Compare projects
Select 2–4 projects to compare on the same basis.
Only identical known values are hidden. Unknown information remains visible.
Wwhylogs
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. 📈
Popularity
Repository stars2,83767,972Highest
7-day net stars——
Fork14427,626Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2025-01-102026-11-02
Maintenance notesNot verifiedUnknown
Repository created2020-08-142010-08-17
License & use
LicenseApache-2.0 · PermissiveBSD-3-Clause · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeData analysisData analysis
TypeFrameworks & SDKsFrameworks & SDKs
SubcategoryData science & machine learningData science & machine learning
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Verify software, hosting, model and infrastructure costs against the current official documentation.
Pricing source——
First collected2026-11-032026-11-02
MetricRepository stars, not unique users or individual-skill installsRepository Stars, not unique users
LanguageJupyter NotebookPython
About this projectAn 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. 📈Machine-learning algorithms and modeling tools for Python.
Measured at2026-11-02 19:02 UTC2026-11-02 19:20 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.