--- title: "agenta vs uptrain" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agenta-ai-agenta-vs-uptrain-ai-uptrain" tools: ["agenta-ai-agenta", "uptrain-ai-uptrain"] --- # agenta vs uptrain *GraphCanon updated Aug 20, 2026* ## 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. [agenta](http://www.agenta.ai) reports 4.4k GitHub stars, 609 forks, and 270 open issues, last pushed Aug 7, 2026. [uptrain](https://uptrain.ai/) has 2.4k stars, 204 forks, and 58 open issues, last pushed Aug 18, 2024. Figures are from public GitHub metadata via [agenta's repository](https://github.com/Agenta-AI/agenta) and [uptrain's repository](https://github.com/uptrain-ai/uptrain). | | [agenta](/tools/agenta-ai-agenta.md) | [uptrain](/tools/uptrain-ai-uptrain.md) | | --- | --- | --- | | Tagline | The open-source LLMOps platform for prompt management, evaluation, and observability. | Unified platform for evaluating and improving Generative AI applications | | Stars | 4,445 | 2,359 | | Forks | 609 | 204 | | Open issues | 270 | 58 | | Language | TypeScript | Python | | Adopt for | Agenta, an open-source LLMOps platform for prompt management, evaluation, and observability. | UpTrain, an open-source platform, evaluates and enhances Generative AI applications with preconfigured checks, root cause analysis, and actionable insights. | | Persona | - | - | | Runtime | - | - | | License | Other | The tool is available under the Apache-2.0 license, suitable for both free and commercial use with appropriate attribution. | | Categories | Evaluation & Observability, LLM Frameworks | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agenta](/tools/agenta-ai-agenta.md) | [uptrain](/tools/uptrain-ai-uptrain.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 731d | | Open issues (now) | 270 | 58 | | Stars delta | +170 (30d) | +4 (30d) | | Open issues delta | +109 (30d) | +3 (30d) | | Full report | [trust report](/tools/agenta-ai-agenta/trust.md) | [trust report](/tools/uptrain-ai-uptrain/trust.md) | **Typed relationship:** agenta _(related)_ uptrain ## Decision facts: agenta - **Adopt for:** Agenta, an open-source LLMOps platform for prompt management, evaluation, and observability. ## Decision facts: uptrain - **Hosting:** self hosted - UpTrain can be installed on-premises using pip or accessed through a managed version. - **Adopt for:** UpTrain, an open-source platform, evaluates and enhances Generative AI applications with preconfigured checks, root cause analysis, and actionable insights. - **License detail:** The tool is available under the Apache-2.0 license, suitable for both free and commercial use with appropriate attribution. ## Choose when ### 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 ### 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 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 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. ## 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](/tools/agenta-ai-agenta/alternatives) and [uptrain alternatives](/tools/uptrain-ai-uptrain/alternatives) ([agenta markdown twin](/tools/agenta-ai-agenta/alternatives.md), [uptrain markdown twin](/tools/uptrain-ai-uptrain/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 [this comparison](/compare/agenta-ai-agenta-vs-uptrain-ai-uptrain.md) 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](/tools/agenta-ai-agenta/trust); [uptrain trust report](/tools/uptrain-ai-uptrain/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agenta-ai-agenta`](/api/graphcanon/graph?tool=agenta-ai-agenta) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_