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