16b1c97ce74e2c94b94d Mon Sep 17 00:00:00 2001
From: Yannik Tausch <yannik.tausch@quantco.com>
Date: Fri, 19 Sep 2025 15:49:36 +0200
Subject: [PATCH 16/19] add pydantic version constraints

---
 pyproject.toml | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 3a0c3fd..79b459d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,8 +31,7 @@ version = "0.0.0"
 deltalake = ["deltalake"]
 sqlalchemy = ["sqlalchemy"]
 pyarrow = ["pyarrow"]
-pydantic = ["pydantic"]
-pydantic-core = ["pydantic-core"]
+pydantic-core = ["pydantic-core>=2"]
 
 [project.urls]
 Documentation = "https://dataframely.readthedocs.io/"

From 26244b8668bdb54e584afda67fe732d4c80f9037 Mon Sep 17 00:00:00 2001
From: Yannik Tausch <dev@ytausch.de>
Date: Fri, 19 Sep 2025 16:50:11 +0200
Subject: [PATCH 17/19] pyproject.toml aktualisieren

Co-authored-by: Andreas Albert <103571926+AndreasAlbertQC@users.noreply.github.com>
---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 79b459d..7485d2a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,7 +31,7 @@ version = "0.0.0"
 deltalake = ["deltalake"]
 sqlalchemy = ["sqlalchemy"]
 pyarrow = ["pyarrow"]
-pydantic-core = ["pydantic-core>=2"]
+pydantic= ["pydantic>=2"]
 
 [project.urls]
 Documentation = "https://dataframely.readthedocs.io/"

From e1c5ca052ca5443856cdf99591c27a968cabda38 Mon Sep 17 00:00:00 2001
From: Andreas Albert <103571926+AndreasAlbertQC@users.noreply.github.com>
Date: Fri, 19 Sep 2025 17:02:07 +0200
Subject: [PATCH 18/19] Fix formatting of pydantic dependency in pyproject.toml

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 7485d2a..3419753 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,7 +31,7 @@ version = "0.0.0"
 deltalake = ["deltalake"]
 sqlalchemy = ["sqlalchemy"]
 pyarrow = ["pyarrow"]
-pydantic= ["pydantic>=2"]
+pydantic = ["pydantic>=2"]
 
 [project.urls]
 Documentation = "https://dataframely.readthedocs.io/"

From 0a6007cfde82ae4e412ff2003e3f98b50e0f3842 Mon Sep 17 00:00:00 2001
From: Yannik Tausch <dev@ytausch.de>
Date: Tue, 23 Sep 2025 18:09:08 +0200
Subject: [PATCH 19/19] inetgration is unstable

Co-authored-by: Andreas Albert <103571926+AndreasAlbertQC@users.noreply.github.com>
---
 docs/sites/quickstart.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/sites/quickstart.rst b/docs/sites/quickstart.rst
index 30219d1..b191d34 100644
--- a/docs/sites/quickstart.rst
+++ b/docs/sites/quickstart.rst
@@ -253,7 +253,7 @@ Lastly, ``dataframely`` schemas can be used to integrate with external tools:
 - ``HouseSchema.create_empty()`` creates an empty ``dy.DataFrame[HouseSchema]`` that can be used for testing
 - ``HouseSchema.sql_schema()`` provides a list of `sqlalchemy <https://www.sqlalchemy.org>`_ columns that can be used to create SQL tables using types and constraints in line with the schema
 - ``HouseSchema.pyarrow_schema()`` provides a `pyarrow <https://arrow.apache.org/docs/python/index.html>`_ schema with appropriate column dtypes and nullability information
-- You can use ``dy.DataFrame[HouseSchema]`` (or the ``LazyFrame`` equivalent) as fields in `pydantic <https://pydantic.dev>`_ models, including support for validation and serialization
+- You can use ``dy.DataFrame[HouseSchema]`` (or the ``LazyFrame`` equivalent) as fields in `pydantic <https://pydantic.dev>`_ models, including support for validation and serialization. Integration with pydantic is unstable.
 
 
 Outlook