Home/Compare/langfuse vs uptrain

Comparison

langfuse vs uptrain

Verdict

Pick langfuse if langfuse is an open-source platform for evaluating and monitoring large language model applications, offering self-hosting options for local, VM, and Kubernetes environments; pick uptrain if upTrain, an open-source platform, evaluates and enhances Generative AI applications with preconfigured checks, root cause analysis, and actionable insights.

Markdown twin · langfuse alternatives · uptrain alternatives

GraphCanon updated Sep 20, 2026

20views this month

langfuse logo

langfuse

langfuse/langfuse

★ 35kpushed Sep 18, 2026
vs
uptrain logo

uptrain

uptrain-ai/uptrain

★ 2.4kpushed Aug 18, 2024

Trust & integrity

Signallangfuseuptrain
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Dormant (762d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

langfuse
Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.
uptrain
Unified platform for evaluating and improving Generative AI applications

Stars

langfuse
35k
uptrain
2.4k

Forks

langfuse
3.8k
uptrain
205

Open issues

langfuse
906
uptrain
65

Language

langfuse
TypeScript
uptrain
Python

Adopt for

langfuse
Langfuse is an open-source platform for evaluating and monitoring large language model applications, offering self-hosting options for local, VM, and Kubernetes environments.
uptrain
UpTrain, an open-source platform, evaluates and enhances Generative AI applications with preconfigured checks, root cause analysis, and actionable insights.

Persona

langfuse
-
uptrain
-

Runtime

langfuse
-
uptrain
-

License

langfuse
Other
uptrain
The tool is available under the Apache-2.0 license, suitable for both free and commercial use with appropriate attribution.

Last pushed

langfuse
Sep 18, 2026
uptrain
Aug 18, 2024

Categories

langfuse
Evaluation & Observability
uptrain
Evaluation & Observability

Trust and health

Maintenance

langfuse
Very active (96%)
uptrain
Dormant (18%)

Days since push

langfuse
0d
uptrain
762d

Open issues (now)

langfuse
906
uptrain
65

Stars delta

langfuse
+2.5k (30d)
uptrain
+6 (30d)

Open issues delta

langfuse
+197 (30d)
uptrain
+7 (30d)

Full report

langfuse
Trust report

Typed relationship

langfuse alternative uptrainBoth UpTrain and Langfuse focus on evaluating and improving LLM applications but offer different functionalities and approaches.

Choose langfuse if…

  • langfuse is primarily TypeScript; uptrain is Python.
  • License: langfuse is Other, uptrain is Apache-2.0.
  • Both UpTrain and Langfuse focus on evaluating and improving LLM applications but offer different functionalities and approaches.
  • Tags unique to langfuse: analytics, llm-observability, monitoring, open-source.
  • When you need a self-hosted solution for evaluating and monitoring large language model applications, as Langfuse supports local, VM, and Kubernetes environments.

When NOT to use langfuse

  • If you are looking for a fully managed service without the need for self-hosting, as Langfuse requires setting up and maintaining the infrastructure yourself.
  • When you need enterprise features that are not covered by the open-source version, as the `ee` folders are not open-source and may require additional licensing or services.

Choose uptrain if…

  • uptrain is primarily Python; langfuse is TypeScript.
  • License: uptrain is Apache-2.0, langfuse is Other.
  • UpTrain can be installed on-premises using pip or accessed through a managed version.
  • Both UpTrain and Langfuse focus on evaluating and improving LLM applications but offer different functionalities and approaches.
  • Tags unique to uptrain: autoevaluation, experimentation, hallucination-detection, jailbreak-detection.
  • - When you need to evaluate Generative AI applications across various use-cases including language models, code generation, and embeddings.

When NOT to use uptrain

  • - When your application does not require extensive monitoring or do not need insights into improving Generative AI performance through root cause analysis.
  • - If you prioritize a highly hands-off user experience without the capability to customize evaluation checks, consider using UpTrain's managed version instead of self-managing it.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: langfuse 35k · uptrain 2.4k (synced Sep 20, 2026).

Common questions

What is the difference between langfuse and uptrain?
langfuse: Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.. uptrain: Unified platform for evaluating and improving Generative AI applications. See the comparison table for live GitHub stats and shared categories.
When should I choose langfuse over uptrain?
Choose langfuse over uptrain when langfuse is primarily TypeScript; uptrain is Python; License: langfuse is Other, uptrain is Apache-2.0; Both UpTrain and Langfuse focus on evaluating and improving LLM applications but offer different functionalities and approaches; Tags unique to langfuse: analytics, llm-observability, monitoring, open-source; When you need a self-hosted solution for evaluating and monitoring large language model applications, as Langfuse supports local, VM, and Kubernetes environments.
When should I choose uptrain over langfuse?
Choose uptrain over langfuse when uptrain is primarily Python; langfuse is TypeScript; License: uptrain is Apache-2.0, langfuse is Other; UpTrain can be installed on-premises using pip or accessed through a managed version; Both UpTrain and Langfuse focus on evaluating and improving LLM applications but offer different functionalities and approaches; Tags unique to uptrain: autoevaluation, experimentation, hallucination-detection, jailbreak-detection; - When you need to evaluate Generative AI applications across various use-cases including language models, code generation, and embeddings.
When should I avoid langfuse?
If you are looking for a fully managed service without the need for self-hosting, as Langfuse requires setting up and maintaining the infrastructure yourself. When you need enterprise features that are not covered by the open-source version, as the ee folders are not open-source and may require additional licensing or services.
When should I avoid uptrain?
- When your application does not require extensive monitoring or do not need insights into improving Generative AI performance through root cause analysis. - If you prioritize a highly hands-off user experience without the capability to customize evaluation checks, consider using UpTrain's managed version instead of self-managing it.
Is langfuse or uptrain more popular on GitHub?
langfuse has more GitHub stars (34,763 vs 2,365). Stars measure visibility, not whether either tool fits your constraints.
Are langfuse and uptrain open source?
Yes - both are open-source projects on GitHub (langfuse: Other, uptrain: Apache-2.0).
Where can I find alternatives to langfuse or uptrain?
GraphCanon lists graph-backed alternatives at langfuse alternatives and uptrain alternatives (langfuse markdown twin, uptrain markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, langfuse or uptrain?
langfuse: Very active. uptrain: Dormant. 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 uptrain?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langfuse trust report; uptrain trust report.

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