--- title: "deepeval vs jiwer" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/confident-ai-deepeval-vs-jitsi-jiwer" tools: ["confident-ai-deepeval", "jitsi-jiwer"] --- # deepeval vs jiwer *GraphCanon updated Jul 31, 2026* ## Verdict Pick deepeval if deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies; pick jiwer if a Python library for assessing speech-to-text systems with word error rate measures. [deepeval](https://deepeval.com) reports 17k GitHub stars, 1.7k forks, and 404 open issues, last pushed Jul 27, 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 [deepeval's repository](https://github.com/confident-ai/deepeval) and [jiwer's repository](https://github.com/jitsi/jiwer). | | [deepeval](/tools/confident-ai-deepeval.md) | [jiwer](/tools/jitsi-jiwer.md) | | --- | --- | --- | | Tagline | LLM Evaluation Framework. | Evaluate speech-to-text systems with word error rate (WER) measures | | Stars | 17,226 | 917 | | Forks | 1,736 | 107 | | Open issues | 404 | 19 | | Language | Python | Python | | Adopt for | Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies. | A Python library for assessing speech-to-text systems with word error rate measures. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 License | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [deepeval](/tools/confident-ai-deepeval.md) | [jiwer](/tools/jitsi-jiwer.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 1d | 105d | | Open issues (now) | 404 | 19 | | Full report | [trust report](/tools/confident-ai-deepeval/trust.md) | [trust report](/tools/jitsi-jiwer/trust.md) | ## Shared compatibility - **Python**: [deepeval](/tools/confident-ai-deepeval.md) - Python runtime; [jiwer](/tools/jitsi-jiwer.md) - Python runtime ## Decision facts: deepeval - **Requirements:** Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities. - **Adopt for:** Deepeval is a Python-based framework designed for evaluating large language models with an array of metrics and evaluation methodologies. - **License detail:** Apache-2.0 License ## Decision facts: jiwer - **Adopt for:** A Python library for assessing speech-to-text systems with word error rate measures. ## Choose when ### Choose deepeval if… - Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities.. - Tags unique to deepeval: evaluation, llm-evaluation, metrics. - When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics. ### Choose jiwer if… - Tags unique to jiwer: automatic-speech-recognition, evaluation-metrics, python3, speech-to-text. - For accurate speech recognition evaluation needing direct WER calculations - Leaner open-issue backlog (19). ## When NOT to use deepeval - For small-scale applications that do not require the depth of metrics and evaluations offered by Deepeval, as it might be overkill. - In situations where there is a need for real-time performance monitoring, since Deepeval focuses more on post-development evaluation rather than continuous runtime analysis. ## 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 deepeval and jiwer? deepeval: LLM Evaluation Framework.. 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 deepeval over jiwer? Choose deepeval over jiwer when Requirements: Requires Python environment and familiarity with large language models to effectively utilize Deepeval's capabilities.; Tags unique to deepeval: evaluation, llm-evaluation, metrics; When developing large language models and you need a comprehensive evaluation framework to measure their performance across various metrics. ### When should I choose jiwer over deepeval? Choose jiwer over deepeval when Tags unique to jiwer: automatic-speech-recognition, evaluation-metrics, python3, speech-to-text; For accurate speech recognition evaluation needing direct WER calculations; Leaner open-issue backlog (19). ### When should I avoid deepeval? For small-scale applications that do not require the depth of metrics and evaluations offered by Deepeval, as it might be overkill. In situations where there is a need for real-time performance monitoring, since Deepeval focuses more on post-development evaluation rather than continuous runtime analysis. ### 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 deepeval or jiwer more popular on GitHub? deepeval has more GitHub stars (17,226 vs 917). Stars measure visibility, not whether either tool fits your constraints. ### Are deepeval and jiwer open source? Yes - both are open-source projects on GitHub (deepeval: Apache-2.0, jiwer: Apache-2.0). ### Where can I find alternatives to deepeval or jiwer? GraphCanon lists graph-backed alternatives at [deepeval alternatives](/tools/confident-ai-deepeval/alternatives) and [jiwer alternatives](/tools/jitsi-jiwer/alternatives) ([deepeval markdown twin](/tools/confident-ai-deepeval/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/confident-ai-deepeval-vs-jitsi-jiwer.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, deepeval or jiwer? deepeval: Very 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 deepeval and jiwer? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [deepeval trust report](/tools/confident-ai-deepeval/trust); [jiwer trust report](/tools/jitsi-jiwer/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=confident-ai-deepeval`](/api/graphcanon/graph?tool=confident-ai-deepeval) - 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/_