--- title: "agenta vs langfuse" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agenta-ai-agenta-vs-langfuse-langfuse" tools: ["agenta-ai-agenta", "langfuse-langfuse"] --- # agenta vs langfuse Neutral, constraint-first comparison with live GitHub stats. | | [agenta](/tools/agenta-ai-agenta.md) | [langfuse](/tools/langfuse-langfuse.md) | | --- | --- | --- | | Tagline | The open-source LLMOps platform | Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. | | Stars | 4,275 | 30,693 | | Forks | 562 | 3,221 | | Open issues | 161 | 700 | | Language | TypeScript | TypeScript | | Adopt for | Agента is an open-source LLMOps platform that provides comprehensive capabilities for prompt management, evaluation, and observability of LLM applications. | 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 | | Persona | - | - | | Runtime | - | - | | License | The software is distributed under the MIT license, making it free for use and modification. | MIT License | | Categories | Evaluation & Observability, LLM Frameworks | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agenta](/tools/agenta-ai-agenta.md) | [langfuse](/tools/langfuse-langfuse.md) | | --- | --- | --- | | Open issues (now) | 161 | 700 | | Security scan | Not scanned | No lockfile | | Full report | [trust report](/tools/agenta-ai-agenta/trust.md) | [trust report](/tools/langfuse-langfuse/trust.md) | **Typed relationship:** agenta _(alternative)_ langfuse Both Agenta and Langfuse provide platforms for LLM evaluation, observability, and management. ## Decision facts: agenta - **Adopt for:** Agента is an open-source LLMOps platform that provides comprehensive capabilities for prompt management, evaluation, and observability of LLM applications. - **License detail:** The software is distributed under the MIT license, making it free for use and modification. ## 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 ## Choose when ### Choose agenta if… - Both Agenta and Langfuse provide platforms for LLM evaluation, observability, and management. - Tags unique to agenta: agents, prompt-management. - Also covers LLM Frameworks. - - When you need a unified platform for managing prompts, evaluating model performance, and monitoring LLM applications. ### Choose langfuse if… - Requirements: Requires Docker. - Both Agenta and Langfuse provide platforms for LLM evaluation, observability, and management. - Tags unique to langfuse: analytics, open-source. - langfuse ships Docker support for self-hosted deployment. - You need detailed observability insights specific to LLMs like tracking usage through integration with OpenTelemetry. ## When NOT to use agenta - - If your project already has a robust set of isolated tools for prompt engineering, evaluation, or observability that you do not wish to unify under one platform. - - In cases where open-source licensing conflicts with your project's requirements or policies, as Agenta is MIT-licensed. ## 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. ## Common questions ### What is the difference between agenta and langfuse? agenta: The open-source LLMOps platform. 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 agenta over langfuse? Choose agenta over langfuse when Both Agenta and Langfuse provide platforms for LLM evaluation, observability, and management; Tags unique to agenta: agents, prompt-management; Also covers LLM Frameworks; - When you need a unified platform for managing prompts, evaluating model performance, and monitoring LLM applications. ### When should I choose langfuse over agenta? Choose langfuse over agenta when Requirements: Requires Docker; Both Agenta and Langfuse provide platforms for LLM evaluation, observability, and management; Tags unique to langfuse: analytics, open-source; langfuse ships Docker support for self-hosted deployment; You need detailed observability insights specific to LLMs like tracking usage through integration with OpenTelemetry. ### When should I avoid agenta? - If your project already has a robust set of isolated tools for prompt engineering, evaluation, or observability that you do not wish to unify under one platform. - In cases where open-source licensing conflicts with your project's requirements or policies, as Agenta is MIT-licensed. ### 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. ### Is agenta or langfuse more popular on GitHub? langfuse has more GitHub stars (30,693 vs 4,275). Stars measure visibility, not whether either tool fits your constraints. ### Are agenta and langfuse open source? Yes - both are open-source projects on GitHub (agenta: Other, langfuse: Other). ### Where can I find alternatives to agenta or langfuse? GraphCanon lists graph-backed alternatives at /tools/agenta-ai-agenta/alternatives and /tools/langfuse-langfuse/alternatives (/tools/agenta-ai-agenta/alternatives.md, /tools/langfuse-langfuse/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/agenta-ai-agenta-vs-langfuse-langfuse.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agenta or langfuse? agenta: 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 agenta and langfuse? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agenta: /tools/agenta-ai-agenta/trust; langfuse: /tools/langfuse-langfuse/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agenta-ai-agenta`](/api/graphcanon/graph?tool=agenta-ai-agenta) - 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/_