Home/Compare/athina-evals vs jiwer

Comparison

athina-evals vs jiwer

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.

Markdown twin · athina-evals alternatives · jiwer alternatives

GraphCanon updated 3w

athina-evals logo

athina-evals

athina-ai/athina-evals

301pushed Jun 6, 2025
vs
jiwer logo

jiwer

jitsi/jiwer

917pushed Apr 16, 2026

Trust & integrity

Signalathina-evalsjiwer
Maintenance
Dormant (417d since push)
As of 3w · github_public_v1
Slowing (105d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

athina-evals
Python SDK for evaluating LLM generated responses
jiwer
Evaluate speech-to-text systems with word error rate (WER) measures

Stars

athina-evals
301
jiwer
917

Forks

athina-evals
22
jiwer
107

Open issues

athina-evals
3
jiwer
19

Language

athina-evals
Python
jiwer
Python

Adopt for

athina-evals
athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks.
jiwer
A Python library for assessing speech-to-text systems with word error rate measures.

Persona

athina-evals
-
jiwer
-

Runtime

athina-evals
-
jiwer
-

License

athina-evals
-
jiwer
Apache-2.0

Last pushed

athina-evals
Jun 6, 2025
jiwer
Apr 16, 2026

Categories

athina-evals
Evaluation & Observability
jiwer
Evaluation & Observability

Trust and health

Maintenance

athina-evals
Dormant (18%)
jiwer
Slowing (36%)

Days since push

athina-evals
417d
jiwer
105d

Open issues (now)

athina-evals
3
jiwer
19

Full report

athina-evals
Trust report

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).

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

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 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

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: athina-evals 301 · jiwer 917 (synced Jul 28, 2026).

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 and jiwer alternatives (athina-evals markdown twin, jiwer markdown twin), 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 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; jiwer trust report.

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