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Comparison

langfuse vs promptfoo

langfuse (Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets.) vs promptfoo (CLI and library for evaluating and red-teaming LLM apps) - live GitHub stats and typed graph relationships, not marketing.

Markdown twin · langfuse alternatives · promptfoo alternatives

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langfuse

langfuse/langfuse

★ 31kpushed Jul 8, 2026

promptfoo

promptfoo/promptfoo

★ 23kpushed Jul 8, 2026

Tagline

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

Stars

langfuse: 31k
promptfoo: 23k

Forks

langfuse: 3.2k
promptfoo: 2.1k

Open issues

langfuse: 700
promptfoo: 404

Language

langfuse: TypeScript
promptfoo: TypeScript

Adopt for

langfuse: 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: 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

langfuse: -
promptfoo: -

Runtime

langfuse: -
promptfoo: -

License

langfuse: MIT License
promptfoo: MIT

Last pushed

langfuse: Jul 8, 2026
promptfoo: Jul 8, 2026

	langfuse	promptfoo
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	31k	23k
Forks	3.2k	2.1k
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
Last pushed	Jul 8, 2026	Jul 8, 2026
Categories	Evaluation & Observability	Evaluation & Observability
Trust and health
Open issues (now)	700	404
Full report	Trust report	Trust report
Typed relationship	langfuse alternative promptfooBoth Promptfoo and Langfuse offer evaluation and observability for LLMs, but they do so through different methodologies and toolsets.
Shared compatibility	Python · langfuse: Python runtime · promptfoo: Python runtime

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.

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.

GitHub Details

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 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.

GitHub Details

Explore

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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.