--- title: "agenta vs VLMEvalKit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agenta-ai-agenta-vs-open-compass-vlmevalkit" tools: ["agenta-ai-agenta", "open-compass-vlmevalkit"] --- # agenta vs VLMEvalKit *GraphCanon updated Aug 17, 2026* ## Verdict Pick agenta if agenta, an open-source LLMOps platform for prompt management, evaluation, and observability; pick VLMEvalKit if vLMEvalKit is an open-source Python evaluation toolkit for large vision-language models that offers one-command evaluation with support for various benchmarks and models. [agenta](http://www.agenta.ai) reports 4.4k GitHub stars, 609 forks, and 270 open issues, last pushed Aug 7, 2026. [VLMEvalKit](https://huggingface.co/spaces/opencompass/open_vlm_leaderboard) has 4.3k stars, 745 forks, and 285 open issues, last pushed Aug 17, 2026. Figures are from public GitHub metadata via [agenta's repository](https://github.com/Agenta-AI/agenta) and [VLMEvalKit's repository](https://github.com/open-compass/VLMEvalKit). | | [agenta](/tools/agenta-ai-agenta.md) | [VLMEvalKit](/tools/open-compass-vlmevalkit.md) | | --- | --- | --- | | Tagline | The open-source LLMOps platform for prompt management, evaluation, and observability. | An open-source evaluation toolkit for large vision-language models | | Stars | 4,445 | 4,345 | | Forks | 609 | 745 | | Open issues | 270 | 285 | | Language | TypeScript | Python | | Adopt for | Agenta, an open-source LLMOps platform for prompt management, evaluation, and observability. | VLMEvalKit is an open-source Python evaluation toolkit for large vision-language models that offers one-command evaluation with support for various benchmarks and models. | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | 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) | [VLMEvalKit](/tools/open-compass-vlmevalkit.md) | | --- | --- | --- | | Open issues (now) | 270 | 285 | | Stars delta | +170 (30d) | +60 (30d) | | Open issues delta | +109 (30d) | +21 (30d) | | Full report | [trust report](/tools/agenta-ai-agenta/trust.md) | [trust report](/tools/open-compass-vlmevalkit/trust.md) | **Typed relationship:** agenta _(related)_ VLMEvalKit ## Decision facts: agenta - **Adopt for:** Agenta, an open-source LLMOps platform for prompt management, evaluation, and observability. ## Decision facts: VLMEvalKit - **Adopt for:** VLMEvalKit is an open-source Python evaluation toolkit for large vision-language models that offers one-command evaluation with support for various benchmarks and models. ## Choose when ### Choose agenta if… - agenta is primarily TypeScript; VLMEvalKit is Python. - License: agenta is Other, VLMEvalKit is Apache-2.0. - Graph edge: agenta is a typed related of VLMEvalKit - 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 VLMEvalKit if… - VLMEvalKit is primarily Python; agenta is TypeScript. - License: VLMEvalKit is Apache-2.0, agenta is Other. - Graph edge: VLMEvalKit is a typed related of agenta - see the relationship row above. - Tags unique to VLMEvalKit: computer-vision, large language models, llm, multi-modal. - When you need to evaluate models supporting thinking mode, as it provides a custom split_thinking function improving accuracy. ## 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 VLMEvalKit - If your project requires evaluation tools that generate Excel files with individual cells larger than the default support of 32,767 characters and cannot switch to TSV format. - When you do not need generation-based evaluation methods with exact matching and LLM-based answer extraction. ## Common questions ### What is the difference between agenta and VLMEvalKit? agenta: The open-source LLMOps platform for prompt management, evaluation, and observability.. VLMEvalKit: An open-source evaluation toolkit for large vision-language models. See the comparison table for live GitHub stats and shared categories. ### When should I choose agenta over VLMEvalKit? Choose agenta over VLMEvalKit when agenta is primarily TypeScript; VLMEvalKit is Python; License: agenta is Other, VLMEvalKit is Apache-2.0; Graph edge: agenta is a typed related of VLMEvalKit - 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 VLMEvalKit over agenta? Choose VLMEvalKit over agenta when VLMEvalKit is primarily Python; agenta is TypeScript; License: VLMEvalKit is Apache-2.0, agenta is Other; Graph edge: VLMEvalKit is a typed related of agenta - see the relationship row above; Tags unique to VLMEvalKit: computer-vision, large language models, llm, multi-modal; When you need to evaluate models supporting thinking mode, as it provides a custom split_thinking function improving accuracy. ### 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 VLMEvalKit? If your project requires evaluation tools that generate Excel files with individual cells larger than the default support of 32,767 characters and cannot switch to TSV format. When you do not need generation-based evaluation methods with exact matching and LLM-based answer extraction. ### Is agenta or VLMEvalKit more popular on GitHub? agenta has more GitHub stars (4,445 vs 4,345). Stars measure visibility, not whether either tool fits your constraints. ### Are agenta and VLMEvalKit open source? Yes - both are open-source projects on GitHub (agenta: Other, VLMEvalKit: Apache-2.0). ### Where can I find alternatives to agenta or VLMEvalKit? GraphCanon lists graph-backed alternatives at [agenta alternatives](/tools/agenta-ai-agenta/alternatives) and [VLMEvalKit alternatives](/tools/open-compass-vlmevalkit/alternatives) ([agenta markdown twin](/tools/agenta-ai-agenta/alternatives.md), [VLMEvalKit markdown twin](/tools/open-compass-vlmevalkit/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-open-compass-vlmevalkit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agenta or VLMEvalKit? agenta: Very active. VLMEvalKit: 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 VLMEvalKit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agenta trust report](/tools/agenta-ai-agenta/trust); [VLMEvalKit trust report](/tools/open-compass-vlmevalkit/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/_