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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 zero01K2KMay 13Nov 12, 2026uptrain-ai/uptrainArize-ai/phoenix
Stars: The star count at the end of each dayStarsThe star count at the end of each day5K10KApr 26Nov 12, 2026uptrain-ai/uptrainArize-ai/phoenix

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.

Arize-ai/phoenix

AI Observability & Evaluation

Stars 2,36512,266
Net stars, last 30 days +2+454
Largest star day +2 on Aug 26, 2026+29 on Sep 16, 2026
Milestone reached in the record None10,000 on Jun 10, 2026
Forks 2061,290
Language PythonPython
License APACHE-2.0Other license
Created Nov 7, 2022Nov 9, 2022
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)2 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)3 of 3 checks
Commits, last 13 weeks No data1,073
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: llmops, prompt-engineering, llm-eval. 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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