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Deepchecks

Verified

Open-source Python package for testing and validating ML models and data. Comprehensive suite of checks for data integrity, model performance, and drift detection.

Website
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Founded
2021
Employees
11-50
Regions
Global

Frameworks Covered

NIST-AI-RMF

Services

ml-testingdata-validationmodel-validationdrift-detection

About Deepchecks

Deepchecks is an open-source Python package for testing and validating machine learning models and data. It provides a comprehensive suite of checks for data integrity, model performance, drift detection, and distribution shifts — throughout the ML lifecycle.

Features

  • Pre-built checks for data integrity and model performance
  • Train-test data distribution comparison
  • Drift detection for tabular, vision, and NLP
  • Custom check creation
  • HTML reports with pass/fail/warning status
  • CI/CD integration
  • Supports tabular, computer vision, and NLP tasks

Installation

pip install deepchecks
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