Comparison
lm-evaluation-harness vs jiwer
Verdict
Pick lm-evaluation-harness if lm-evaluation-harness is a Python framework for evaluating language models in various parallelism modes using different checkpoint formats, compatible with the Megatron-LM backend; pick jiwer if a Python library for assessing speech-to-text systems with word error rate measures.
Markdown twin · lm-evaluation-harness alternatives · jiwer alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | lm-evaluation-harness | jiwer |
|---|---|---|
| Maintenance | Very active (5d since push) As of Sep 6, 2026 · github_public_v1 | Active (16d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 6, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- lm-evaluation-harness
- A framework for few-shot evaluation of language models.
- jiwer
- Evaluate speech-to-text systems with word error rate (WER) measures
Stars
- lm-evaluation-harness
- 14k
- jiwer
- 926
Forks
- lm-evaluation-harness
- 3.5k
- jiwer
- 108
Open issues
- lm-evaluation-harness
- 945
- jiwer
- 21
Language
- lm-evaluation-harness
- Python
- jiwer
- Python
Adopt for
- lm-evaluation-harness
- lm-evaluation-harness is a Python framework for evaluating language models in various parallelism modes using different checkpoint formats, compatible with the Megatron-LM backend.
- jiwer
- A Python library for assessing speech-to-text systems with word error rate measures.
Persona
- lm-evaluation-harness
- -
- jiwer
- -
Runtime
- lm-evaluation-harness
- -
- jiwer
- -
License
- lm-evaluation-harness
- MIT
- jiwer
- Apache-2.0
Last pushed
- lm-evaluation-harness
- Sep 1, 2026
- jiwer
- Sep 3, 2026
Categories
- lm-evaluation-harness
- Evaluation & Observability
- jiwer
- Evaluation & Observability
Trust and health
Maintenance
- lm-evaluation-harness
- Very active (96%)
- jiwer
- Active (82%)
Days since push
- lm-evaluation-harness
- 5d
- jiwer
- 16d
Open issues (now)
- lm-evaluation-harness
- 945
- jiwer
- 21
Stars delta
- lm-evaluation-harness
- +346 (30d)
- jiwer
- +9 (30d)
Open issues delta
- lm-evaluation-harness
- +7 (30d)
- jiwer
- +2 (30d)
Full report
- lm-evaluation-harness
- Trust report
- jiwer
- Trust report
Shared compatibility
- Python · lm-evaluation-harness: Python runtime · jiwer: Python runtime
Choose lm-evaluation-harness if…
- License: lm-evaluation-harness is MIT, jiwer is Apache-2.0.
- Tags unique to lm-evaluation-harness: data-parallelism, evaluation-framework, expert-parallelism, language-model.
- - When you need to evaluate large language models across multiple GPUs in data or tensor parallel configurations.
When NOT to use lm-evaluation-harness
- - If your evaluation setup requires pipeline parallelism not currently supported by this framework.
Choose jiwer if…
- License: jiwer is Apache-2.0, lm-evaluation-harness 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 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 (EleutherAI/lm-evaluation-harness) · observed Sep 20, 2026
- GitHub forks (EleutherAI/lm-evaluation-harness) · observed Sep 20, 2026
- Last push (EleutherAI/lm-evaluation-harness) · observed Sep 1, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (jitsi/jiwer) · observed Sep 20, 2026
- GitHub forks (jitsi/jiwer) · observed Sep 20, 2026
- Last push (jitsi/jiwer) · observed Sep 3, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: lm-evaluation-harness 14k · jiwer 926 (synced Sep 20, 2026).
Common questions
- What is the difference between lm-evaluation-harness and jiwer?
- lm-evaluation-harness: A framework for few-shot evaluation of language models.. 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 lm-evaluation-harness over jiwer?
- Choose lm-evaluation-harness over jiwer when License: lm-evaluation-harness is MIT, jiwer is Apache-2.0; Tags unique to lm-evaluation-harness: data-parallelism, evaluation-framework, expert-parallelism, language-model; - When you need to evaluate large language models across multiple GPUs in data or tensor parallel configurations.
- When should I choose jiwer over lm-evaluation-harness?
- Choose jiwer over lm-evaluation-harness when License: jiwer is Apache-2.0, lm-evaluation-harness 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 avoid lm-evaluation-harness?
- - If your evaluation setup requires pipeline parallelism not currently supported by this framework.
- 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 lm-evaluation-harness or jiwer more popular on GitHub?
- lm-evaluation-harness has more GitHub stars (13,906 vs 926). Stars measure visibility, not whether either tool fits your constraints.
- Are lm-evaluation-harness and jiwer open source?
- Yes - both are open-source projects on GitHub (lm-evaluation-harness: MIT, jiwer: Apache-2.0).
- Where can I find alternatives to lm-evaluation-harness or jiwer?
- GraphCanon lists graph-backed alternatives at lm-evaluation-harness alternatives and jiwer alternatives (lm-evaluation-harness 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, lm-evaluation-harness or jiwer?
- lm-evaluation-harness: Very active. jiwer: Active. 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 lm-evaluation-harness and jiwer?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lm-evaluation-harness trust report; jiwer trust report.