Ragas vs Arize Phoenix
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Ragas
Widely adopted open-source framework for evaluating RAG pipelines with...
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Arize Phoenix
Open-source LLM evaluation and observability
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| RECATOOLS Score | 7.5 / 10 | 7.8 / 10 |
| Capability | — | |
| Value for money | — | |
| Ease of use | — | |
| ASEAN readiness | — | |
| API quality | — | |
| Pricing | Freemium | Open Source |
| Free tier | Open-source library (Apache-2.0) is free; you pay only for evaluator model calls. | Free and open source — self-host at no cost |
| Paid from | Paid hosted platform (app.ragas.io) for dashboards and team features. | — |
| Has API | ✓ | ✓ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | 15K+ GitHub stars | — |
| Founded | 2023 | 2023 |
| Maker | Exploding Gradients | — |
| Verdict | What this is for: Measuring the quality of RAG pipelines with faithfulness, relevancy, and context metrics, plus synthetic test-set generation. Who this is for: Developers and ML teams who need to quantify and regressio... |
Arize Phoenix is an open-source observability and evaluation toolkit for LLM and AI applications, offering tracing, prompt and RAG debugging, evals, and OpenTelemetry-based instrumentation that runs locally or self-hoste... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.