Comparison
phoenix vs openllmetry
phoenix (AI Observability & Evaluation) vs openllmetry (Open-source observability for your LLM application) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · phoenix alternatives · openllmetry alternatives
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Tagline
- phoenix
- AI Observability & Evaluation
- openllmetry
- Open-source observability for your LLM application
Stars
- phoenix
- 10k
- openllmetry
- 7.3k
Forks
- phoenix
- 962
- openllmetry
- 1.0k
Open issues
- phoenix
- 650
- openllmetry
- 591
Language
- phoenix
- Python
- openllmetry
- Python
Adopt for
- phoenix
- -
- openllmetry
- OpenLLMetry is an open-source observability tool based on OpenTelemetry for monitoring and metrics in GenAI and LLM applications.
Persona
- phoenix
- -
- openllmetry
- -
Runtime
- phoenix
- -
- openllmetry
- -
License
- phoenix
- Other
- openllmetry
- Apache-2.0 license grants permission to use, study, modify, and distribute the tool freely.
Last pushed
- phoenix
- Jul 8, 2026
- openllmetry
- Jul 8, 2026
Categories
- phoenix
- Evaluation & Observability
- openllmetry
- Evaluation & Observability
Trust and health
Open issues (now)
- phoenix
- 650
- openllmetry
- 591
Security scan
- phoenix
- 2 low (2 low)
- openllmetry
- 29 low (29 low)
Full report
- phoenix
- Trust report
- openllmetry
- Trust report
Typed relationship
phoenix openllmetry
Choose phoenix if…
- License: phoenix is Other, openllmetry is Apache-2.0.
- Graph edge: phoenix is a typed related of openllmetry - see the relationship row above.
- Tags unique to phoenix: smolagents, agents, ai-monitoring, evals.
- phoenix ships Docker support for self-hosted deployment.
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 openllmetry if…
- License: openllmetry is Apache-2.0, phoenix is Other.
- Requirements: Built on top of OpenTelemetry; compatible with various observability solutions like Datadog and Honeycomb.
- Graph edge: openllmetry is a typed related of phoenix - see the relationship row above.
- Tags unique to openllmetry: llmops, ml, artifical-intelligence, llm.
- - Use it if you are working with Large Language Model (LLM) or Generative AI applications that require detailed observations, including model oversight and performance metrics.
When NOT to use openllmetry
- - Avoid using it for applications where existing comprehensive proprietary observability solutions already meet all requirements without the need for integration flexibility offered by OpenTelemetry.
- - Not recommended if your team has limited experience with OpenTelemetry, which could complicate adoption and integration with other tools unless there is a dedicated effort to adapt.
Explore
phoenix trust report →openllmetry trust report →Evaluation & Observability category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between phoenix and openllmetry?
- phoenix: AI Observability & Evaluation. openllmetry: Open-source observability for your LLM application. See the comparison table for live GitHub stats and shared categories.
- When should I choose phoenix over openllmetry?
- Choose phoenix over openllmetry when License: phoenix is Other, openllmetry is Apache-2.0; Graph edge: phoenix is a typed related of openllmetry - see the relationship row above; Tags unique to phoenix: smolagents, agents, ai-monitoring, evals; phoenix ships Docker support for self-hosted deployment.
- When should I choose openllmetry over phoenix?
- Choose openllmetry over phoenix when License: openllmetry is Apache-2.0, phoenix is Other; Requirements: Built on top of OpenTelemetry; compatible with various observability solutions like Datadog and Honeycomb; Graph edge: openllmetry is a typed related of phoenix - see the relationship row above; Tags unique to openllmetry: llmops, ml, artifical-intelligence, llm; - Use it if you are working with Large Language Model (LLM) or Generative AI applications that require detailed observations, including model oversight and performance metrics.
- 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 openllmetry?
- - Avoid using it for applications where existing comprehensive proprietary observability solutions already meet all requirements without the need for integration flexibility offered by OpenTelemetry. - Not recommended if your team has limited experience with OpenTelemetry, which could complicate adoption and integration with other tools unless there is a dedicated effort to adapt.
- Is phoenix or openllmetry more popular on GitHub?
- phoenix has more GitHub stars (10,453 vs 7,281). Stars measure visibility, not whether either tool fits your constraints.
- Are phoenix and openllmetry open source?
- Yes - both are open-source projects on GitHub (phoenix: Other, openllmetry: Apache-2.0).
- Where can I find alternatives to phoenix or openllmetry?
- GraphCanon lists graph-backed alternatives at /tools/arize-ai-phoenix/alternatives and /tools/traceloop-openllmetry/alternatives (/tools/arize-ai-phoenix/alternatives.md, /tools/traceloop-openllmetry/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-traceloop-openllmetry.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, phoenix or openllmetry?
- phoenix: Very active. openllmetry: 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 openllmetry?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: phoenix: /tools/arize-ai-phoenix/trust; openllmetry: /tools/traceloop-openllmetry/trust.