--- title: "eval-view vs myclaw-bench" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hidai25-eval-view-vs-leoyeai-myclaw-bench" tools: ["hidai25-eval-view", "leoyeai-myclaw-bench"] --- # eval-view vs myclaw-bench *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 myclaw-bench if myclaw-bench is a benchmark suite comprising 45 tasks across four tiers designed for evaluating AI agents within the OpenClaw platform. [eval-view](https://evalview.com) reports 126 GitHub stars, 21 forks, and 3 open issues, last pushed Jul 26, 2026. [myclaw-bench](https://myclaw.ai) has 227 stars, 38 forks, and 2 open issues, last pushed Jul 20, 2026. Figures are from public GitHub metadata via [eval-view's repository](https://github.com/hidai25/eval-view) and [myclaw-bench's repository](https://github.com/LeoYeAI/myclaw-bench). | | [eval-view](/tools/hidai25-eval-view.md) | [myclaw-bench](/tools/leoyeai-myclaw-bench.md) | | --- | --- | --- | | Tagline | Regression testing for AI agents | Benchmark for AI agents on OpenClaw | | Stars | 126 | 227 | | Forks | 21 | 38 | | Open issues | 3 | 2 | | Language | Python | Python | | Adopt for | Regression testing for AI agents to detect behavioral changes and output quality regressions over time. | myclaw-bench is a benchmark suite comprising 45 tasks across four tiers designed for evaluating AI agents within the OpenClaw platform. | | Persona | - | - | | Runtime | - | - | | License | The software uses the Apache-2.0 license, offering permissive terms for use and distribution. | MIT | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [eval-view](/tools/hidai25-eval-view.md) | [myclaw-bench](/tools/leoyeai-myclaw-bench.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 6d | 8d | | Open issues (now) | 3 | 2 | | Full report | [trust report](/tools/hidai25-eval-view/trust.md) | [trust report](/tools/leoyeai-myclaw-bench/trust.md) | ## Shared compatibility - **Python**: [eval-view](/tools/hidai25-eval-view.md) - Python runtime; [myclaw-bench](/tools/leoyeai-myclaw-bench.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: myclaw-bench - **Requirements:** Requires Python version 3.10 or higher to execute the benchmark tasks.; Necessitates installation of the 'uv' package manager from Astral for dependencies management. - **Adopt for:** myclaw-bench is a benchmark suite comprising 45 tasks across four tiers designed for evaluating AI agents within the OpenClaw platform. ## Choose when ### Choose eval-view if… - License: eval-view is Apache-2.0, myclaw-bench is MIT. - 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. - 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 myclaw-bench if… - License: myclaw-bench is MIT, eval-view is Apache-2.0. - Requirements: Requires Python version 3.10 or higher to execute the benchmark tasks.; Necessitates installation of the 'uv' package manager from Astral for dependencies management.. - Tags unique to myclaw-bench: ai-agent-evaluation, benchmarking-tools, openclaw. - Use myclaw-bench if you are developing AI agents specifically for deployment on the OpenClaw platform, as it offers a precise evaluation tailored to this ecosystem. ## 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 myclaw-bench - Avoid using myclaw-bench if your AI agents will not be deployed on the OpenClaw platform, as its benchmarks are specifically designed to test within this framework. - Do not use if you require synthetic tests for controlling variables in a highly abstracted scenario, since myclaw-bench exclusively leverages real agent session data. ## Common questions ### What is the difference between eval-view and myclaw-bench? eval-view: Regression testing for AI agents. myclaw-bench: Benchmark for AI agents on OpenClaw. See the comparison table for live GitHub stats and shared categories. ### When should I choose eval-view over myclaw-bench? Choose eval-view over myclaw-bench when License: eval-view is Apache-2.0, myclaw-bench is MIT; 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; 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 myclaw-bench over eval-view? Choose myclaw-bench over eval-view when License: myclaw-bench is MIT, eval-view is Apache-2.0; Requirements: Requires Python version 3.10 or higher to execute the benchmark tasks.; Necessitates installation of the 'uv' package manager from Astral for dependencies management.; Tags unique to myclaw-bench: ai-agent-evaluation, benchmarking-tools, openclaw; Use myclaw-bench if you are developing AI agents specifically for deployment on the OpenClaw platform, as it offers a precise evaluation tailored to this ecosystem. ### 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 myclaw-bench? Avoid using myclaw-bench if your AI agents will not be deployed on the OpenClaw platform, as its benchmarks are specifically designed to test within this framework. Do not use if you require synthetic tests for controlling variables in a highly abstracted scenario, since myclaw-bench exclusively leverages real agent session data. ### Is eval-view or myclaw-bench more popular on GitHub? myclaw-bench has more GitHub stars (227 vs 126). Stars measure visibility, not whether either tool fits your constraints. ### Are eval-view and myclaw-bench open source? Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, myclaw-bench: MIT). ### Where can I find alternatives to eval-view or myclaw-bench? GraphCanon lists graph-backed alternatives at [eval-view alternatives](/tools/hidai25-eval-view/alternatives) and [myclaw-bench alternatives](/tools/leoyeai-myclaw-bench/alternatives) ([eval-view markdown twin](/tools/hidai25-eval-view/alternatives.md), [myclaw-bench markdown twin](/tools/leoyeai-myclaw-bench/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-leoyeai-myclaw-bench.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, eval-view or myclaw-bench? eval-view: Very active. myclaw-bench: Active. 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 myclaw-bench? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [eval-view trust report](/tools/hidai25-eval-view/trust); [myclaw-bench trust report](/tools/leoyeai-myclaw-bench/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/_