Home/Compare/phoenix vs langfuse

Comparison

phoenix vs langfuse

Verdict

Pick phoenix if phoenix by Arize AI focuses on providing comprehensive tools for monitoring and evaluating AI models with an emphasis on improving observability over time; pick langfuse if langfuse is an open source AI engineering platform designed to support evaluation and observability functions for large language models.

Markdown twin · phoenix alternatives · langfuse alternatives

GraphCanon updated 2w

phoenix logo

phoenix

Arize-ai/phoenix

11kpushed Aug 1, 2026
vs
langfuse logo

langfuse

langfuse/langfuse

32kpushed Jul 31, 2026

Trust & integrity

Signalphoenixlangfuse
Maintenance
Very active (0d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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 AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets

Stars

phoenix
11k
langfuse
32k

Forks

phoenix
1.0k
langfuse
3.5k

Open issues

phoenix
839
langfuse
709

Language

phoenix
Python
langfuse
TypeScript

Adopt for

phoenix
Phoenix by Arize AI focuses on providing comprehensive tools for monitoring and evaluating AI models with an emphasis on improving observability over time.
langfuse
Langfuse is an open source AI engineering platform designed to support evaluation and observability functions for large language models.

Persona

phoenix
-
langfuse
-

Runtime

phoenix
-
langfuse
-

License

phoenix
Other
langfuse
Other

Last pushed

phoenix
Aug 1, 2026
langfuse
Jul 31, 2026

Categories

phoenix
Evaluation & Observability
langfuse
Evaluation & Observability

Trust and health

Open issues (now)

phoenix
839
langfuse
709

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: Pricing details or information about different pricing tiers is not provided in the repository content..
  • Requirements: Min -1 GB RAM; Requires Docker.
  • 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, aiengineering.
  • When your team requires a tool that offers advanced observability features specifically designed to track the performance of AI models overtime.

When NOT to use phoenix

  • Consider another solution if your primary requirement is focused on generic monitoring tools that do not provide deep-dive observability features for AI models specifically.
  • If you are constrained by the Elastic License 2.0 terms, which might not align with your organization's licensing preferences or compliance requirements.

Choose langfuse if…

  • langfuse is primarily TypeScript; phoenix is Python.
  • Pricing: Langfuse offers an open-source version under MIT license except for some 'ee' folders, indicating a possible enterprise edition. Specific pricing details are not provided within the repository content.
  • Requirements: Requires Docker; Self-hosting options include Docker Compose and Kubernetes for deployment..
  • 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, observability, open-source.
  • Use Langfuse if you need advanced prompt management tools, as it offers comprehensive features specifically tailored for managing prompts efficiently.

When NOT to use langfuse

  • Avoid using Langfuse if you prefer a vendor-managed service as it requires self-hosting. This can be less desirable for teams looking to minimize infrastructure management.
  • If your development environment is not compatible with Kubernetes, Docker Compose configurations, or major cloud providers (AWS, Azure, GCP) that Langfuse supports via specific templates and Helm, it
  • may not be the optimal choice.

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 11k · langfuse 32k (synced Aug 1, 2026).

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; Pricing: Pricing details or information about different pricing tiers is not provided in the repository content.; Requirements: Min -1 GB RAM; Requires Docker; 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, aiengineering; When your team requires a tool that offers advanced observability features specifically designed to track the performance of AI models overtime.
When should I choose langfuse over phoenix?
Choose langfuse over phoenix when langfuse is primarily TypeScript; phoenix is Python; Pricing: Langfuse offers an open-source version under MIT license except for some 'ee' folders, indicating a possible enterprise edition. Specific pricing details are not provided within the repository content; Requirements: Requires Docker; Self-hosting options include Docker Compose and Kubernetes for deployment.; 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, observability, open-source; Use Langfuse if you need advanced prompt management tools, as it offers comprehensive features specifically tailored for managing prompts efficiently.
When should I avoid phoenix?
Consider another solution if your primary requirement is focused on generic monitoring tools that do not provide deep-dive observability features for AI models specifically. If you are constrained by the Elastic License 2.0 terms, which might not align with your organization's licensing preferences or compliance requirements.
When should I avoid langfuse?
Avoid using Langfuse if you prefer a vendor-managed service as it requires self-hosting. This can be less desirable for teams looking to minimize infrastructure management. If your development environment is not compatible with Kubernetes, Docker Compose configurations, or major cloud providers (AWS, Azure, GCP) that Langfuse supports via specific templates and Helm, it may not be the optimal choice.
Is phoenix or langfuse more popular on GitHub?
langfuse has more GitHub stars (32,271 vs 10,847). 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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