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whylogs
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. 📈
★2.8kstars
Jupyter Notebook
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A , built with Jupyter Notebook open-source project in the Data & Infrastructure category, core strengths: ai-pipelines/analytics
Who made it?Maintained by whylabs team, 2.8K⭐ on GitHub, #602 out of 3133 in Data & Infrastructure
Why does it exist?The whylabs team recognized that existing ai-pipelines tools in Data & Infrastructure were hard to use. whylogs was designed to make analytics more accessible.
What can it do?Key use cases: approximate-statistics, calculate-statistics, constraints
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/whylabs/whylogs | 官网 https://whylogs.readthedocs.io/
🔗 github.com/whylabs/whylogs | 官网 https://whylogs.readthedocs.io/
Topics
ai-pipelinesanalyticsapproximate-statisticscalculate-statisticsconstraintsdata-constraintsdata-pipelinedata-qualitydata-sciencedataopsdatasetloggingmachine-learningml-pipelinesmlopsmodel-performancepythonstatistical-properties