Comparison
lm-evaluation-harness vs just-eval
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 just-eval if just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs.
Markdown twin · lm-evaluation-harness alternatives · just-eval alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | lm-evaluation-harness | just-eval |
|---|---|---|
| Maintenance | Active (24d since push) As of 2w · github_public_v1 | Dormant (921d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · 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
- lm-evaluation-harness
- A framework for few-shot evaluation of language models.
- just-eval
- A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.
Stars
- lm-evaluation-harness
- 14k
- just-eval
- 90
Forks
- lm-evaluation-harness
- 3.5k
- just-eval
- 7
Open issues
- lm-evaluation-harness
- 938
- just-eval
- 2
Language
- lm-evaluation-harness
- Python
- just-eval
- 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.
- just-eval
- just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs.
Persona
- lm-evaluation-harness
- -
- just-eval
- -
Runtime
- lm-evaluation-harness
- -
- just-eval
- -
License
- lm-evaluation-harness
- MIT
- just-eval
- MIT
Last pushed
- lm-evaluation-harness
- Jul 13, 2026
- just-eval
- Jan 29, 2024
Categories
- lm-evaluation-harness
- Evaluation & Observability
- just-eval
- Evaluation & Observability
Trust and health
Maintenance
- lm-evaluation-harness
- Active (82%)
- just-eval
- Dormant (18%)
Days since push
- lm-evaluation-harness
- 24d
- just-eval
- 921d
Open issues (now)
- lm-evaluation-harness
- 938
- just-eval
- 2
Full report
- lm-evaluation-harness
- Trust report
- just-eval
- Trust report
Shared compatibility
- Python · lm-evaluation-harness: Python runtime · just-eval: Python runtime
Choose lm-evaluation-harness if…
- 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.
- More GitHub stars (14k vs 90) - visibility, not fit.
When NOT to use lm-evaluation-harness
- - If your evaluation setup requires pipeline parallelism not currently supported by this framework.
Choose just-eval if…
- Tags unique to just-eval: evaluation, gpt4, llm, llm-eval.
- When your team requires an in-depth yet interpretable evaluation of LLM performance, focusing on various aspects.
- Leaner open-issue backlog (2).
When NOT to use just-eval
- Avoid if direct integration with competing API services is needed as just-eval focuses solely on OpenAI API key configuration.
- Not suitable when your project demands a custom evaluation framework that extends beyond simple GPT-based assessments.
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 Aug 7, 2026
- GitHub forks (EleutherAI/lm-evaluation-harness) · observed Aug 7, 2026
- Last push (EleutherAI/lm-evaluation-harness) · observed Jul 13, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Re-Align/just-eval) · observed Aug 8, 2026
- GitHub forks (Re-Align/just-eval) · observed Aug 8, 2026
- Last push (Re-Align/just-eval) · observed Jan 29, 2024
- License file (MIT) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: lm-evaluation-harness 14k · just-eval 90 (synced Aug 7, 2026).
Common questions
- What is the difference between lm-evaluation-harness and just-eval?
- lm-evaluation-harness: A framework for few-shot evaluation of language models.. just-eval: A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.. See the comparison table for live GitHub stats and shared categories.
- When should I choose lm-evaluation-harness over just-eval?
- Choose lm-evaluation-harness over just-eval when 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; More GitHub stars (14k vs 90) - visibility, not fit.
- When should I choose just-eval over lm-evaluation-harness?
- Choose just-eval over lm-evaluation-harness when Tags unique to just-eval: evaluation, gpt4, llm, llm-eval; When your team requires an in-depth yet interpretable evaluation of LLM performance, focusing on various aspects; Leaner open-issue backlog (2).
- When should I avoid lm-evaluation-harness?
- - If your evaluation setup requires pipeline parallelism not currently supported by this framework.
- When should I avoid just-eval?
- Avoid if direct integration with competing API services is needed as just-eval focuses solely on OpenAI API key configuration. Not suitable when your project demands a custom evaluation framework that extends beyond simple GPT-based assessments.
- Is lm-evaluation-harness or just-eval more popular on GitHub?
- lm-evaluation-harness has more GitHub stars (13,560 vs 90). Stars measure visibility, not whether either tool fits your constraints.
- Are lm-evaluation-harness and just-eval open source?
- Yes - both are open-source projects on GitHub (lm-evaluation-harness: MIT, just-eval: MIT).
- Where can I find alternatives to lm-evaluation-harness or just-eval?
- GraphCanon lists graph-backed alternatives at lm-evaluation-harness alternatives and just-eval alternatives (lm-evaluation-harness markdown twin, just-eval 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 just-eval?
- lm-evaluation-harness: Active. just-eval: 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 lm-evaluation-harness and just-eval?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lm-evaluation-harness trust report; just-eval trust report.