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Stars gained: From May 8, 2026 to Nov 12, 2026, each from zeroStars gainedFrom May 8, 2026 to Nov 12, 2026, each from zero0250500May 8Nov 12, 2026whylabs/whylogsevidentlyai/evidently
Stars: The star count at the end of each dayStarsThe star count at the end of each day2.5K5K7.5KApr 26Nov 12, 2026whylabs/whylogsevidentlyai/evidently

Facts

Fact 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. 📈

evidentlyai/evidently

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Stars 2,8388,060
Net stars, last 30 days +5+77
Largest star day +2 on Jul 13, 2026+13 on Jul 21, 2026
Milestone reached in the record NoneNone
Forks 144973
Language Jupyter NotebookJupyter Notebook
License APACHE-2.0APACHE-2.0
Created Aug 14, 2020Nov 25, 2020
Last push Jan 10, 2025Sep 29, 2026
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)2 of 4 checks (2 without data)
Health facts: Releases 1 of 3 checks (1 without data)2 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 11, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: data-quality, mlops, machine-learning, data-science. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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