--- title: "phoenix vs langtrace" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arize-ai-phoenix-vs-scale3-labs-langtrace" tools: ["arize-ai-phoenix", "scale3-labs-langtrace"] --- # phoenix vs langtrace Neutral, constraint-first comparison with live GitHub stats. | | [phoenix](/tools/arize-ai-phoenix.md) | [langtrace](/tools/scale3-labs-langtrace.md) | | --- | --- | --- | | Tagline | AI Observability & Evaluation | Open Source Observability for LLM Applications | | Stars | 10,453 | 1,213 | | Forks | 962 | 124 | | Open issues | 650 | 1 | | Language | Python | TypeScript | | Adopt for | - | Langtrace is an open-source observability software that provides real-time monitoring and performance insights for applications leveraging LLM APIs, vector databases, and LLM-based frameworks through Open Telemetry. It's | | Persona | - | - | | Runtime | - | - | | License | Other | AGPL-3.0 implies that any changes made to the software must be released under the same license, which might limit its use in commercial products closed off to users. | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [phoenix](/tools/arize-ai-phoenix.md) | [langtrace](/tools/scale3-labs-langtrace.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 232d | | Open issues (now) | 650 | 1 | | Full report | [trust report](/tools/arize-ai-phoenix/trust.md) | [trust report](/tools/scale3-labs-langtrace/trust.md) | **Typed relationship:** phoenix _(related)_ langtrace ## Decision facts: langtrace - **Requirements:** Self-hosting is available as an option if desired. - **Adopt for:** Langtrace is an open-source observability software that provides real-time monitoring and performance insights for applications leveraging LLM APIs, vector databases, and LLM-based frameworks through Open Telemetry. It's - **License detail:** AGPL-3.0 implies that any changes made to the software must be released under the same license, which might limit its use in commercial products closed off to users. ## Choose when ### Choose phoenix if… - phoenix is primarily Python; langtrace is TypeScript. - License: phoenix is Other, langtrace is AGPL-3.0. - Graph edge: phoenix is a typed related of langtrace - see the relationship row above. - Tags unique to phoenix: smolagents, agents, ai-monitoring, evals. ### Choose langtrace if… - langtrace is primarily TypeScript; phoenix is Python. - License: langtrace is AGPL-3.0, phoenix is Other. - Requirements: Self-hosting is available as an option if desired.. - Graph edge: langtrace is a typed related of phoenix - see the relationship row above. - Tags unique to langtrace: evaluations, llm, ai, observability. - - When you are developing or managing applications that heavily rely on LLM APIs and want to capture, debug, and analyze traces and metrics in real-time using Open Telemetry. ## 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. ## When NOT to use langtrace - - If you need proprietary features absent from the AGPL-3.0 open-source license, as Langtrace's nature may limit its use in closed or commercial projects. - - For organizations with existing observability solutions deeply integrated into their infrastructure that do not benefit significantly from adding an additional layer of monitoring. ## Common questions ### What is the difference between phoenix and langtrace? phoenix: AI Observability & Evaluation. langtrace: Open Source Observability for LLM Applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose phoenix over langtrace? Choose phoenix over langtrace when phoenix is primarily Python; langtrace is TypeScript; License: phoenix is Other, langtrace is AGPL-3.0; Graph edge: phoenix is a typed related of langtrace - see the relationship row above; Tags unique to phoenix: smolagents, agents, ai-monitoring, evals. ### When should I choose langtrace over phoenix? Choose langtrace over phoenix when langtrace is primarily TypeScript; phoenix is Python; License: langtrace is AGPL-3.0, phoenix is Other; Requirements: Self-hosting is available as an option if desired.; Graph edge: langtrace is a typed related of phoenix - see the relationship row above; Tags unique to langtrace: evaluations, llm, ai, observability; - When you are developing or managing applications that heavily rely on LLM APIs and want to capture, debug, and analyze traces and metrics in real-time using Open Telemetry. ### 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 langtrace? - If you need proprietary features absent from the AGPL-3.0 open-source license, as Langtrace's nature may limit its use in closed or commercial projects. - For organizations with existing observability solutions deeply integrated into their infrastructure that do not benefit significantly from adding an additional layer of monitoring. ### Is phoenix or langtrace more popular on GitHub? phoenix has more GitHub stars (10,453 vs 1,213). Stars measure visibility, not whether either tool fits your constraints. ### Are phoenix and langtrace open source? Yes - both are open-source projects on GitHub (phoenix: Other, langtrace: AGPL-3.0). ### Where can I find alternatives to phoenix or langtrace? GraphCanon lists graph-backed alternatives at /tools/arize-ai-phoenix/alternatives and /tools/scale3-labs-langtrace/alternatives (/tools/arize-ai-phoenix/alternatives.md, /tools/scale3-labs-langtrace/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-scale3-labs-langtrace.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, phoenix or langtrace? phoenix: Very active. langtrace: Slowing. 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 langtrace? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: phoenix: /tools/arize-ai-phoenix/trust; langtrace: /tools/scale3-labs-langtrace/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=arize-ai-phoenix`](/api/graphcanon/graph?tool=arize-ai-phoenix) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_