--- title: "jiwer vs qa_metrics" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jitsi-jiwer-vs-zli12321-qa-metrics" tools: ["jitsi-jiwer", "zli12321-qa-metrics"] --- # jiwer vs qa_metrics *GraphCanon updated Aug 8, 2026* ## Verdict Pick jiwer if a Python library for assessing speech-to-text systems with word error rate measures; pick qa_metrics if qa_metrics is a Python library for evaluating LLMs using standardized QA and semantic metrics, including support for Black-box and open-source models along with APIs from OpenAI and Anthropic. [jiwer](https://github.com/jitsi/jiwer) reports 917 GitHub stars, 107 forks, and 19 open issues, last pushed Apr 16, 2026. [qa_metrics](https://github.com/zli12321/qa_metrics) has 62 stars, 6 forks, and 0 open issues, last pushed Jul 18, 2025. Figures are from public GitHub metadata via [jiwer's repository](https://github.com/jitsi/jiwer) and [qa_metrics's repository](https://github.com/zli12321/qa_metrics). | | [jiwer](/tools/jitsi-jiwer.md) | [qa_metrics](/tools/zli12321-qa-metrics.md) | | --- | --- | --- | | Tagline | Evaluate speech-to-text systems with word error rate (WER) measures | A Python package for basic QA evaluations of large language models. | | Stars | 917 | 62 | | Forks | 107 | 6 | | Open issues | 19 | 0 | | Language | Python | Python | | Adopt for | A Python library for assessing speech-to-text systems with word error rate measures. | qa_metrics is a Python library for evaluating LLMs using standardized QA and semantic metrics, including support for Black-box and open-source models along with APIs from OpenAI and Anthropic. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License allows for free use and distribution with attribution required by retaining the copyright notice and license text in any redistribution. | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [jiwer](/tools/jitsi-jiwer.md) | [qa_metrics](/tools/zli12321-qa-metrics.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 105d | 385d | | Open issues (now) | 19 | 0 | | Owner type | Organization | User | | Full report | [trust report](/tools/jitsi-jiwer/trust.md) | [trust report](/tools/zli12321-qa-metrics/trust.md) | ## Shared compatibility - **Python**: [jiwer](/tools/jitsi-jiwer.md) - Python runtime; [qa_metrics](/tools/zli12321-qa-metrics.md) - Python runtime ## Decision facts: jiwer - **Adopt for:** A Python library for assessing speech-to-text systems with word error rate measures. ## Decision facts: qa_metrics - **Adopt for:** qa_metrics is a Python library for evaluating LLMs using standardized QA and semantic metrics, including support for Black-box and open-source models along with APIs from OpenAI and Anthropic. - **License detail:** MIT License allows for free use and distribution with attribution required by retaining the copyright notice and license text in any redistribution. ## Choose when ### Choose jiwer if… - License: jiwer is Apache-2.0, qa_metrics is MIT. - Tags unique to jiwer: automatic-speech-recognition, evaluation-metrics, python3, speech-to-text. - For accurate speech recognition evaluation needing direct WER calculations ### Choose qa_metrics if… - License: qa_metrics is MIT, jiwer is Apache-2.0. - Tags unique to qa_metrics: exact-matching, llm-evaluation, qa-automation-test. - When you need to evaluate the performance of large language models with built-in standardized metrics like exact match and F1 Score. ## 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 ## When NOT to use qa_metrics - Avoid if you seek advanced customization or fine-tuning options not present in qa_metrics for metric calculation methods beyond its provided set. - Not ideal when needing specific evaluation tools that are not Black-box or open-source models, as the package focuses on these types of evaluations primarily. ## Common questions ### What is the difference between jiwer and qa_metrics? jiwer: Evaluate speech-to-text systems with word error rate (WER) measures. qa_metrics: A Python package for basic QA evaluations of large language models.. See the comparison table for live GitHub stats and shared categories. ### When should I choose jiwer over qa_metrics? Choose jiwer over qa_metrics when License: jiwer is Apache-2.0, qa_metrics is MIT; 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 choose qa_metrics over jiwer? Choose qa_metrics over jiwer when License: qa_metrics is MIT, jiwer is Apache-2.0; Tags unique to qa_metrics: exact-matching, llm-evaluation, qa-automation-test; When you need to evaluate the performance of large language models with built-in standardized metrics like exact match and F1 Score. ### 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 ### When should I avoid qa_metrics? Avoid if you seek advanced customization or fine-tuning options not present in qa_metrics for metric calculation methods beyond its provided set. Not ideal when needing specific evaluation tools that are not Black-box or open-source models, as the package focuses on these types of evaluations primarily. ### Is jiwer or qa_metrics more popular on GitHub? jiwer has more GitHub stars (917 vs 62). Stars measure visibility, not whether either tool fits your constraints. ### Are jiwer and qa_metrics open source? Yes - both are open-source projects on GitHub (jiwer: Apache-2.0, qa_metrics: MIT). ### Where can I find alternatives to jiwer or qa_metrics? GraphCanon lists graph-backed alternatives at [jiwer alternatives](/tools/jitsi-jiwer/alternatives) and [qa_metrics alternatives](/tools/zli12321-qa-metrics/alternatives) ([jiwer markdown twin](/tools/jitsi-jiwer/alternatives.md), [qa_metrics markdown twin](/tools/zli12321-qa-metrics/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/jitsi-jiwer-vs-zli12321-qa-metrics.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, jiwer or qa_metrics? jiwer: Slowing. qa_metrics: 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 jiwer and qa_metrics? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jiwer trust report](/tools/jitsi-jiwer/trust); [qa_metrics trust report](/tools/zli12321-qa-metrics/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jitsi-jiwer`](/api/graphcanon/graph?tool=jitsi-jiwer) - 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/_