--- title: "athina-evals vs lmms-eval" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/athina-ai-athina-evals-vs-evolvinglmms-lab-lmms-eval" tools: ["athina-ai-athina-evals", "evolvinglmms-lab-lmms-eval"] --- # athina-evals vs lmms-eval *GraphCanon updated Aug 17, 2026* ## Verdict Pick athina-evals if athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks; 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. [athina-evals](https://docs.athina.ai) reports 301 GitHub stars, 22 forks, and 3 open issues, last pushed Jun 6, 2025. [lmms-eval](https://www.lmms-lab.com) has 4.4k stars, 639 forks, and 49 open issues, last pushed Aug 6, 2026. Figures are from public GitHub metadata via [athina-evals's repository](https://github.com/athina-ai/athina-evals) and [lmms-eval's repository](https://github.com/EvolvingLMMs-Lab/lmms-eval). | | [athina-evals](/tools/athina-ai-athina-evals.md) | [lmms-eval](/tools/evolvinglmms-lab-lmms-eval.md) | | --- | --- | --- | | Tagline | Python SDK for evaluating LLM generated responses | One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks | | Stars | 301 | 4,368 | | Forks | 22 | 639 | | Open issues | 3 | 49 | | Language | Python | Python | | Adopt for | athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks. | lmms-eval is a one-stop solution for benchmarking multimodal large language models across various tasks including text, image, video, and audio. | | Persona | - | - | | Runtime | - | - | | License | - | Other | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [athina-evals](/tools/athina-ai-athina-evals.md) | [lmms-eval](/tools/evolvinglmms-lab-lmms-eval.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 417d | 11d | | Open issues (now) | 3 | 49 | | Stars delta | Unknown | +52 (30d) | | Open issues delta | Unknown | +9 (30d) | | Full report | [trust report](/tools/athina-ai-athina-evals/trust.md) | [trust report](/tools/evolvinglmms-lab-lmms-eval/trust.md) | ## Decision facts: athina-evals - **Adopt for:** athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks. ## 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. ## Choose when ### Choose athina-evals if… - Tags unique to athina-evals: evaluation-framework, evaluation-metrics, llm-eval, llm-evaluation-toolkit. - When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics - Leaner open-issue backlog (3). ### Choose lmms-eval if… - Tags unique to lmms-eval: agi, audio-evaluation, benchmark, large language models. - 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 301) - visibility, not fit. ## When NOT to use athina-evals - If open-source alternatives with transparent customization options are preferred over athina-evals' approach - In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments ## 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. ## Common questions ### What is the difference between athina-evals and lmms-eval? athina-evals: Python SDK for evaluating LLM generated responses. lmms-eval: One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks. See the comparison table for live GitHub stats and shared categories. ### When should I choose athina-evals over lmms-eval? Choose athina-evals over lmms-eval when Tags unique to athina-evals: evaluation-framework, evaluation-metrics, llm-eval, llm-evaluation-toolkit; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; Leaner open-issue backlog (3). ### When should I choose lmms-eval over athina-evals? Choose lmms-eval over athina-evals when Tags unique to lmms-eval: agi, audio-evaluation, benchmark, large language models; 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 301) - visibility, not fit. ### When should I avoid athina-evals? If open-source alternatives with transparent customization options are preferred over athina-evals' approach In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments ### 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. ### Is athina-evals or lmms-eval more popular on GitHub? lmms-eval has more GitHub stars (4,368 vs 301). Stars measure visibility, not whether either tool fits your constraints. ### Are athina-evals and lmms-eval open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to athina-evals or lmms-eval? GraphCanon lists graph-backed alternatives at [athina-evals alternatives](/tools/athina-ai-athina-evals/alternatives) and [lmms-eval alternatives](/tools/evolvinglmms-lab-lmms-eval/alternatives) ([athina-evals markdown twin](/tools/athina-ai-athina-evals/alternatives.md), [lmms-eval markdown twin](/tools/evolvinglmms-lab-lmms-eval/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/athina-ai-athina-evals-vs-evolvinglmms-lab-lmms-eval.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, athina-evals or lmms-eval? athina-evals: Dormant. lmms-eval: 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 athina-evals and lmms-eval? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [athina-evals trust report](/tools/athina-ai-athina-evals/trust); [lmms-eval trust report](/tools/evolvinglmms-lab-lmms-eval/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=athina-ai-athina-evals`](/api/graphcanon/graph?tool=athina-ai-athina-evals) - 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/_