--- title: "phoenix vs langfuse" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arize-ai-phoenix-vs-langfuse-langfuse" tools: ["arize-ai-phoenix", "langfuse-langfuse"] --- # phoenix vs langfuse Neutral, constraint-first comparison with live GitHub stats. | | [phoenix](/tools/arize-ai-phoenix.md) | [langfuse](/tools/langfuse-langfuse.md) | | --- | --- | --- | | Tagline | AI Observability & Evaluation | Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. | | Stars | 10,453 | 30,693 | | Forks | 962 | 3,221 | | Open issues | 650 | 700 | | Language | Python | TypeScript | | Adopt for | - | Langfuse is an open-source AI engineering platform focused on the evaluation and monitoring of large language models (LLMs), offering a comprehensive set of tools including evaluations, observability features, metrics, a | | Persona | - | - | | Runtime | - | - | | License | Other | MIT License | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [phoenix](/tools/arize-ai-phoenix.md) | [langfuse](/tools/langfuse-langfuse.md) | | --- | --- | --- | | Open issues (now) | 650 | 700 | | Security scan | 2 low (2 low) | No lockfile | | Full report | [trust report](/tools/arize-ai-phoenix/trust.md) | [trust report](/tools/langfuse-langfuse/trust.md) | **Typed relationship:** phoenix _(related)_ langfuse Both Arize Phoenix and Langfuse provide AI observability and evaluation capabilities for LLMs. ## Decision facts: langfuse - **Hosting:** self hosted - **Requirements:** Requires Docker - **Adopt for:** Langfuse is an open-source AI engineering platform focused on the evaluation and monitoring of large language models (LLMs), offering a comprehensive set of tools including evaluations, observability features, metrics, a - **License detail:** MIT License ## Choose when ### Choose phoenix if… - phoenix is primarily Python; langfuse is TypeScript. - Both Arize Phoenix and Langfuse provide AI observability and evaluation capabilities for LLMs. - Tags unique to phoenix: smolagents, agents, ai-monitoring, evals. ### Choose langfuse if… - langfuse is primarily TypeScript; phoenix is Python. - Requirements: Requires Docker. - Both Arize Phoenix and Langfuse provide AI observability and evaluation capabilities for LLMs. - Tags unique to langfuse: evaluation, analytics, llm-observability, open-source. - You need detailed observability insights specific to LLMs like tracking usage through integration with OpenTelemetry. ## When NOT to use phoenix - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## When NOT to use langfuse - You require a proprietary solution that offers specialized features not available in open-source tools like Langfuse. - Your team is strictly bound to use technologies exclusively from major vendors and cannot accommodate external open-source dependencies. - The existing toolset in your tech stack does not benefit from integrations with OpenTelemetry, LangChain or the OpenAI SDK. ## Common questions ### What is the difference between phoenix and langfuse? phoenix: AI Observability & Evaluation. langfuse: Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets.. See the comparison table for live GitHub stats and shared categories. ### When should I choose phoenix over langfuse? Choose phoenix over langfuse when phoenix is primarily Python; langfuse is TypeScript; Both Arize Phoenix and Langfuse provide AI observability and evaluation capabilities for LLMs; Tags unique to phoenix: smolagents, agents, ai-monitoring, evals. ### When should I choose langfuse over phoenix? Choose langfuse over phoenix when langfuse is primarily TypeScript; phoenix is Python; Requirements: Requires Docker; Both Arize Phoenix and Langfuse provide AI observability and evaluation capabilities for LLMs; Tags unique to langfuse: evaluation, analytics, llm-observability, open-source; You need detailed observability insights specific to LLMs like tracking usage through integration with OpenTelemetry. ### When should I avoid phoenix? Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### When should I avoid langfuse? You require a proprietary solution that offers specialized features not available in open-source tools like Langfuse. Your team is strictly bound to use technologies exclusively from major vendors and cannot accommodate external open-source dependencies. The existing toolset in your tech stack does not benefit from integrations with OpenTelemetry, LangChain or the OpenAI SDK. ### Is phoenix or langfuse more popular on GitHub? langfuse has more GitHub stars (30,693 vs 10,453). Stars measure visibility, not whether either tool fits your constraints. ### Are phoenix and langfuse open source? Yes - both are open-source projects on GitHub (phoenix: Other, langfuse: Other). ### Where can I find alternatives to phoenix or langfuse? GraphCanon lists graph-backed alternatives at /tools/arize-ai-phoenix/alternatives and /tools/langfuse-langfuse/alternatives (/tools/arize-ai-phoenix/alternatives.md, /tools/langfuse-langfuse/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/arize-ai-phoenix-vs-langfuse-langfuse.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, phoenix or langfuse? phoenix: Very active. langfuse: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for phoenix and langfuse? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: phoenix: /tools/arize-ai-phoenix/trust; langfuse: /tools/langfuse-langfuse/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=arize-ai-phoenix`](/api/graphcanon/graph?tool=arize-ai-phoenix) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_