Comparison
athina-evals vs lm-evaluation-harness
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 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.
Markdown twin · athina-evals alternatives · lm-evaluation-harness alternatives
GraphCanon updated Oct 12, 2026
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Trust & integrity
| Signal | athina-evals | lm-evaluation-harness |
|---|---|---|
| Maintenance | Dormant (470d since push) As of Sep 20, 2026 · github_public_v1 | Active (27d since push) As of Oct 12, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Oct 12, 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
- athina-evals
- Python SDK for evaluating LLM generated responses
- lm-evaluation-harness
- A framework for few-shot evaluation of language models.
Stars
- athina-evals
- 301
- lm-evaluation-harness
- 14k
Forks
- athina-evals
- 22
- lm-evaluation-harness
- 3.7k
Open issues
- athina-evals
- 4
- lm-evaluation-harness
- 1.2k
Language
- athina-evals
- Python
- lm-evaluation-harness
- 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.
- 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.
Persona
- athina-evals
- -
- lm-evaluation-harness
- -
Runtime
- athina-evals
- -
- lm-evaluation-harness
- -
License
- athina-evals
- -
- lm-evaluation-harness
- MIT
Last pushed
- athina-evals
- Jun 6, 2025
- lm-evaluation-harness
- Sep 14, 2026
Categories
- athina-evals
- Evaluation & Observability
- lm-evaluation-harness
- Evaluation & Observability
Trust and health
Maintenance
- athina-evals
- Dormant (18%)
- lm-evaluation-harness
- Active (82%)
Days since push
- athina-evals
- 470d
- lm-evaluation-harness
- 27d
Open issues (now)
- athina-evals
- 4
- lm-evaluation-harness
- 1.2k
Stars delta
- athina-evals
- 0 (30d)
- lm-evaluation-harness
- +286 (30d)
Open issues delta
- athina-evals
- +1 (30d)
- lm-evaluation-harness
- +213 (30d)
Full report
- athina-evals
- Trust report
- lm-evaluation-harness
- Trust report
Choose athina-evals if…
- Tags unique to athina-evals: evaluation, evaluation-metrics, llm-eval, llm-evaluation.
- When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics
- Leaner open-issue backlog (4).
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 lm-evaluation-harness if…
- Tags unique to lm-evaluation-harness: data-parallelism, expert-parallelism, language-model, lm-evaluation-harness.
- - When you need to evaluate large language models across multiple GPUs in data or tensor parallel configurations.
- More GitHub stars (14k vs 301) - visibility, not fit.
When NOT to use lm-evaluation-harness
- - If your evaluation setup requires pipeline parallelism not currently supported by this framework.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (athina-ai/athina-evals) · observed Sep 20, 2026
- GitHub forks (athina-ai/athina-evals) · observed Sep 20, 2026
- Last push (athina-ai/athina-evals) · observed Jun 6, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (EleutherAI/lm-evaluation-harness) · observed Oct 12, 2026
- GitHub forks (EleutherAI/lm-evaluation-harness) · observed Oct 12, 2026
- Last push (EleutherAI/lm-evaluation-harness) · observed Sep 14, 2026
- License file (MIT) · observed Oct 12, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: athina-evals 301 · lm-evaluation-harness 14k (synced Sep 20, 2026).
Common questions
- What is the difference between athina-evals and lm-evaluation-harness?
- athina-evals: Python SDK for evaluating LLM generated responses. lm-evaluation-harness: A framework for few-shot evaluation of language models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose athina-evals over lm-evaluation-harness?
- Choose athina-evals over lm-evaluation-harness when Tags unique to athina-evals: evaluation, evaluation-metrics, llm-eval, llm-evaluation; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; Leaner open-issue backlog (4).
- When should I choose lm-evaluation-harness over athina-evals?
- Choose lm-evaluation-harness over athina-evals when Tags unique to lm-evaluation-harness: data-parallelism, expert-parallelism, language-model, lm-evaluation-harness; - When you need to evaluate large language models across multiple GPUs in data or tensor parallel configurations; More GitHub stars (14k 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 lm-evaluation-harness?
- - If your evaluation setup requires pipeline parallelism not currently supported by this framework.
- Is athina-evals or lm-evaluation-harness more popular on GitHub?
- lm-evaluation-harness has more GitHub stars (14,192 vs 301). Stars measure visibility, not whether either tool fits your constraints.
- Are athina-evals and lm-evaluation-harness open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to athina-evals or lm-evaluation-harness?
- GraphCanon lists graph-backed alternatives at athina-evals alternatives and lm-evaluation-harness alternatives (athina-evals markdown twin, lm-evaluation-harness 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 lm-evaluation-harness?
- athina-evals: Dormant. lm-evaluation-harness: 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 athina-evals and lm-evaluation-harness?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; lm-evaluation-harness trust report.