--- title: "ClawBench vs Botright" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/tiger-ai-lab-clawbench-vs-vinyzu-botright" tools: ["tiger-ai-lab-clawbench", "vinyzu-botright"] --- # ClawBench vs Botright *GraphCanon updated Sep 20, 2026* ## Verdict Pick ClawBench if clawBench offers an open-source benchmark framework for evaluating browser-based AI agents on real-world online tasks; pick Botright if botright is an advanced automation framework that leverages AI for captcha-solving tasks while maintaining undetected browser activities. [ClawBench](https://claw-bench.com) reports 796 GitHub stars, 58 forks, and 46 open issues, last pushed Sep 20, 2026. [Botright](https://github.com/Vinyzu/Botright) has 1.0k stars, 85 forks, and 39 open issues, last pushed Sep 9, 2026. Figures are from public GitHub metadata via [ClawBench's repository](https://github.com/TIGER-AI-Lab/ClawBench) and [Botright's repository](https://github.com/Vinyzu/Botright). | | [ClawBench](/tools/tiger-ai-lab-clawbench.md) | [Botright](/tools/vinyzu-botright.md) | | --- | --- | --- | | Tagline | Open-source benchmark for browser AI agents on daily tasks | an automation framework with AI captcha-solving features | | Stars | 796 | 1,027 | | Forks | 58 | 85 | | Open issues | 46 | 39 | | Language | Python | Python | | Adopt for | ClawBench offers an open-source benchmark framework for evaluating browser-based AI agents on real-world online tasks. | Botright is an advanced automation framework that leverages AI for captcha-solving tasks while maintaining undetected browser activities. | | Persona | - | - | | Runtime | - | - | | License | ClawBench operates under the Apache-2.0 license, offering a permissive free software license that encourages software reuse and interoperability. | GPL-3.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ClawBench](/tools/tiger-ai-lab-clawbench.md) | [Botright](/tools/vinyzu-botright.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 10d | | Open issues (now) | 46 | 39 | | Stars delta | +264 (30d) | +18 (30d) | | Open issues delta | -1 (30d) | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/tiger-ai-lab-clawbench/trust.md) | [trust report](/tools/vinyzu-botright/trust.md) | ## Shared compatibility - **Python**: [ClawBench](/tools/tiger-ai-lab-clawbench.md) - Python runtime; [Botright](/tools/vinyzu-botright.md) - Python runtime ## Decision facts: ClawBench - **Requirements:** Requires setup for browser automation tasks within the Chrome environment. - **Adopt for:** ClawBench offers an open-source benchmark framework for evaluating browser-based AI agents on real-world online tasks. - **License detail:** ClawBench operates under the Apache-2.0 license, offering a permissive free software license that encourages software reuse and interoperability. ## Decision facts: Botright - **Adopt for:** Botright is an advanced automation framework that leverages AI for captcha-solving tasks while maintaining undetected browser activities. ## Choose when ### Choose ClawBench if… - License: ClawBench is Apache-2.0, Botright is GPL-3.0. - Requirements: Requires setup for browser automation tasks within the Chrome environment.. - Tags unique to ClawBench: agent-evaluation, agentic-ai, browser-agent, llm-evaluation. - Also covers Evaluation & Observability. - You are developing a browser AI agent and wish to measure its performance against everyday online activities, as ClawBench specifically simulates these scenarios. ### Choose Botright if… - License: Botright is GPL-3.0, ClawBench is Apache-2.0. - Tags unique to Botright: ai, automation, bots, captcha-solving. - Also covers Data & Retrieval. - When you need to automate tasks that require human-like interaction and you anticipate the need for captcha resolution. ## When NOT to use ClawBench - If your focus is solely on backend server-based AI evaluations without a browser interface involvement, ClawBench will not be the appropriate choice. - For those developing standalone applications or mobile agents, ClawBench’s browser-centric tasks will not reflect their operational capabilities accurately. ## When NOT to use Botright - You should not use Botright if your project is bound by licenses incompatible with GPL-3.0, as this could lead to legal issues. - Avoid using Botright for applications where complete transparency and avoidability are required, as its strength lies in stealth. ## Common questions ### What is the difference between ClawBench and Botright? ClawBench: Open-source benchmark for browser AI agents on daily tasks. Botright: an automation framework with AI captcha-solving features. See the comparison table for live GitHub stats and shared categories. ### When should I choose ClawBench over Botright? Choose ClawBench over Botright when License: ClawBench is Apache-2.0, Botright is GPL-3.0; Requirements: Requires setup for browser automation tasks within the Chrome environment.; Tags unique to ClawBench: agent-evaluation, agentic-ai, browser-agent, llm-evaluation; Also covers Evaluation & Observability; You are developing a browser AI agent and wish to measure its performance against everyday online activities, as ClawBench specifically simulates these scenarios. ### When should I choose Botright over ClawBench? Choose Botright over ClawBench when License: Botright is GPL-3.0, ClawBench is Apache-2.0; Tags unique to Botright: ai, automation, bots, captcha-solving; Also covers Data & Retrieval; When you need to automate tasks that require human-like interaction and you anticipate the need for captcha resolution. ### When should I avoid ClawBench? If your focus is solely on backend server-based AI evaluations without a browser interface involvement, ClawBench will not be the appropriate choice. For those developing standalone applications or mobile agents, ClawBench’s browser-centric tasks will not reflect their operational capabilities accurately. ### When should I avoid Botright? You should not use Botright if your project is bound by licenses incompatible with GPL-3.0, as this could lead to legal issues. Avoid using Botright for applications where complete transparency and avoidability are required, as its strength lies in stealth. ### Is ClawBench or Botright more popular on GitHub? Botright has more GitHub stars (1,027 vs 796). Stars measure visibility, not whether either tool fits your constraints. ### Are ClawBench and Botright open source? Yes - both are open-source projects on GitHub (ClawBench: Apache-2.0, Botright: GPL-3.0). ### Where can I find alternatives to ClawBench or Botright? GraphCanon lists graph-backed alternatives at [ClawBench alternatives](/tools/tiger-ai-lab-clawbench/alternatives) and [Botright alternatives](/tools/vinyzu-botright/alternatives) ([ClawBench markdown twin](/tools/tiger-ai-lab-clawbench/alternatives.md), [Botright markdown twin](/tools/vinyzu-botright/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/tiger-ai-lab-clawbench-vs-vinyzu-botright.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ClawBench or Botright? ClawBench: Very active. Botright: 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 ClawBench and Botright? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ClawBench trust report](/tools/tiger-ai-lab-clawbench/trust); [Botright trust report](/tools/vinyzu-botright/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=tiger-ai-lab-clawbench`](/api/graphcanon/graph?tool=tiger-ai-lab-clawbench) - 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/_