Arize Phoenix vs Langfuse
Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.
| Metric | Arize Phoenix | Langfuse |
|---|---|---|
| GitHub Stars | 8.5K | 24.1K |
| Contributors | 120 | 141 |
| Last Commit | Mar 28, 2026 | Apr 1, 2026 |
| Open Issues | — | 596 |
| License | open-source | open-source |
| Pricing | freemium | freemium |
| Free Tier | Yes | Yes |
| Category | dev-tools | dev-tools |
| Trending | Yes | No |
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About Arize Phoenix
Arize Phoenix is an open-source observability platform for LLM applications. It provides tracing for multi-step agent workflows, built-in evaluation with LLM-as-judge and code-based evals, dataset management for experiments, and a visual UI for debugging prompt/response pairs. Phoenix integrates with OpenTelemetry, LangChain, LlamaIndex, and OpenAI, and can run locally or in the cloud.
View full listingAbout Langfuse
Langfuse is an open-source LLM engineering platform providing observability, analytics, and prompt management. Features distributed tracing for complex agent chains, evaluation scoring, prompt versioning and A/B testing, dataset management, and cost tracking. Integrates with LangChain, LlamaIndex, OpenAI SDK, and any LLM framework via OpenTelemetry.
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