--- title: "olmo-eval vs hallucination-index" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/allenai-olmo-eval-vs-rungalileo-hallucination-index" tools: ["allenai-olmo-eval", "rungalileo-hallucination-index"] --- # olmo-eval vs hallucination-index *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 hallucination-index if hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types. [olmo-eval](https://github.com/allenai/olmo-eval) reports 65 GitHub stars, 14 forks, and 38 open issues, last pushed Aug 6, 2026. [hallucination-index](https://www.rungalileo.io/hallucinationindex) has 116 stars, 8 forks, and 1 open issues, last pushed Jul 28, 2025. Figures are from public GitHub metadata via [olmo-eval's repository](https://github.com/allenai/olmo-eval) and [hallucination-index's repository](https://github.com/rungalileo/hallucination-index). | | [olmo-eval](/tools/allenai-olmo-eval.md) | [hallucination-index](/tools/rungalileo-hallucination-index.md) | | --- | --- | --- | | Tagline | Olmo Evaluation Framework for LLM Tasks | Initiative to evaluate and rank popular LLMs based on hallucination propensity | | Stars | 65 | 116 | | Forks | 14 | 8 | | Open issues | 38 | 1 | | Language | 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. | Hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types. | | 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) | [hallucination-index](/tools/rungalileo-hallucination-index.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 365d | | Open issues (now) | 38 | 1 | | Full report | [trust report](/tools/allenai-olmo-eval/trust.md) | [trust report](/tools/rungalileo-hallucination-index/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: hallucination-index - **Adopt for:** Hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types. ## 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 hallucination-index if… - Tags unique to hallucination-index: hallucinations, large language models, llm-evaluation, openai. - Use when you need to ensure accuracy in short-context tasks, as it tests models like Chain-of-Note prompting techniques specifically for such scenarios. - More GitHub stars (116 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 hallucination-index - Avoid using Hallucination-Index when your application requires real-time evaluation of hallucinations, as it focuses on predefined tests rather than live model performance. - Do not rely solely on this index if your primary concern is the latest updates to LLM models; its data might not reflect recent improvements in models or the introduction of new ones. ## Common questions ### What is the difference between olmo-eval and hallucination-index? olmo-eval: Olmo Evaluation Framework for LLM Tasks. hallucination-index: Initiative to evaluate and rank popular LLMs based on hallucination propensity. See the comparison table for live GitHub stats and shared categories. ### When should I choose olmo-eval over hallucination-index? Choose olmo-eval over hallucination-index 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 hallucination-index over olmo-eval? Choose hallucination-index over olmo-eval when Tags unique to hallucination-index: hallucinations, large language models, llm-evaluation, openai; Use when you need to ensure accuracy in short-context tasks, as it tests models like Chain-of-Note prompting techniques specifically for such scenarios; More GitHub stars (116 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 hallucination-index? Avoid using Hallucination-Index when your application requires real-time evaluation of hallucinations, as it focuses on predefined tests rather than live model performance. Do not rely solely on this index if your primary concern is the latest updates to LLM models; its data might not reflect recent improvements in models or the introduction of new ones. ### Is olmo-eval or hallucination-index more popular on GitHub? hallucination-index has more GitHub stars (116 vs 65). Stars measure visibility, not whether either tool fits your constraints. ### Are olmo-eval and hallucination-index open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to olmo-eval or hallucination-index? GraphCanon lists graph-backed alternatives at [olmo-eval alternatives](/tools/allenai-olmo-eval/alternatives) and [hallucination-index alternatives](/tools/rungalileo-hallucination-index/alternatives) ([olmo-eval markdown twin](/tools/allenai-olmo-eval/alternatives.md), [hallucination-index markdown twin](/tools/rungalileo-hallucination-index/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-rungalileo-hallucination-index.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, olmo-eval or hallucination-index? olmo-eval: Very active. hallucination-index: 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 hallucination-index? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [olmo-eval trust report](/tools/allenai-olmo-eval/trust); [hallucination-index trust report](/tools/rungalileo-hallucination-index/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/_