Whylogs AI

Open-source data and ML logging library for model monitoring and data quality

AI Infrastructure & MLOpsFreemium

Whylogs (now WhyLabs) is an open-source data logging library for machine learning that captures statistical summaries of datasets and model inputs/outputs without storing raw data, enabling privacy-preserving data quality monitoring and drift detection. The lightweight profiles generated by whylogs can be used to monitor feature distributions, identify data quality issues, and detect model degradation over time. Data scientists and ML engineers use whylogs to instrument their data pipelines and model inference for continuous quality assurance without transmitting sensitive raw data.

Key Features

• ✓Statistical logging
• ✓Privacy-preserving
• ✓Drift detection
• ✓Data quality
• ✓Open-source