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Stars gained: From May 13, 2026 to Nov 12, 2026, each from zeroStars gainedFrom May 13, 2026 to Nov 12, 2026, each from zero02KMay 13Nov 12, 2026uptrain-ai/uptrainmlflow/mlflow
Stars: The star count at the end of each dayStarsThe star count at the end of each day20KApr 25Nov 12, 2026uptrain-ai/uptrainmlflow/mlflow

Facts

Fact uptrain-ai/uptrain

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.

mlflow/mlflow

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Stars 2,36528,787
Net stars, last 30 days +2+431
Largest star day +2 on Aug 26, 2026+38 on May 6, 2026
Milestone reached in the record NoneNone
Forks 2066,609
Language PythonPython
License APACHE-2.0APACHE-2.0
Created Nov 7, 2022Jun 5, 2018
Last push Aug 18, 2024Nov 12, 2026
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases 1 of 3 checks (1 without data)3 of 3 checks
Health facts: Security practice 0 of 1 check (1 without data)1 of 1 check
Health facts: Community files 1 of 3 checks (2 without data)2 of 3 checks
Commits, last 13 weeks No data1,474
Weeks with commits, last 52 No data52 of 52
In the Repository Index since Nov 11, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: machine-learning, llmops, prompt-engineering, evaluation. 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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