--- title: "langfuse vs promptfoo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langfuse-langfuse-vs-promptfoo-promptfoo" tools: ["langfuse-langfuse", "promptfoo-promptfoo"] --- # langfuse vs promptfoo Neutral, constraint-first comparison with live GitHub stats. | | [langfuse](/tools/langfuse-langfuse.md) | [promptfoo](/tools/promptfoo-promptfoo.md) | | --- | --- | --- | | Tagline | Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. | CLI and library for evaluating and red-teaming LLM apps | | Stars | 30,693 | 23,045 | | Forks | 3,221 | 2,056 | | Open issues | 700 | 404 | | 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 | Promptfoo is a CLI and library for evaluating Language Model (LM) applications, including testing prompts and models, red teaming LM apps, and integrating with CI/CD pipelines. It's designed to help ensure the security,靠 | | Persona | - | - | | Runtime | - | - | | License | MIT License | MIT | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langfuse](/tools/langfuse-langfuse.md) | [promptfoo](/tools/promptfoo-promptfoo.md) | | --- | --- | --- | | Open issues (now) | 700 | 404 | | Full report | [trust report](/tools/langfuse-langfuse/trust.md) | [trust report](/tools/promptfoo-promptfoo/trust.md) | **Typed relationship:** langfuse _(alternative)_ promptfoo Both Promptfoo and Langfuse offer evaluation and observability for LLMs, but they do so through different methodologies and toolsets. ## Shared compatibility - **Python**: [langfuse](/tools/langfuse-langfuse.md) - Python runtime; [promptfoo](/tools/promptfoo-promptfoo.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: promptfoo - **Adopt for:** Promptfoo is a CLI and library for evaluating Language Model (LM) applications, including testing prompts and models, red teaming LM apps, and integrating with CI/CD pipelines. It's designed to help ensure the security,靠 ## Choose when ### Choose langfuse if… - License: langfuse is Other, promptfoo is MIT. - Requirements: Requires Docker. - Both Promptfoo and Langfuse offer evaluation and observability for LLMs, but they do so through different methodologies and toolsets. - Tags unique to langfuse: analytics, llm-observability, open-source. - You need detailed observability insights specific to LLMs like tracking usage through integration with OpenTelemetry. ### Choose promptfoo if… - License: promptfoo is MIT, langfuse is Other. - Both Promptfoo and Langfuse offer evaluation and observability for LLMs, but they do so through different methodologies and toolsets. - Tags unique to promptfoo: ci-cd, prompt-testing, prompt-engineering, ci. - When you need to evaluate the performance of different LLMs such as OpenAI, Anthropic, Azure, Bedrock, Ollama, etc., within a single interface. ## 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 promptfoo - When your environment does not support Node.js, as this is a requirement for Promptfoo's functionalities. - If you are looking for a tool that only focuses on model training or fine-tuning without the emphasis on evaluation and red-teaming aspects of language models. ## Common questions ### What is the difference between langfuse and promptfoo? langfuse: Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets.. promptfoo: CLI and library for evaluating and red-teaming LLM apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose langfuse over promptfoo? Choose langfuse over promptfoo when License: langfuse is Other, promptfoo is MIT; Requirements: Requires Docker; Both Promptfoo and Langfuse offer evaluation and observability for LLMs, but they do so through different methodologies and toolsets; Tags unique to langfuse: analytics, llm-observability, open-source; You need detailed observability insights specific to LLMs like tracking usage through integration with OpenTelemetry. ### When should I choose promptfoo over langfuse? Choose promptfoo over langfuse when License: promptfoo is MIT, langfuse is Other; Both Promptfoo and Langfuse offer evaluation and observability for LLMs, but they do so through different methodologies and toolsets; Tags unique to promptfoo: ci-cd, prompt-testing, prompt-engineering, ci; When you need to evaluate the performance of different LLMs such as OpenAI, Anthropic, Azure, Bedrock, Ollama, etc., within a single interface. ### 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 promptfoo? When your environment does not support Node.js, as this is a requirement for Promptfoo's functionalities. If you are looking for a tool that only focuses on model training or fine-tuning without the emphasis on evaluation and red-teaming aspects of language models. ### Is langfuse or promptfoo more popular on GitHub? langfuse has more GitHub stars (30,693 vs 23,045). Stars measure visibility, not whether either tool fits your constraints. ### Are langfuse and promptfoo open source? Yes - both are open-source projects on GitHub (langfuse: Other, promptfoo: MIT). ### Where can I find alternatives to langfuse or promptfoo? GraphCanon lists graph-backed alternatives at /tools/langfuse-langfuse/alternatives and /tools/promptfoo-promptfoo/alternatives (/tools/langfuse-langfuse/alternatives.md, /tools/promptfoo-promptfoo/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-promptfoo-promptfoo.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langfuse or promptfoo? langfuse: Very active. promptfoo: 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 langfuse and promptfoo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langfuse: /tools/langfuse-langfuse/trust; promptfoo: /tools/promptfoo-promptfoo/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/_