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Stars gained: From May 10, 2026 to Nov 12, 2026, each from zeroStars gainedFrom May 10, 2026 to Nov 12, 2026, each from zero050May 10Nov 12, 2026whylabs/whylogsGokuMohandas/mlops-course
Stars: The star count at the end of each dayStarsThe star count at the end of each day3K3.3KMay 8Nov 12, 2026whylabs/whylogsGokuMohandas/mlops-course

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. 📈

GokuMohandas/mlops-course

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Stars 2,8383,414
Net stars, last 30 days +5+12
Largest star day +2 on Jul 13, 2026+14 on May 22, 2026
Milestone reached in the record NoneNone
Forks 144608
Language Jupyter NotebookJupyter Notebook
License APACHE-2.0MIT
Created Aug 14, 2020Nov 12, 2020
Last push Jan 10, 2025Aug 16, 2024
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 1 of 3 checks (1 without data)0 of 3 checks (2 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, 2026Nov 11, 2026

Topics that all of them have on the Repository Host: data-quality, python, 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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