Ragas vs
PhoenixRagas vs Phoenix compared for 2026 — features, license, ease of use, performance and which one to choose. Measure whether your RAG is any good vs Trace, evaluate and debug LLM apps.
Updated regularly · curated by OpenSourceAI.tech
| Spec | Ragas | Phoenix |
|---|---|---|
| Category | LLM / RAG framework | LLM / RAG framework |
| Type | RAG evaluation | LLM observability |
| License | Apache-2.0 | Elastic-2.0 |
| Runs locally | Yes | Yes |
| Primary language | Python | Python |
| Ease of use | Intermediate | Intermediate |
| Best for | anyone tuning a RAG pipeline blind | finding why a RAG pipeline fails |
| GitHub stars | — | 10.6k |
| Criterion | Ragas | Phoenix |
|---|---|---|
| Popularity | n/a | 3.0 |
| Maintenance | n/a | 5.0 |
| Ease of use | 3.5 | 3.5 |
| Privacy | 5.0 | 5.0 |
| License freedom | 5.0 | 3.5 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
Ragas scores RAG pipelines on faithfulness, answer relevance and context precision, turning "it feels better" into numbers.
PhoenixPhoenix from Arize traces LLM applications, surfaces failure clusters and runs evaluations, all runnable locally in a notebook or as a server.
Ragas is rAG evaluation, while Phoenix is lLM observability. Their licenses differ (Apache-2.0 vs Elastic-2.0), which matters if you ship a commercial product. In short, Ragas fits anyone tuning a RAG pipeline blind, and Phoenix fits finding why a RAG pipeline fails.
Choose Ragas for anyone tuning a RAG pipeline blind. Choose Phoenix for finding why a RAG pipeline fails.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.
Ragas is free and open source (Apache-2.0), and Phoenix is free and open source (Elastic-2.0). Neither charges for the core software.
Ragas: yes · Phoenix: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Choose Ragas for anyone tuning a RAG pipeline blind. Choose Phoenix for finding why a RAG pipeline fails.
Browse thousands of open-source AI tools, models and projects — all curated in one place, updated daily.
Explore the directory →