evidently vs graphrag
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| evidently | graphrag | |
|---|---|---|
| Tagline | Evidently is an open-source ML and LLM observability framework. | Graph-based Retrieval-Augmented Generation (RAG) system |
| Stars | 7.7k | 34k |
| Forks | 874 | 3.6k |
| Open issues | 285 | 158 |
| Language | Jupyter Notebook | Python |
| License | Apache-2.0 | MIT |
| Last pushed | May 2, 2026 | Jun 22, 2026 |
| Categories | Evaluation & Observability | Data & Retrieval, LLM Frameworks |
evidently
Evidently is a Python library for evaluating, testing, and monitoring machine learning (ML) and large language model (LLM) systems from experiments to production. It supports a wide range of evaluation metrics and can be used both offline and in live environments.
Jupyter Notebook
graphrag
A modular graph-based RAG system designed to extract structured data from unstructured text using Large Language Models.
Python