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
Trust & integrity
| Signal | phoenix | langfuse |
|---|---|---|
| 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
- phoenix
- Trust report
- langfuse
- Trust report
Typed relationship
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 (Arize-ai/phoenix) · observed Sep 20, 2026
- GitHub forks (Arize-ai/phoenix) · observed Sep 20, 2026
- Last push (Arize-ai/phoenix) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (langfuse/langfuse) · observed Sep 20, 2026
- GitHub forks (langfuse/langfuse) · observed Sep 20, 2026
- Last push (langfuse/langfuse) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
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
eefolders 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.