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Evidently is an open-source ML and LLM observability framework to evaluate, test, and monitor AI-powered systems.

7.3K

Active

Jupyter Notebook

MLOps

Data Validation

Jupyter Notebook

#data-quality#data-validation#model-monitoring

Deepchecks is an open-source solution for thorough testing of ML models and data from research to production.

4.0K

Stable

Python

ML Ops

Data Validation

Python

#machine-learning#data-validation#model-monitoring

Detects anomalies and drift in data with algorithms for outlier, adversarial, and concept-drift detection.

2.5K

Stable

Jupyter Notebook

#anomaly-detection#drift-detection#outlier-detection

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