--- title: "eval-view vs autoarena" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hidai25-eval-view-vs-kolenaio-autoarena" tools: ["hidai25-eval-view", "kolenaio-autoarena"] --- # eval-view vs autoarena *GraphCanon updated Aug 2, 2026* ## Verdict Pick eval-view if regression testing for AI agents to detect behavioral changes and output quality regressions over time; 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. [eval-view](https://evalview.com) reports 126 GitHub stars, 21 forks, and 3 open issues, last pushed Jul 26, 2026. [autoarena](https://www.kolena.com/autoarena/) has 108 stars, 9 forks, and 4 open issues, last pushed Dec 16, 2024. Figures are from public GitHub metadata via [eval-view's repository](https://github.com/hidai25/eval-view) and [autoarena's repository](https://github.com/kolenaIO/autoarena). | | [eval-view](/tools/hidai25-eval-view.md) | [autoarena](/tools/kolenaio-autoarena.md) | | --- | --- | --- | | Tagline | Regression testing for AI agents | Automated evaluation of LLMs and RAG systems | | Stars | 126 | 108 | | Forks | 21 | 9 | | Open issues | 3 | 4 | | Language | Python | TypeScript | | Adopt for | Regression testing for AI agents to detect behavioral changes and output quality regressions over time. | 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. | | Persona | - | - | | Runtime | - | - | | License | The software uses the Apache-2.0 license, offering permissive terms for use and distribution. | Apache-2.0 license | | Categories | AI Agents, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [eval-view](/tools/hidai25-eval-view.md) | [autoarena](/tools/kolenaio-autoarena.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 6d | 589d | | Open issues (now) | 3 | 4 | | Owner type | User | Organization | | Full report | [trust report](/tools/hidai25-eval-view/trust.md) | [trust report](/tools/kolenaio-autoarena/trust.md) | ## Shared compatibility - **Python**: [eval-view](/tools/hidai25-eval-view.md) - Python runtime; [autoarena](/tools/kolenaio-autoarena.md) - Python runtime ## Decision facts: eval-view - **Pricing:** freemium - Free to use under the terms of the Apache License, Version 2.0. - **Requirements:** Python environment is required for installation and usage.; Installation with pip: `pip install evalview`; Offline support means no live API keys necessary for the basic diff functionality. - **Adopt for:** Regression testing for AI agents to detect behavioral changes and output quality regressions over time. - **License detail:** The software uses the Apache-2.0 license, offering permissive terms for use and distribution. ## 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 ## Choose when ### Choose eval-view if… - eval-view is primarily Python; autoarena is TypeScript. - Pricing: Free to use under the terms of the Apache License, Version 2.0.. - Requirements: Python environment is required for installation and usage.; Installation with pip: `pip install evalview`; Offline support means no live API keys necessary for the basic diff functionality.. - Tags unique to eval-view: agent-benchmark, agent-evaluation, ai-agents, regression-testing. - Also covers AI Agents. - eval-view ships Docker support for self-hosted deployment. - When you need to track and assess the behavior consistency of your AI agent across versions without involving live API calls. ### Choose autoarena if… - autoarena is primarily TypeScript; eval-view is Python. - Requirements: Python environment and internet access are needed for PyPI installation via pip.. - Tags unique to autoarena: ai, evaluation, llm-evaluation, rag. - 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 NOT to use eval-view - If you do not need to monitor specific behavioral characteristics such as tool call sequences and parameter consistency over time. - When real-time output quality evaluation is critical, as eval-view's offline diffing does not provide immediate feedback on output changes without an LLM judge. ## 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. ## Common questions ### What is the difference between eval-view and autoarena? eval-view: Regression testing for AI agents. autoarena: Automated evaluation of LLMs and RAG systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose eval-view over autoarena? Choose eval-view over autoarena when eval-view is primarily Python; autoarena is TypeScript; Pricing: Free to use under the terms of the Apache License, Version 2.0.; Requirements: Python environment is required for installation and usage.; Installation with pip: `pip install evalview`; Offline support means no live API keys necessary for the basic diff functionality.; Tags unique to eval-view: agent-benchmark, agent-evaluation, ai-agents, regression-testing; Also covers AI Agents; eval-view ships Docker support for self-hosted deployment; When you need to track and assess the behavior consistency of your AI agent across versions without involving live API calls. ### When should I choose autoarena over eval-view? Choose autoarena over eval-view when autoarena is primarily TypeScript; eval-view is Python; Requirements: Python environment and internet access are needed for PyPI installation via pip.; Tags unique to autoarena: ai, evaluation, llm-evaluation, rag; 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 avoid eval-view? If you do not need to monitor specific behavioral characteristics such as tool call sequences and parameter consistency over time. When real-time output quality evaluation is critical, as eval-view's offline diffing does not provide immediate feedback on output changes without an LLM judge. ### 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. ### Is eval-view or autoarena more popular on GitHub? eval-view has more GitHub stars (126 vs 108). Stars measure visibility, not whether either tool fits your constraints. ### Are eval-view and autoarena open source? Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, autoarena: Apache-2.0). ### Where can I find alternatives to eval-view or autoarena? GraphCanon lists graph-backed alternatives at [eval-view alternatives](/tools/hidai25-eval-view/alternatives) and [autoarena alternatives](/tools/kolenaio-autoarena/alternatives) ([eval-view markdown twin](/tools/hidai25-eval-view/alternatives.md), [autoarena markdown twin](/tools/kolenaio-autoarena/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/hidai25-eval-view-vs-kolenaio-autoarena.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, eval-view or autoarena? eval-view: Very active. autoarena: 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 eval-view and autoarena? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [eval-view trust report](/tools/hidai25-eval-view/trust); [autoarena trust report](/tools/kolenaio-autoarena/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hidai25-eval-view`](/api/graphcanon/graph?tool=hidai25-eval-view) - 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/_