readytensor/rt-repo-assessment
This project implements an assessment tool to evaluate the quality of a AI/ML project repositories using LLMs and rule based methods
This tool helps AI/ML practitioners and engineering teams evaluate the quality of AI/ML and data science GitHub repositories. You provide a GitHub repository URL, and it generates a detailed assessment report, highlighting strengths and weaknesses across documentation, architecture, dependencies, licensing, and code quality. It's designed for anyone managing or sharing AI projects who needs to ensure their repositories meet best practices and industry standards.
No commits in the last 6 months.
Use this if you need an automated way to ensure your AI/ML project repositories adhere to best practices before sharing them or as part of an internal quality assurance process.
Not ideal if you're looking for a general-purpose code linter for non-AI/ML projects or a tool that fixes code directly rather than just assessing it.
Stars
10
Forks
14
Language
Python
License
MIT
Category
Last pushed
Sep 23, 2025
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/readytensor/rt-repo-assessment"
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