A hub for various industry-specific schemas to be used with VLMs.

Fully Functional Voice Based Natural Language UI

O!My Models (omymodels) is a library to generate Pydantic, Dataclasses, GinoORM Models, SqlAlchemy ORM, SqlAlchemy Core Table, Models from SQL DDL. And convert one models to another.

This article will teach you how to create a CRUD RESTful API with Python, FastAPI, PyMongo, MongoDB, and Docker-compose to perform the basic Create/Read/Update/Delete operations against a database.

This article will teach you how to create a CRUD RESTful API with Python, FastAPI, SQLAlchemy ORM, Pydantic, Alembic, PostgreSQL, and Docker-compose to perform the basic Create/Read/Update/Delete operations against a database.

Schema.org classes in pydantic

Supadantic is a small Python library that allows you to manage Supabase tables through Pydantic models.

Automatically and lazily generate three versions of your pydantic models: one with Extra.forbid, one with Extra.ignore, and one with all fields optional

Generate Pydantic models other types from Supabase/Postgres schemas automatically. Ideal for FastAPI, Supabase, and rapid prototyping.

Manage configuration with pydantic.

API Client to communicate with the Cheshire Cat AI

Python Library that Implements the BO4E Standard

Easy mapping for Pydantic models

Python package for easy sqlalchemy filtering databases using dataclasses or without them

Pydantic model for the AsyncAPI (v2) specification schema

SCIM resources serialization and validation with Pydantic

convert CSV to pydantic.BaseModel and vice versa

Python library to store, fetch and modify data in a GitHub repository as a database using Pydantic models and the GitHub REST API.

Pydantic classes for OpenAI's API

jsonapi-pydantic provides a suite of Pydantic models matching the JSON:API specification.