Promptfoo vs
PhoenixPromptfoo vs Phoenix compared for 2026 — features, license, ease of use, performance and which one to choose. Unit tests for your prompts vs Trace, evaluate and debug LLM apps.
Updated regularly · curated by OpenSourceAI.tech
| Spec | Promptfoo | Phoenix |
|---|---|---|
| Category | LLM / RAG framework | LLM / RAG framework |
| Type | Prompt testing | LLM observability |
| License | MIT | Elastic-2.0 |
| Runs locally | Yes | Yes |
| Primary language | TypeScript | Python |
| Ease of use | Beginner | Intermediate |
| Best for | teams shipping prompts to production | finding why a RAG pipeline fails |
| GitHub stars | 23.3k | 10.6k |
| Criterion | Promptfoo | Phoenix |
|---|---|---|
| Popularity | 3.5 | 3.0 |
| Maintenance | 5.0 | 5.0 |
| Ease of use | 5.0 | 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.
Promptfoo runs your prompts against test cases across models, catching regressions before they reach production, and includes red-teaming checks.
PhoenixPhoenix from Arize traces LLM applications, surfaces failure clusters and runs evaluations, all runnable locally in a notebook or as a server.
Promptfoo is prompt testing, while Phoenix is lLM observability. Their licenses differ (MIT vs Elastic-2.0), which matters if you ship a commercial product. Promptfoo leans more beginner-friendly, whereas Phoenix is more suited to intermediate users. In short, Promptfoo fits teams shipping prompts to production, and Phoenix fits finding why a RAG pipeline fails.
Choose Promptfoo for teams shipping prompts to production. 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.
Promptfoo is generally the easier of the two to get started with, while Phoenix rewards more setup with more control.
Promptfoo is free and open source (MIT), and Phoenix is free and open source (Elastic-2.0). Neither charges for the core software.
Promptfoo: yes · Phoenix: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Choose Promptfoo for teams shipping prompts to production. 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 →