Comparison
agenta vs uptrain
Verdict
Pick agenta if agenta, an open-source LLMOps platform for prompt management, evaluation, and observability; 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 · agenta alternatives · uptrain alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | agenta | uptrain |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Dormant (731d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 1d · 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
- agenta
- The open-source LLMOps platform for prompt management, evaluation, and observability.
- uptrain
- Unified platform for evaluating and improving Generative AI applications
Stars
- agenta
- 4.4k
- uptrain
- 2.4k
Forks
- agenta
- 609
- uptrain
- 204
Open issues
- agenta
- 270
- uptrain
- 58
Language
- agenta
- TypeScript
- uptrain
- Python
Adopt for
- agenta
- Agenta, an open-source LLMOps platform for prompt management, evaluation, and observability.
- uptrain
- UpTrain, an open-source platform, evaluates and enhances Generative AI applications with preconfigured checks, root cause analysis, and actionable insights.
Persona
- agenta
- -
- uptrain
- -
Runtime
- agenta
- -
- uptrain
- -
License
- agenta
- Other
- uptrain
- The tool is available under the Apache-2.0 license, suitable for both free and commercial use with appropriate attribution.
Last pushed
- agenta
- Aug 7, 2026
- uptrain
- Aug 18, 2024
Categories
- agenta
- Evaluation & Observability, LLM Frameworks
- uptrain
- Evaluation & Observability
Trust and health
Maintenance
- agenta
- Very active (96%)
- uptrain
- Dormant (18%)
Days since push
- agenta
- 0d
- uptrain
- 731d
Open issues (now)
- agenta
- 270
- uptrain
- 58
Stars delta
- agenta
- +170 (30d)
- uptrain
- +4 (30d)
Open issues delta
- agenta
- +109 (30d)
- uptrain
- +3 (30d)
Full report
- agenta
- Trust report
- uptrain
- Trust report
Typed relationship
agenta uptrain
Choose agenta if…
- agenta is primarily TypeScript; uptrain is Python.
- License: agenta is Other, uptrain is Apache-2.0.
- Graph edge: agenta is a typed related of uptrain - see the relationship row above.
- Tags unique to agenta: agents, llm-as-a-judge, llm-evaluation, llm-monitoring.
- Also covers LLM Frameworks.
- Need a self-hosted solution with built-in prompt playground and LLM evaluation capabilities
When NOT to use agenta
- Looking for a service without the need to manage self-hosting setup
- Require real-time collaboration features that are not provided within this platform's scope
Choose uptrain if…
- uptrain is primarily Python; agenta is TypeScript.
- License: uptrain is Apache-2.0, agenta is Other.
- UpTrain can be installed on-premises using pip or accessed through a managed version.
- Graph edge: uptrain is a typed related of agenta - see the relationship row above.
- Tags unique to uptrain: autoevaluation, experimentation, hallucination-detection, jailbreak-detection.
- uptrain ships Docker support for self-hosted deployment.
- - 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 (Agenta-AI/agenta) · observed Aug 7, 2026
- GitHub forks (Agenta-AI/agenta) · observed Aug 7, 2026
- Last push (Agenta-AI/agenta) · observed Aug 7, 2026
- License file (Other) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 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: agenta 4.4k · uptrain 2.4k (synced Aug 7, 2026).
Common questions
- What is the difference between agenta and uptrain?
- agenta: The open-source LLMOps platform for prompt management, evaluation, and observability.. 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 agenta over uptrain?
- Choose agenta over uptrain when agenta is primarily TypeScript; uptrain is Python; License: agenta is Other, uptrain is Apache-2.0; Graph edge: agenta is a typed related of uptrain - see the relationship row above; Tags unique to agenta: agents, llm-as-a-judge, llm-evaluation, llm-monitoring; Also covers LLM Frameworks; Need a self-hosted solution with built-in prompt playground and LLM evaluation capabilities.
- When should I choose uptrain over agenta?
- Choose uptrain over agenta when uptrain is primarily Python; agenta is TypeScript; License: uptrain is Apache-2.0, agenta is Other; UpTrain can be installed on-premises using pip or accessed through a managed version; Graph edge: uptrain is a typed related of agenta - see the relationship row above; Tags unique to uptrain: autoevaluation, experimentation, hallucination-detection, jailbreak-detection; uptrain ships Docker support for self-hosted deployment; - When you need to evaluate Generative AI applications across various use-cases including language models, code generation, and embeddings.
- When should I avoid agenta?
- Looking for a service without the need to manage self-hosting setup Require real-time collaboration features that are not provided within this platform's scope
- 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 agenta or uptrain more popular on GitHub?
- agenta has more GitHub stars (4,445 vs 2,359). Stars measure visibility, not whether either tool fits your constraints.
- Are agenta and uptrain open source?
- Yes - both are open-source projects on GitHub (agenta: Other, uptrain: Apache-2.0).
- Where can I find alternatives to agenta or uptrain?
- GraphCanon lists graph-backed alternatives at agenta alternatives and uptrain alternatives (agenta 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, agenta or uptrain?
- agenta: 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 agenta and uptrain?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agenta trust report; uptrain trust report.