--- title: "autoarena vs hallucination-index" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kolenaio-autoarena-vs-rungalileo-hallucination-index" tools: ["kolenaio-autoarena", "rungalileo-hallucination-index"] --- # autoarena vs hallucination-index *GraphCanon updated Sep 20, 2026* ## Verdict Pick autoarena if autoarena automates evaluations for LLMs and RAG systems through a user-friendly interface where projects are created and judged without manual intervention by the users; pick hallucination-index if hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types. [autoarena](https://www.kolena.com/autoarena/) reports 108 GitHub stars, 9 forks, and 4 open issues, last pushed Dec 16, 2024. [hallucination-index](https://www.rungalileo.io/hallucinationindex) has 115 stars, 8 forks, and 1 open issues, last pushed Jul 28, 2025. Figures are from public GitHub metadata via [autoarena's repository](https://github.com/kolenaIO/autoarena) and [hallucination-index's repository](https://github.com/rungalileo/hallucination-index). | | [autoarena](/tools/kolenaio-autoarena.md) | [hallucination-index](/tools/rungalileo-hallucination-index.md) | | --- | --- | --- | | Tagline | Automated evaluation of LLMs and RAG systems | Initiative to evaluate and rank popular LLMs based on hallucination propensity | | Stars | 108 | 115 | | Forks | 9 | 8 | | Open issues | 4 | 1 | | Language | TypeScript | - | | Adopt for | autoarena automates evaluations for LLMs and RAG systems through a user-friendly interface where projects are created and judged without manual intervention by the users. | 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 license | - | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autoarena](/tools/kolenaio-autoarena.md) | [hallucination-index](/tools/rungalileo-hallucination-index.md) | | --- | --- | --- | | Days since push | 642d | 418d | | Open issues (now) | 4 | 1 | | Stars delta | 0 (30d) | -1 (30d) | | Full report | [trust report](/tools/kolenaio-autoarena/trust.md) | [trust report](/tools/rungalileo-hallucination-index/trust.md) | ## Decision facts: autoarena - **Hosting:** self hosted - **Requirements:** Python environment and internet access are needed for PyPI installation via pip. - **Adopt for:** autoarena automates evaluations for LLMs and RAG systems through a user-friendly interface where projects are created and judged without manual intervention by the users. - **License detail:** Apache-2.0 license ## 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 autoarena if… - Requirements: Python environment and internet access are needed for PyPI installation via pip.. - Tags unique to autoarena: ai, evaluation, testing. - When you need a TypeScript-based tool to rank LLMs and RAG systems via automated head-to-head comparisons, and a web UI is preferable. ### Choose hallucination-index if… - Tags unique to hallucination-index: hallucinations, large-language-models, openai, retrieval-augmented generation. - 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 (115 vs 108) - visibility, not fit. ## When NOT to use autoarena - If your environment lacks the necessary Python packages or you cannot install from PyPI due to restrictions. - When real-time evaluation needs surpass capabilities, such as requiring immediate feedback beyond autoarena's batch-processing approach. ## 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 autoarena and hallucination-index? autoarena: Automated evaluation of LLMs and RAG systems. 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 autoarena over hallucination-index? Choose autoarena over hallucination-index when Requirements: Python environment and internet access are needed for PyPI installation via pip.; Tags unique to autoarena: ai, evaluation, testing; When you need a TypeScript-based tool to rank LLMs and RAG systems via automated head-to-head comparisons, and a web UI is preferable. ### When should I choose hallucination-index over autoarena? Choose hallucination-index over autoarena when Tags unique to hallucination-index: hallucinations, large-language-models, openai, retrieval-augmented generation; 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 (115 vs 108) - visibility, not fit. ### When should I avoid autoarena? If your environment lacks the necessary Python packages or you cannot install from PyPI due to restrictions. When real-time evaluation needs surpass capabilities, such as requiring immediate feedback beyond autoarena's batch-processing approach. ### 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 autoarena or hallucination-index more popular on GitHub? hallucination-index has more GitHub stars (115 vs 108). Stars measure visibility, not whether either tool fits your constraints. ### Are autoarena and hallucination-index open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to autoarena or hallucination-index? GraphCanon lists graph-backed alternatives at [autoarena alternatives](/tools/kolenaio-autoarena/alternatives) and [hallucination-index alternatives](/tools/rungalileo-hallucination-index/alternatives) ([autoarena markdown twin](/tools/kolenaio-autoarena/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/kolenaio-autoarena-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, autoarena or hallucination-index? autoarena: Dormant. 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 autoarena and hallucination-index? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autoarena trust report](/tools/kolenaio-autoarena/trust); [hallucination-index trust report](/tools/rungalileo-hallucination-index/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kolenaio-autoarena`](/api/graphcanon/graph?tool=kolenaio-autoarena) - 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/_