--- title: "lmms-eval vs jiwer" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/evolvinglmms-lab-lmms-eval-vs-jitsi-jiwer" tools: ["evolvinglmms-lab-lmms-eval", "jitsi-jiwer"] --- # lmms-eval vs jiwer *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 jiwer if a Python library for assessing speech-to-text systems with word error rate measures. [lmms-eval](https://www.lmms-lab.com) reports 4.4k GitHub stars, 639 forks, and 49 open issues, last pushed Aug 6, 2026. [jiwer](https://github.com/jitsi/jiwer) has 917 stars, 107 forks, and 19 open issues, last pushed Apr 16, 2026. Figures are from public GitHub metadata via [lmms-eval's repository](https://github.com/EvolvingLMMs-Lab/lmms-eval) and [jiwer's repository](https://github.com/jitsi/jiwer). | | [lmms-eval](/tools/evolvinglmms-lab-lmms-eval.md) | [jiwer](/tools/jitsi-jiwer.md) | | --- | --- | --- | | Tagline | One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks | Evaluate speech-to-text systems with word error rate (WER) measures | | Stars | 4,368 | 917 | | Forks | 639 | 107 | | Open issues | 49 | 19 | | 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. | A Python library for assessing speech-to-text systems with word error rate measures. | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lmms-eval](/tools/evolvinglmms-lab-lmms-eval.md) | [jiwer](/tools/jitsi-jiwer.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 11d | 105d | | Open issues (now) | 49 | 19 | | 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/jitsi-jiwer/trust.md) | ## Shared compatibility - **Python**: [lmms-eval](/tools/evolvinglmms-lab-lmms-eval.md) - Python runtime; [jiwer](/tools/jitsi-jiwer.md) - Python runtime ## 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: jiwer - **Adopt for:** A Python library for assessing speech-to-text systems with word error rate measures. ## Choose when ### Choose lmms-eval if… - License: lmms-eval is Other, jiwer is Apache-2.0. - 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. ### Choose jiwer if… - License: jiwer is Apache-2.0, lmms-eval is Other. - Tags unique to jiwer: automatic-speech-recognition, evaluation-metrics, python3, speech-to-text. - For accurate speech recognition evaluation needing direct WER calculations ## 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 jiwer - Avoid if your project requires only basic, non-word level performance indicators - Not suitable for evaluating text-to-speech systems, as it focuses exclusively on speech-to-text output assessment ## Common questions ### What is the difference between lmms-eval and jiwer? lmms-eval: One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks. jiwer: Evaluate speech-to-text systems with word error rate (WER) measures. See the comparison table for live GitHub stats and shared categories. ### When should I choose lmms-eval over jiwer? Choose lmms-eval over jiwer when License: lmms-eval is Other, jiwer is Apache-2.0; 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. ### When should I choose jiwer over lmms-eval? Choose jiwer over lmms-eval when License: jiwer is Apache-2.0, lmms-eval is Other; Tags unique to jiwer: automatic-speech-recognition, evaluation-metrics, python3, speech-to-text; For accurate speech recognition evaluation needing direct WER calculations. ### 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 jiwer? Avoid if your project requires only basic, non-word level performance indicators Not suitable for evaluating text-to-speech systems, as it focuses exclusively on speech-to-text output assessment ### Is lmms-eval or jiwer more popular on GitHub? lmms-eval has more GitHub stars (4,368 vs 917). Stars measure visibility, not whether either tool fits your constraints. ### Are lmms-eval and jiwer open source? Yes - both are open-source projects on GitHub (lmms-eval: Other, jiwer: Apache-2.0). ### Where can I find alternatives to lmms-eval or jiwer? GraphCanon lists graph-backed alternatives at [lmms-eval alternatives](/tools/evolvinglmms-lab-lmms-eval/alternatives) and [jiwer alternatives](/tools/jitsi-jiwer/alternatives) ([lmms-eval markdown twin](/tools/evolvinglmms-lab-lmms-eval/alternatives.md), [jiwer markdown twin](/tools/jitsi-jiwer/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-jitsi-jiwer.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, lmms-eval or jiwer? lmms-eval: Active. jiwer: Slowing. 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 jiwer? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lmms-eval trust report](/tools/evolvinglmms-lab-lmms-eval/trust); [jiwer trust report](/tools/jitsi-jiwer/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/_