--- title: "autoarena vs just-eval" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kolenaio-autoarena-vs-re-align-just-eval" tools: ["kolenaio-autoarena", "re-align-just-eval"] --- # autoarena vs just-eval *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 just-eval if just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs. [autoarena](https://www.kolena.com/autoarena/) reports 108 GitHub stars, 9 forks, and 4 open issues, last pushed Dec 16, 2024. [just-eval](https://allenai.github.io/re-align/) has 90 stars, 7 forks, and 2 open issues, last pushed Jan 29, 2024. Figures are from public GitHub metadata via [autoarena's repository](https://github.com/kolenaIO/autoarena) and [just-eval's repository](https://github.com/Re-Align/just-eval). | | [autoarena](/tools/kolenaio-autoarena.md) | [just-eval](/tools/re-align-just-eval.md) | | --- | --- | --- | | Tagline | Automated evaluation of LLMs and RAG systems | A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs. | | Stars | 108 | 90 | | Forks | 9 | 7 | | Open issues | 4 | 2 | | Language | TypeScript | Python | | 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. | just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 license | MIT | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autoarena](/tools/kolenaio-autoarena.md) | [just-eval](/tools/re-align-just-eval.md) | | --- | --- | --- | | Days since push | 642d | 953d | | Open issues (now) | 4 | 2 | | Full report | [trust report](/tools/kolenaio-autoarena/trust.md) | [trust report](/tools/re-align-just-eval/trust.md) | ## Shared compatibility - **Python**: [autoarena](/tools/kolenaio-autoarena.md) - Python runtime; [just-eval](/tools/re-align-just-eval.md) - Python runtime ## 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: just-eval - **Adopt for:** just-eval provides a straightforward GPT-based framework for evaluating LLMs across multiple dimensions with clear outputs. ## Choose when ### Choose autoarena if… - autoarena is primarily TypeScript; just-eval is Python. - License: autoarena is Apache-2.0, just-eval is MIT. - Requirements: Python environment and internet access are needed for PyPI installation via pip.. - Tags unique to autoarena: ai, rag, 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 just-eval if… - just-eval is primarily Python; autoarena is TypeScript. - License: just-eval is MIT, autoarena is Apache-2.0. - Tags unique to just-eval: gpt4, llm, llm-eval, llm-evaluation-toolkit. - When your team requires an in-depth yet interpretable evaluation of LLM performance, focusing on various aspects. ## 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 just-eval - Avoid if direct integration with competing API services is needed as just-eval focuses solely on OpenAI API key configuration. - Not suitable when your project demands a custom evaluation framework that extends beyond simple GPT-based assessments. ## Common questions ### What is the difference between autoarena and just-eval? autoarena: Automated evaluation of LLMs and RAG systems. just-eval: A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose autoarena over just-eval? Choose autoarena over just-eval when autoarena is primarily TypeScript; just-eval is Python; License: autoarena is Apache-2.0, just-eval is MIT; Requirements: Python environment and internet access are needed for PyPI installation via pip.; Tags unique to autoarena: ai, rag, 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 just-eval over autoarena? Choose just-eval over autoarena when just-eval is primarily Python; autoarena is TypeScript; License: just-eval is MIT, autoarena is Apache-2.0; Tags unique to just-eval: gpt4, llm, llm-eval, llm-evaluation-toolkit; When your team requires an in-depth yet interpretable evaluation of LLM performance, focusing on various aspects. ### 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 just-eval? Avoid if direct integration with competing API services is needed as just-eval focuses solely on OpenAI API key configuration. Not suitable when your project demands a custom evaluation framework that extends beyond simple GPT-based assessments. ### Is autoarena or just-eval more popular on GitHub? autoarena has more GitHub stars (108 vs 90). Stars measure visibility, not whether either tool fits your constraints. ### Are autoarena and just-eval open source? Yes - both are open-source projects on GitHub (autoarena: Apache-2.0, just-eval: MIT). ### Where can I find alternatives to autoarena or just-eval? GraphCanon lists graph-backed alternatives at [autoarena alternatives](/tools/kolenaio-autoarena/alternatives) and [just-eval alternatives](/tools/re-align-just-eval/alternatives) ([autoarena markdown twin](/tools/kolenaio-autoarena/alternatives.md), [just-eval markdown twin](/tools/re-align-just-eval/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-re-align-just-eval.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autoarena or just-eval? autoarena: Dormant. just-eval: 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 just-eval? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autoarena trust report](/tools/kolenaio-autoarena/trust); [just-eval trust report](/tools/re-align-just-eval/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/_