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Facts
| Fact | 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. | NirDiamant/RAG_Techniques This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial. |
|---|---|---|
| Stars | 8,045 | 30,243 |
| Net stars, last 30 days | +82 | +598 |
| Largest star day | +13 on Jul 21, 2026 | +68 on Oct 29, 2026 |
| Milestone reached in the record | None | None |
| Forks | 965 | 3,698 |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | APACHE-2.0 | Other license |
| Created | Nov 25, 2020 | Jul 13, 2024 |
| Last push | Sep 29, 2026 | Nov 2, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 2 of 4 checks (2 without data) | 4 of 4 checks |
| Health facts: Releases | 2 of 3 checks (1 without data) | 1 of 3 checks |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check |
| Health facts: Community files | 1 of 3 checks (2 without data) | 2 of 3 checks |
| Commits, last 13 weeks | No data | 35 |
| Weeks with commits, last 52 | No data | 29 of 52 |
| In the Repository Index since | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: machine-learning, generative-ai, llm. 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