https://github.com/whylabs/whylogs

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
https://github.com/whylabs/whylogs

ai-pipelines analytics approximate-statistics calculate-statistics constraints data-constraints data-pipeline data-quality data-science dataops dataset logging machine-learning ml-pipelines mlops model-performance python statistical-properties

Last synced: 5 days ago
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An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

• Host: GitHub
• URL: https://github.com/whylabs/whylogs
• Owner: whylabs
• License: apache-2.0
• Created: 2020-08-14T23:25:32.000Z (over 4 years ago)
• Default Branch: mainline
• Last Pushed: 2025-01-10T20:14:49.000Z (3 months ago)
• Last Synced: 2025-04-10T02:10:42.702Z (5 days ago)
• Topics: ai-pipelines, analytics, approximate-statistics, calculate-statistics, constraints, data-constraints, data-pipeline, data-quality, data-science, dataops, dataset, logging, machine-learning, ml-pipelines, mlops, model-performance, python, statistical-properties
• Language: Jupyter Notebook
• Homepage: https://whylogs.readthedocs.io/
• Size: 181 MB
• Stars: 2,707
• Watchers: 32
• Forks: 125
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: .github/CODE_OF_CONDUCT.md

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README