Comparison
phoenix vs langfuse
phoenix (AI Observability & Evaluation) vs langfuse (Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets.) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · phoenix alternatives · langfuse alternatives
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Tagline
- phoenix
- AI Observability & Evaluation
- langfuse
- Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets.
Stars
- phoenix
- 10k
- langfuse
- 31k
Forks
- phoenix
- 962
- langfuse
- 3.2k
Open issues
- phoenix
- 650
- langfuse
- 700
Language
- phoenix
- Python
- langfuse
- TypeScript
Adopt for
- phoenix
- -
- langfuse
- 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
- phoenix
- -
- langfuse
- -
Runtime
- phoenix
- -
- langfuse
- -
License
- phoenix
- Other
- langfuse
- MIT License
Last pushed
- phoenix
- Jul 8, 2026
- langfuse
- Jul 8, 2026
Categories
- phoenix
- Evaluation & Observability
- langfuse
- Evaluation & Observability
Trust and health
Open issues (now)
- phoenix
- 650
- langfuse
- 700
Security scan
- phoenix
- 2 low (2 low)
- langfuse
- No lockfile
Full report
- phoenix
- Trust report
- langfuse
- Trust report
Typed relationship
phoenix langfuseBoth Arize Phoenix and Langfuse provide AI observability and evaluation capabilities for LLMs.
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.
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.
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 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.
Explore
phoenix trust report →langfuse trust report →Evaluation & Observability category →All comparisonsStack workflowsTrending tools
Related comparisons
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.