Comparison
langfuse vs uptrain
Verdict
Pick langfuse if langfuse is an open source AI engineering platform designed to support evaluation and observability functions for large language models; 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 today
vs
Trust & integrity
| Signal | langfuse | uptrain |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Dormant (731d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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 AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets
- uptrain
- Unified platform for evaluating and improving Generative AI applications
Stars
- langfuse
- 32k
- uptrain
- 2.4k
Forks
- langfuse
- 3.5k
- uptrain
- 204
Open issues
- langfuse
- 709
- uptrain
- 58
Language
- langfuse
- TypeScript
- uptrain
- Python
Adopt for
- langfuse
- Langfuse is an open source AI engineering platform designed to support evaluation and observability functions for large language models.
- 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
- Jul 31, 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
- 731d
Open issues (now)
- langfuse
- 709
- uptrain
- 58
Stars delta
- langfuse
- Unknown
- uptrain
- +4 (30d)
Open issues delta
- langfuse
- Unknown
- uptrain
- +3 (30d)
Full report
- langfuse
- Trust report
- uptrain
- 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.
- Pricing: Langfuse offers an open-source version under MIT license except for some 'ee' folders, indicating a possible enterprise edition. Specific pricing details are not provided within the repository content.
- Requirements: Requires Docker; Self-hosting options include Docker Compose and Kubernetes for deployment..
- Both UpTrain and Langfuse focus on evaluating and improving LLM applications but offer different functionalities and approaches.
- Tags unique to langfuse: analytics, observability, open-source, prompt management.
- Use Langfuse if you need advanced prompt management tools, as it offers comprehensive features specifically tailored for managing prompts efficiently.
When NOT to use langfuse
- Avoid using Langfuse if you prefer a vendor-managed service as it requires self-hosting. This can be less desirable for teams looking to minimize infrastructure management.
- If your development environment is not compatible with Kubernetes, Docker Compose configurations, or major cloud providers (AWS, Azure, GCP) that Langfuse supports via specific templates and Helm, it
- may not be the optimal choice.
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 (langfuse/langfuse) · observed Aug 1, 2026
- GitHub forks (langfuse/langfuse) · observed Aug 1, 2026
- Last push (langfuse/langfuse) · observed Jul 31, 2026
- License file (Other) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (uptrain-ai/uptrain) · observed Aug 20, 2026
- GitHub forks (uptrain-ai/uptrain) · observed Aug 20, 2026
- Last push (uptrain-ai/uptrain) · observed Aug 18, 2024
- License file (Apache-2.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langfuse 32k · uptrain 2.4k (synced Aug 1, 2026).
Common questions
- What is the difference between langfuse and uptrain?
- langfuse: Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. 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; Pricing: Langfuse offers an open-source version under MIT license except for some 'ee' folders, indicating a possible enterprise edition. Specific pricing details are not provided within the repository content; Requirements: Requires Docker; Self-hosting options include Docker Compose and Kubernetes for deployment.; Both UpTrain and Langfuse focus on evaluating and improving LLM applications but offer different functionalities and approaches; Tags unique to langfuse: analytics, observability, open-source, prompt management; Use Langfuse if you need advanced prompt management tools, as it offers comprehensive features specifically tailored for managing prompts efficiently.
- 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?
- Avoid using Langfuse if you prefer a vendor-managed service as it requires self-hosting. This can be less desirable for teams looking to minimize infrastructure management. If your development environment is not compatible with Kubernetes, Docker Compose configurations, or major cloud providers (AWS, Azure, GCP) that Langfuse supports via specific templates and Helm, it may not be the optimal choice.
- 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 (32,271 vs 2,359). 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.