--- title: "lmms-eval vs viewer" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/evolvinglmms-lab-lmms-eval-vs-zetane-viewer" tools: ["evolvinglmms-lab-lmms-eval", "zetane-viewer"] --- # lmms-eval vs viewer *GraphCanon updated Aug 17, 2026* ## Verdict Pick lmms-eval if lmms-eval is a one-stop solution for benchmarking multimodal large language models across various tasks including text, image, video, and audio; pick viewer if zetane viewer aids in visualizing ML models and their tensors in an interactive 3D environment, aiding comprehension and debugging. [lmms-eval](https://www.lmms-lab.com) reports 4.4k GitHub stars, 639 forks, and 49 open issues, last pushed Aug 6, 2026. [viewer](https://github.com/zetane/viewer) has 1.8k stars, 168 forks, and 17 open issues, last pushed Aug 8, 2022. Figures are from public GitHub metadata via [lmms-eval's repository](https://github.com/EvolvingLMMs-Lab/lmms-eval) and [viewer's repository](https://github.com/zetane/viewer). | | [lmms-eval](/tools/evolvinglmms-lab-lmms-eval.md) | [viewer](/tools/zetane-viewer.md) | | --- | --- | --- | | Tagline | One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks | ML models and internal tensors 3D visualizer | | Stars | 4,368 | 1,835 | | Forks | 639 | 168 | | Open issues | 49 | 17 | | Language | Python | Python | | Adopt for | lmms-eval is a one-stop solution for benchmarking multimodal large language models across various tasks including text, image, video, and audio. | Zetane viewer aids in visualizing ML models and their tensors in an interactive 3D environment, aiding comprehension and debugging. | | Persona | - | - | | Runtime | - | - | | License | Other | (unknown) | | Categories | Evaluation & Observability | Developer Tools, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lmms-eval](/tools/evolvinglmms-lab-lmms-eval.md) | [viewer](/tools/zetane-viewer.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 11d | 1456d | | Open issues (now) | 49 | 17 | | Stars delta | +52 (30d) | Unknown | | Open issues delta | +9 (30d) | Unknown | | Full report | [trust report](/tools/evolvinglmms-lab-lmms-eval/trust.md) | [trust report](/tools/zetane-viewer/trust.md) | ## Decision facts: lmms-eval - **Adopt for:** lmms-eval is a one-stop solution for benchmarking multimodal large language models across various tasks including text, image, video, and audio. ## Decision facts: viewer - **Adopt for:** Zetane viewer aids in visualizing ML models and their tensors in an interactive 3D environment, aiding comprehension and debugging. - **License detail:** (unknown) ## Choose when ### Choose lmms-eval if… - Tags unique to lmms-eval: agi, audio-evaluation, benchmark, evaluation. - You need to evaluate LLaVA series models on different datasets with precise control over reproducibility details like torch/cuda versions. - More GitHub stars (4.4k vs 1.8k) - visibility, not fit. ### Choose viewer if… - Tags unique to viewer: 3d, exploration, files, free software. - Also covers Developer Tools. - You require a detailed, 3D visualization of model structures and tensor data. ## When NOT to use lmms-eval - Looking for a tool that supports less than Python 3.12, as uv setup mandates this version. - Requiring support beyond text, image, video, and audio modalities which lmms-eval specifically covers. - Your project doesn't benefit from extensive results tracking in Google Sheets or relies solely on alternative reproducibility mechanisms without external dependencies. ## When NOT to use viewer - Your workflow necessitates non-interactive visualization methods. - The viewer's license ambiguity could pose risks to proprietary projects or sensitive data handling. ## Common questions ### What is the difference between lmms-eval and viewer? lmms-eval: One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks. viewer: ML models and internal tensors 3D visualizer. See the comparison table for live GitHub stats and shared categories. ### When should I choose lmms-eval over viewer? Choose lmms-eval over viewer when Tags unique to lmms-eval: agi, audio-evaluation, benchmark, evaluation; You need to evaluate LLaVA series models on different datasets with precise control over reproducibility details like torch/cuda versions; More GitHub stars (4.4k vs 1.8k) - visibility, not fit. ### When should I choose viewer over lmms-eval? Choose viewer over lmms-eval when Tags unique to viewer: 3d, exploration, files, free software; Also covers Developer Tools; You require a detailed, 3D visualization of model structures and tensor data. ### When should I avoid lmms-eval? Looking for a tool that supports less than Python 3.12, as uv setup mandates this version. Requiring support beyond text, image, video, and audio modalities which lmms-eval specifically covers. Your project doesn't benefit from extensive results tracking in Google Sheets or relies solely on alternative reproducibility mechanisms without external dependencies. ### When should I avoid viewer? Your workflow necessitates non-interactive visualization methods. The viewer's license ambiguity could pose risks to proprietary projects or sensitive data handling. ### Is lmms-eval or viewer more popular on GitHub? lmms-eval has more GitHub stars (4,368 vs 1,835). Stars measure visibility, not whether either tool fits your constraints. ### Are lmms-eval and viewer open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to lmms-eval or viewer? GraphCanon lists graph-backed alternatives at [lmms-eval alternatives](/tools/evolvinglmms-lab-lmms-eval/alternatives) and [viewer alternatives](/tools/zetane-viewer/alternatives) ([lmms-eval markdown twin](/tools/evolvinglmms-lab-lmms-eval/alternatives.md), [viewer markdown twin](/tools/zetane-viewer/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/evolvinglmms-lab-lmms-eval-vs-zetane-viewer.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, lmms-eval or viewer? lmms-eval: Active. viewer: 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 lmms-eval and viewer? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lmms-eval trust report](/tools/evolvinglmms-lab-lmms-eval/trust); [viewer trust report](/tools/zetane-viewer/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=evolvinglmms-lab-lmms-eval`](/api/graphcanon/graph?tool=evolvinglmms-lab-lmms-eval) - 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/_