whylabs/whylogs

An open-source data logging library for machine learning models and data pipelines. ๐Ÿ“š Provides visibility into data quality & model performance over time. ๐Ÿ›ก๏ธ Supports privacy-preserving data collection, ensuring safety & robustness. ๐Ÿ“ˆ

2.8k
Stars
144
Forks
46.0
Radar Score
Stable
Momentum

Scoring Breakdown

Impact72.8
Velocity23.3
Health35.0

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Jupyter Notebook

Why it ranks

Modest but positive momentum.

AI Infrastructure ยท orchestrationTop 49% globally

๐Ÿ›ก๏ธ Enterprise Readiness & Commercial Safety

Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
46.0
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

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