--- title: "athina-evals vs lm-evaluation-harness" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/athina-ai-athina-evals-vs-eleutherai-lm-evaluation-harness" tools: ["athina-ai-athina-evals", "eleutherai-lm-evaluation-harness"] --- # athina-evals vs lm-evaluation-harness *GraphCanon updated Aug 7, 2026* ## 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. [athina-evals](https://docs.athina.ai) reports 301 GitHub stars, 22 forks, and 3 open issues, last pushed Jun 6, 2025. [lm-evaluation-harness](https://www.eleuther.ai) has 14k stars, 3.5k forks, and 938 open issues, last pushed Jul 13, 2026. Figures are from public GitHub metadata via [athina-evals's repository](https://github.com/athina-ai/athina-evals) and [lm-evaluation-harness's repository](https://github.com/EleutherAI/lm-evaluation-harness). | | [athina-evals](/tools/athina-ai-athina-evals.md) | [lm-evaluation-harness](/tools/eleutherai-lm-evaluation-harness.md) | | --- | --- | --- | | Tagline | Python SDK for evaluating LLM generated responses | A framework for few-shot evaluation of language models. | | Stars | 301 | 13,560 | | Forks | 22 | 3,467 | | Open issues | 3 | 938 | | Language | Python | Python | | Adopt for | 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 is a Python framework for evaluating language models in various parallelism modes using different checkpoint formats, compatible with the Megatron-LM backend. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [athina-evals](/tools/athina-ai-athina-evals.md) | [lm-evaluation-harness](/tools/eleutherai-lm-evaluation-harness.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 417d | 24d | | Open issues (now) | 3 | 938 | | Full report | [trust report](/tools/athina-ai-athina-evals/trust.md) | [trust report](/tools/eleutherai-lm-evaluation-harness/trust.md) | ## Decision facts: athina-evals - **Adopt for:** athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks. ## Decision facts: lm-evaluation-harness - **Adopt for:** 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. ## Choose when ### 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 (3). ### 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 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 NOT to use lm-evaluation-harness - - If your evaluation setup requires pipeline parallelism not currently supported by this framework. ## 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 (3). ### 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 (13,560 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](/tools/athina-ai-athina-evals/alternatives) and [lm-evaluation-harness alternatives](/tools/eleutherai-lm-evaluation-harness/alternatives) ([athina-evals markdown twin](/tools/athina-ai-athina-evals/alternatives.md), [lm-evaluation-harness markdown twin](/tools/eleutherai-lm-evaluation-harness/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/athina-ai-athina-evals-vs-eleutherai-lm-evaluation-harness.md) 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](/tools/athina-ai-athina-evals/trust); [lm-evaluation-harness trust report](/tools/eleutherai-lm-evaluation-harness/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=athina-ai-athina-evals`](/api/graphcanon/graph?tool=athina-ai-athina-evals) - 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/_