--- title: "athina-evals vs jiwer" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/athina-ai-athina-evals-vs-jitsi-jiwer" tools: ["athina-ai-athina-evals", "jitsi-jiwer"] --- # athina-evals vs jiwer *GraphCanon updated Jul 31, 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 jiwer if a Python library for assessing speech-to-text systems with word error rate measures. [athina-evals](https://docs.athina.ai) reports 301 GitHub stars, 22 forks, and 3 open issues, last pushed Jun 6, 2025. [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 [athina-evals's repository](https://github.com/athina-ai/athina-evals) and [jiwer's repository](https://github.com/jitsi/jiwer). | | [athina-evals](/tools/athina-ai-athina-evals.md) | [jiwer](/tools/jitsi-jiwer.md) | | --- | --- | --- | | Tagline | Python SDK for evaluating LLM generated responses | Evaluate speech-to-text systems with word error rate (WER) measures | | Stars | 301 | 917 | | Forks | 22 | 107 | | Open issues | 3 | 19 | | 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. | A Python library for assessing speech-to-text systems with word error rate measures. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | 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) | [jiwer](/tools/jitsi-jiwer.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 417d | 105d | | Open issues (now) | 3 | 19 | | Full report | [trust report](/tools/athina-ai-athina-evals/trust.md) | [trust report](/tools/jitsi-jiwer/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: jiwer - **Adopt for:** A Python library for assessing speech-to-text systems with word error rate measures. ## Choose when ### Choose athina-evals if… - Tags unique to athina-evals: evaluation, evaluation-framework, llm-eval, llm-evaluation. - When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics - Leaner open-issue backlog (3). ### Choose jiwer if… - Tags unique to jiwer: automatic-speech-recognition, python3, speech-to-text, wer. - For accurate speech recognition evaluation needing direct WER calculations - More GitHub stars (917 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 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 athina-evals and jiwer? athina-evals: Python SDK for evaluating LLM generated responses. 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 athina-evals over jiwer? Choose athina-evals over jiwer when Tags unique to athina-evals: evaluation, evaluation-framework, llm-eval, llm-evaluation; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; Leaner open-issue backlog (3). ### When should I choose jiwer over athina-evals? Choose jiwer over athina-evals when Tags unique to jiwer: automatic-speech-recognition, python3, speech-to-text, wer; For accurate speech recognition evaluation needing direct WER calculations; More GitHub stars (917 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 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 athina-evals or jiwer more popular on GitHub? jiwer has more GitHub stars (917 vs 301). Stars measure visibility, not whether either tool fits your constraints. ### Are athina-evals and jiwer open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to athina-evals or jiwer? GraphCanon lists graph-backed alternatives at [athina-evals alternatives](/tools/athina-ai-athina-evals/alternatives) and [jiwer alternatives](/tools/jitsi-jiwer/alternatives) ([athina-evals markdown twin](/tools/athina-ai-athina-evals/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/athina-ai-athina-evals-vs-jitsi-jiwer.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, athina-evals or jiwer? athina-evals: Dormant. 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 athina-evals and jiwer? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [athina-evals trust report](/tools/athina-ai-athina-evals/trust); [jiwer trust report](/tools/jitsi-jiwer/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/_