Comparison
agenta vs langfuse
agenta (The open-source LLMOps platform) vs langfuse (Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets.) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · agenta alternatives · langfuse alternatives
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Tagline
- agenta
- The open-source LLMOps platform
- langfuse
- Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets.
Stars
- agenta
- 4.3k
- langfuse
- 31k
Forks
- agenta
- 562
- langfuse
- 3.2k
Open issues
- agenta
- 161
- langfuse
- 700
Language
- agenta
- TypeScript
- langfuse
- TypeScript
Adopt for
- agenta
- Agента is an open-source LLMOps platform that provides comprehensive capabilities for prompt management, evaluation, and observability of LLM applications.
- 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
Persona
- agenta
- -
- langfuse
- -
Runtime
- agenta
- -
- langfuse
- -
License
- agenta
- The software is distributed under the MIT license, making it free for use and modification.
- langfuse
- MIT License
Last pushed
- agenta
- Jul 8, 2026
- langfuse
- Jul 8, 2026
Categories
- agenta
- LLM Frameworks, Evaluation & Observability
- langfuse
- Evaluation & Observability
Trust and health
Open issues (now)
- agenta
- 161
- langfuse
- 700
Security scan
- agenta
- Not scanned
- langfuse
- No lockfile
Full report
- agenta
- Trust report
- langfuse
- Trust report
Typed relationship
agenta alternative langfuseBoth Agenta and Langfuse provide platforms for LLM evaluation, observability, and management.
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.
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.
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 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.
Explore
agenta trust report →langfuse trust report →LLM Frameworks category →Evaluation & Observability category →All comparisonsStack workflowsTrending tools
Related comparisons
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.