Home/Compare/phoenix vs langfuse

Comparison

phoenix vs langfuse

Verdict

Pick phoenix if phoenix is an AI observability and evaluation tool designed for monitoring and evaluating AI models and systems, with a focus on observability and evaluation metrics; pick langfuse if langfuse is an open-source platform for evaluating and monitoring large language model applications, offering self-hosting options for local, VM, and Kubernetes environments.

Markdown twin · phoenix alternatives · langfuse alternatives

GraphCanon updated Sep 20, 2026

17views this month

phoenix logo

phoenix

Arize-ai/phoenix

★ 12kpushed Sep 18, 2026
vs
langfuse logo

langfuse

langfuse/langfuse

★ 35kpushed Sep 18, 2026

Trust & integrity

Signalphoenixlangfuse
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

phoenix
AI Observability & Evaluation
langfuse
Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.

Stars

phoenix
12k
langfuse
35k

Forks

phoenix
1.1k
langfuse
3.8k

Open issues

phoenix
1.0k
langfuse
906

Language

phoenix
Python
langfuse
TypeScript

Adopt for

phoenix
Phoenix is an AI observability and evaluation tool designed for monitoring and evaluating AI models and systems, with a focus on observability and evaluation metrics.
langfuse
Langfuse is an open-source platform for evaluating and monitoring large language model applications, offering self-hosting options for local, VM, and Kubernetes environments.

Persona

phoenix
-
langfuse
-

Runtime

phoenix
-
langfuse
-

License

phoenix
Phoenix is licensed under the Elastic License 2.0 (ELv2), which allows for use, modification, and distribution under certain conditions, but also includes patent protection for some code portions.
langfuse
Other

Last pushed

phoenix
Sep 18, 2026
langfuse
Sep 18, 2026

Categories

phoenix
Evaluation & Observability
langfuse
Evaluation & Observability

Trust and health

Open issues (now)

phoenix
1.0k
langfuse
906

Stars delta

phoenix
+681 (30d)
langfuse
+2.5k (30d)

Open issues delta

phoenix
+164 (30d)
langfuse
+197 (30d)

Full report

langfuse
Trust report

Typed relationship

phoenix alternative langfuseBoth Langfuse and Phoenix focus on observability and evaluation of AI, LLM applications. They offer similar functionality but are distinct projects.

Choose phoenix if…

  • phoenix is primarily Python; langfuse is TypeScript.
  • Pricing: The pricing model for Phoenix is not specified in the provided repository data..
  • Requirements: Phoenix is written in Python and requires a Python environment to run..
  • Both Langfuse and Phoenix focus on observability and evaluation of AI, LLM applications. They offer similar functionality but are distinct projects.
  • Tags unique to phoenix: agents, ai-monitoring, ai-observability, llm-evaluation.
  • Use Phoenix when you need comprehensive observability features for your AI models and systems, as it is specifically designed to provide detailed insights into model performance and behavior.

When NOT to use phoenix

  • Avoid Phoenix if your project requires a tool that is not covered by the Elastic License 2.0, as Phoenix is licensed under this specific license.
  • Do not use Phoenix if your project strictly avoids tools with patent-protected code, as Phoenix includes portions of code that are patent protected.

Choose langfuse if…

  • langfuse is primarily TypeScript; phoenix is Python.
  • Both Langfuse and Phoenix focus on observability and evaluation of AI, LLM applications. They offer similar functionality but are distinct projects.
  • Tags unique to langfuse: analytics, evaluation, llm-observability, monitoring.
  • When you need a self-hosted solution for evaluating and monitoring large language model applications, as Langfuse supports local, VM, and Kubernetes environments.

When NOT to use langfuse

  • If you are looking for a fully managed service without the need for self-hosting, as Langfuse requires setting up and maintaining the infrastructure yourself.
  • When you need enterprise features that are not covered by the open-source version, as the `ee` folders are not open-source and may require additional licensing or services.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: phoenix 12k · langfuse 35k (synced Sep 20, 2026).

Common questions

What is the difference between phoenix and langfuse?
phoenix: AI Observability & Evaluation. langfuse: Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.. 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; Pricing: The pricing model for Phoenix is not specified in the provided repository data.; Requirements: Phoenix is written in Python and requires a Python environment to run.; Both Langfuse and Phoenix focus on observability and evaluation of AI, LLM applications. They offer similar functionality but are distinct projects; Tags unique to phoenix: agents, ai-monitoring, ai-observability, llm-evaluation; Use Phoenix when you need comprehensive observability features for your AI models and systems, as it is specifically designed to provide detailed insights into model performance and behavior.
When should I choose langfuse over phoenix?
Choose langfuse over phoenix when langfuse is primarily TypeScript; phoenix is Python; Both Langfuse and Phoenix focus on observability and evaluation of AI, LLM applications. They offer similar functionality but are distinct projects; Tags unique to langfuse: analytics, evaluation, llm-observability, monitoring; When you need a self-hosted solution for evaluating and monitoring large language model applications, as Langfuse supports local, VM, and Kubernetes environments.
When should I avoid phoenix?
Avoid Phoenix if your project requires a tool that is not covered by the Elastic License 2.0, as Phoenix is licensed under this specific license. Do not use Phoenix if your project strictly avoids tools with patent-protected code, as Phoenix includes portions of code that are patent protected.
When should I avoid langfuse?
If you are looking for a fully managed service without the need for self-hosting, as Langfuse requires setting up and maintaining the infrastructure yourself. When you need enterprise features that are not covered by the open-source version, as the ee folders are not open-source and may require additional licensing or services.
Is phoenix or langfuse more popular on GitHub?
langfuse has more GitHub stars (34,763 vs 11,528). 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 phoenix alternatives and langfuse alternatives (phoenix markdown twin, langfuse markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison 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 trust report; langfuse trust report.

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