--- title: "olmo-eval vs HLCE" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/allenai-olmo-eval-vs-humanity-s-last-code-exam-hlce" tools: ["allenai-olmo-eval", "humanity-s-last-code-exam-hlce"] --- # olmo-eval vs HLCE *GraphCanon updated Aug 8, 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 HLCE if hLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes. [olmo-eval](https://github.com/allenai/olmo-eval) reports 65 GitHub stars, 14 forks, and 38 open issues, last pushed Aug 6, 2026. [HLCE](https://humanity-s-last-code-exam.github.io/website/) has 96 stars, 8 forks, and 1 open issues, last pushed Aug 21, 2025. Figures are from public GitHub metadata via [olmo-eval's repository](https://github.com/allenai/olmo-eval) and [HLCE's repository](https://github.com/Humanity-s-Last-Code-Exam/HLCE). | | [olmo-eval](/tools/allenai-olmo-eval.md) | [HLCE](/tools/humanity-s-last-code-exam-hlce.md) | | --- | --- | --- | | Tagline | Olmo Evaluation Framework for LLM Tasks | Source Evaluation scripts for Humanity's Last Code Exam | | Stars | 65 | 96 | | Forks | 14 | 8 | | Open issues | 38 | 1 | | 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. | HLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | Evaluation & Observability | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [olmo-eval](/tools/allenai-olmo-eval.md) | [HLCE](/tools/humanity-s-last-code-exam-hlce.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 352d | | Open issues (now) | 38 | 1 | | Full report | [trust report](/tools/allenai-olmo-eval/trust.md) | [trust report](/tools/humanity-s-last-code-exam-hlce/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: HLCE - **Adopt for:** HLCE offers evaluation scripts to assess code generation using LLMs, specifically for research purposes. ## Choose when ### Choose olmo-eval if… - Tags unique to olmo-eval: datasets, evaluation, llm, python. - 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 HLCE if… - Tags unique to HLCE: benchmark, codegen, codellm, llm-evaluation. - Also covers LLM Frameworks. - When you are researching the capabilities of language models in generating code and need benchmarking tools that focus on this aspect exclusively. ## 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 HLCE - If you require tools that cater to general-purpose evaluation beyond the scope of LLM code generation in a research context. - When proprietary or non-research licenses are necessary, since HLCE does not detail its licensing beyond being for research purposes only. ## Common questions ### What is the difference between olmo-eval and HLCE? olmo-eval: Olmo Evaluation Framework for LLM Tasks. HLCE: Source Evaluation scripts for Humanity's Last Code Exam. See the comparison table for live GitHub stats and shared categories. ### When should I choose olmo-eval over HLCE? Choose olmo-eval over HLCE when Tags unique to olmo-eval: datasets, evaluation, llm, python; 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 HLCE over olmo-eval? Choose HLCE over olmo-eval when Tags unique to HLCE: benchmark, codegen, codellm, llm-evaluation; Also covers LLM Frameworks; When you are researching the capabilities of language models in generating code and need benchmarking tools that focus on this aspect exclusively. ### 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 HLCE? If you require tools that cater to general-purpose evaluation beyond the scope of LLM code generation in a research context. When proprietary or non-research licenses are necessary, since HLCE does not detail its licensing beyond being for research purposes only. ### Is olmo-eval or HLCE more popular on GitHub? HLCE has more GitHub stars (96 vs 65). Stars measure visibility, not whether either tool fits your constraints. ### Are olmo-eval and HLCE open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to olmo-eval or HLCE? GraphCanon lists graph-backed alternatives at [olmo-eval alternatives](/tools/allenai-olmo-eval/alternatives) and [HLCE alternatives](/tools/humanity-s-last-code-exam-hlce/alternatives) ([olmo-eval markdown twin](/tools/allenai-olmo-eval/alternatives.md), [HLCE markdown twin](/tools/humanity-s-last-code-exam-hlce/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-humanity-s-last-code-exam-hlce.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, olmo-eval or HLCE? olmo-eval: Very active. HLCE: Slowing. 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 HLCE? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [olmo-eval trust report](/tools/allenai-olmo-eval/trust); [HLCE trust report](/tools/humanity-s-last-code-exam-hlce/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/_