--- title: "langfuse vs langtrace" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langfuse-langfuse-vs-scale3-labs-langtrace" tools: ["langfuse-langfuse", "scale3-labs-langtrace"] --- # langfuse vs langtrace Neutral, constraint-first comparison with live GitHub stats. | | [langfuse](/tools/langfuse-langfuse.md) | [langtrace](/tools/scale3-labs-langtrace.md) | | --- | --- | --- | | Tagline | Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. | Open Source Observability for LLM Applications | | Stars | 30,693 | 1,213 | | Forks | 3,221 | 124 | | Open issues | 700 | 1 | | Language | TypeScript | TypeScript | | Adopt for | Langfuse is an open-source AI engineering platform focused on the evaluation and monitoring of large language models (LLMs), offering a comprehensive set of tools including evaluations, observability features, metrics, a | 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 | MIT License | 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._ | | [langfuse](/tools/langfuse-langfuse.md) | [langtrace](/tools/scale3-labs-langtrace.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 232d | | Open issues (now) | 700 | 1 | | Security scan | No lockfile | Not scanned | | Full report | [trust report](/tools/langfuse-langfuse/trust.md) | [trust report](/tools/scale3-labs-langtrace/trust.md) | **Typed relationship:** langfuse _(related)_ langtrace ## Shared compatibility - **Python**: [langfuse](/tools/langfuse-langfuse.md) - Python runtime; [langtrace](/tools/scale3-labs-langtrace.md) - Python runtime ## Decision facts: langfuse - **Hosting:** self hosted - **Requirements:** Requires Docker - **Adopt for:** Langfuse is an open-source AI engineering platform focused on the evaluation and monitoring of large language models (LLMs), offering a comprehensive set of tools including evaluations, observability features, metrics, a - **License detail:** MIT License ## 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 langfuse if… - License: langfuse is Other, langtrace is AGPL-3.0. - Requirements: Requires Docker. - Graph edge: langfuse is a typed related of langtrace - see the relationship row above. - Tags unique to langfuse: evaluation, analytics, llm-observability, llm-evaluation. - You need detailed observability insights specific to LLMs like tracking usage through integration with OpenTelemetry. ### Choose langtrace if… - License: langtrace is AGPL-3.0, langfuse is Other. - Requirements: Self-hosting is available as an option if desired.. - Graph edge: langtrace is a typed related of langfuse - see the relationship row above. - Tags unique to langtrace: evaluations, llm, ai, datasets. - - 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 langfuse - You require a proprietary solution that offers specialized features not available in open-source tools like Langfuse. - Your team is strictly bound to use technologies exclusively from major vendors and cannot accommodate external open-source dependencies. - The existing toolset in your tech stack does not benefit from integrations with OpenTelemetry, LangChain or the OpenAI SDK. ## 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 langfuse and langtrace? langfuse: Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets.. langtrace: Open Source Observability for LLM Applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose langfuse over langtrace? Choose langfuse over langtrace when License: langfuse is Other, langtrace is AGPL-3.0; Requirements: Requires Docker; Graph edge: langfuse is a typed related of langtrace - see the relationship row above; Tags unique to langfuse: evaluation, analytics, llm-observability, llm-evaluation; You need detailed observability insights specific to LLMs like tracking usage through integration with OpenTelemetry. ### When should I choose langtrace over langfuse? Choose langtrace over langfuse when License: langtrace is AGPL-3.0, langfuse is Other; Requirements: Self-hosting is available as an option if desired.; Graph edge: langtrace is a typed related of langfuse - see the relationship row above; Tags unique to langtrace: evaluations, llm, ai, datasets; - 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 langfuse? You require a proprietary solution that offers specialized features not available in open-source tools like Langfuse. Your team is strictly bound to use technologies exclusively from major vendors and cannot accommodate external open-source dependencies. The existing toolset in your tech stack does not benefit from integrations with OpenTelemetry, LangChain or the OpenAI SDK. ### 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 langfuse or langtrace more popular on GitHub? langfuse has more GitHub stars (30,693 vs 1,213). Stars measure visibility, not whether either tool fits your constraints. ### Are langfuse and langtrace open source? Yes - both are open-source projects on GitHub (langfuse: Other, langtrace: AGPL-3.0). ### Where can I find alternatives to langfuse or langtrace? GraphCanon lists graph-backed alternatives at /tools/langfuse-langfuse/alternatives and /tools/scale3-labs-langtrace/alternatives (/tools/langfuse-langfuse/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/langfuse-langfuse-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, langfuse or langtrace? langfuse: 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 langfuse and langtrace? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langfuse: /tools/langfuse-langfuse/trust; langtrace: /tools/scale3-labs-langtrace/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langfuse-langfuse`](/api/graphcanon/graph?tool=langfuse-langfuse) - 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/_