--- title: "olmo-eval vs athina-evals" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/allenai-olmo-eval-vs-athina-ai-athina-evals" tools: ["allenai-olmo-eval", "athina-ai-athina-evals"] --- # olmo-eval vs athina-evals *GraphCanon updated Aug 7, 2026* ## Verdict Pick olmo-eval if olmo-eval is an evaluation framework for large language models, using uv for reproducible builds. It focuses on modular task implementations and integrates with various datasets via defined tasks; 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. [olmo-eval](https://github.com/allenai/olmo-eval) reports 65 GitHub stars, 14 forks, and 38 open issues, last pushed Aug 6, 2026. [athina-evals](https://docs.athina.ai) has 301 stars, 22 forks, and 3 open issues, last pushed Jun 6, 2025. Figures are from public GitHub metadata via [olmo-eval's repository](https://github.com/allenai/olmo-eval) and [athina-evals's repository](https://github.com/athina-ai/athina-evals). | | [olmo-eval](/tools/allenai-olmo-eval.md) | [athina-evals](/tools/athina-ai-athina-evals.md) | | --- | --- | --- | | Tagline | Olmo Evaluation Framework for LLM Tasks | Python SDK for evaluating LLM generated responses | | Stars | 65 | 301 | | Forks | 14 | 22 | | Open issues | 38 | 3 | | Language | Python | Python | | Adopt for | Olmo-eval is an evaluation framework for large language models, using uv for reproducible builds. It focuses on modular task implementations and integrates with various datasets via defined tasks. | athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [olmo-eval](/tools/allenai-olmo-eval.md) | [athina-evals](/tools/athina-ai-athina-evals.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 417d | | Open issues (now) | 38 | 3 | | Full report | [trust report](/tools/allenai-olmo-eval/trust.md) | [trust report](/tools/athina-ai-athina-evals/trust.md) | ## Decision facts: olmo-eval - **Adopt for:** Olmo-eval is an evaluation framework for large language models, using uv for reproducible builds. It focuses on modular task implementations and integrates with various datasets via defined tasks. ## 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. ## Choose when ### Choose olmo-eval if… - Tags unique to olmo-eval: datasets, llm, python, tasks. - olmo-eval ships Docker support for self-hosted deployment. - When you need a flexible evaluation setup that works with a variety of LLMs and datasets. ### Choose athina-evals if… - Tags unique to athina-evals: evaluation-framework, evaluation-metrics, llm-eval, llm-evaluation. - When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics - More GitHub stars (301 vs 65) - visibility, not fit. ## When NOT to use olmo-eval - When you require a simpler setup that doesn't need the reproducibility constraints of uv builds. - If your project already has an established evaluation toolchain and does not benefit from introducing a new framework for manageability reasons. ## 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 ## Common questions ### What is the difference between olmo-eval and athina-evals? olmo-eval: Olmo Evaluation Framework for LLM Tasks. athina-evals: Python SDK for evaluating LLM generated responses. See the comparison table for live GitHub stats and shared categories. ### When should I choose olmo-eval over athina-evals? Choose olmo-eval over athina-evals when Tags unique to olmo-eval: datasets, llm, python, tasks; olmo-eval ships Docker support for self-hosted deployment; When you need a flexible evaluation setup that works with a variety of LLMs and datasets. ### When should I choose athina-evals over olmo-eval? Choose athina-evals over olmo-eval when Tags unique to athina-evals: evaluation-framework, evaluation-metrics, llm-eval, llm-evaluation; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; More GitHub stars (301 vs 65) - visibility, not fit. ### When should I avoid olmo-eval? When you require a simpler setup that doesn't need the reproducibility constraints of uv builds. If your project already has an established evaluation toolchain and does not benefit from introducing a new framework for manageability reasons. ### 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 ### Is olmo-eval or athina-evals more popular on GitHub? athina-evals has more GitHub stars (301 vs 65). Stars measure visibility, not whether either tool fits your constraints. ### Are olmo-eval and athina-evals open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to olmo-eval or athina-evals? GraphCanon lists graph-backed alternatives at [olmo-eval alternatives](/tools/allenai-olmo-eval/alternatives) and [athina-evals alternatives](/tools/athina-ai-athina-evals/alternatives) ([olmo-eval markdown twin](/tools/allenai-olmo-eval/alternatives.md), [athina-evals markdown twin](/tools/athina-ai-athina-evals/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/allenai-olmo-eval-vs-athina-ai-athina-evals.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, olmo-eval or athina-evals? olmo-eval: Very active. athina-evals: 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 olmo-eval and athina-evals? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [olmo-eval trust report](/tools/allenai-olmo-eval/trust); [athina-evals trust report](/tools/athina-ai-athina-evals/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=allenai-olmo-eval`](/api/graphcanon/graph?tool=allenai-olmo-eval) - 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/_