The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
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Updated
Jun 3, 2024 - Python
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Lightweight, extensible data validation library for Python
A light-weight, flexible, and expressive statistical data testing library
⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
Automatically find issues in image datasets and practice data-centric computer vision.
The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.
A dead simple Python string validation library.
Typical: Fast, simple, & correct data-validation using Python 3 typing.
Open Source Data Quality Monitoring.
A collaborative framework for annotating medical datasets using crowdsourcing.
Gere e valide dados randômicos com fordev 🎲
Data validation library for PySpark 3.0.0
Another library for defensive data analysis.
Data validator for the zen of python
Client interface for all things Cleanlab Studio
Rule based data validation library for python 3.
The official http://raymon.ai data profiling and logging library.
pydantic --> zod data models
Cross-compiler and Data Reconciler into Databricks Lakehouse
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