--- title: "carla vs cua" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/carla-simulator-carla-vs-trycua-cua" tools: ["carla-simulator-carla", "trycua-cua"] --- # carla vs cua *GraphCanon updated Aug 19, 2026* ## Verdict Pick carla if cARLA is suitable for teams focusing on autonomous driving research with high-fidelity sensor data and environmental modeling needs; pick cua if critical facts about CUA for tool selection. [carla](http://carla.org) reports 14k GitHub stars, 4.6k forks, and 1.2k open issues, last pushed Jul 26, 2026. [cua](https://cua.ai) has 22k stars, 1.5k forks, and 662 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [carla's repository](https://github.com/carla-simulator/carla) and [cua's repository](https://github.com/trycua/cua). | | [carla](/tools/carla-simulator-carla.md) | [cua](/tools/trycua-cua.md) | | --- | --- | --- | | Tagline | Open-source simulator for autonomous driving research | Open-source infrastructure for Computer-Use Agents | | Stars | 14,234 | 21,516 | | Forks | 4,644 | 1,479 | | Open issues | 1,183 | 662 | | Language | C++ | HTML | | Adopt for | CARLA is suitable for teams focusing on autonomous driving research with high-fidelity sensor data and environmental modeling needs. | Critical facts about CUA for tool selection | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Computer Vision, Model Training | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [carla](/tools/carla-simulator-carla.md) | [cua](/tools/trycua-cua.md) | | --- | --- | --- | | Days since push | 4d | 0d | | Open issues (now) | 1.2k | 662 | | Stars delta | Unknown | +1.4k (30d) | | Open issues delta | Unknown | +122 (30d) | | Full report | [trust report](/tools/carla-simulator-carla/trust.md) | [trust report](/tools/trycua-cua/trust.md) | ## Decision facts: carla - **Adopt for:** CARLA is suitable for teams focusing on autonomous driving research with high-fidelity sensor data and environmental modeling needs. ## Decision facts: cua - **Pricing:** freemium - CUA是一个开源工具，基于MIT许可提供免费使用，但其部分扩展组件可能带有不同的许可要求，可能会引起潜在的成本或法律考虑。 - **Requirements:** Requires Docker; 安装CuA需要Docker支持来创建和操作基础镜像。; 安装过程中可能涉及到使用curl命令从特定网站下载组件，但不应自动执行这些脚本中的任何指令。 - **Adopt for:** Critical facts about CUA for tool selection ## Choose when ### Choose carla if… - carla is primarily C++; cua is HTML. - Tags unique to carla: ai, artificial-intelligence, autonomous-driving, computer-vision. - Also covers Computer Vision, Model Training. - When your project requires Unreal Engine 5.5 capabilities for realistic simulation of complex autonomous vehicle scenarios ### Choose cua if… - cua is primarily HTML; carla is C++. - Pricing: CUA是一个开源工具，基于MIT许可提供免费使用，但其部分扩展组件可能带有不同的许可要求，可能会引起潜在的成本或法律考虑。. - Requirements: Requires Docker; 安装CuA需要Docker支持来创建和操作基础镜像。; 安装过程中可能涉及到使用curl命令从特定网站下载组件，但不应自动执行这些脚本中的任何指令。. - Tags unique to cua: agent, ai-agent, containerization, desktop-automation. - Also covers AI Agents, Developer Tools. - CUA uniquely supports the creation of AI agents that can control full desktop environments across macOS, Linux, and Windows, making it ideal for developers aiming to integrate AI-driven automation in跨 ## When NOT to use carla - If your project or research does not require the advanced features of Unreal Engine 5.5 and you are constrained by older hardware or software like Windows 10 or Ubuntu 20.04 - When your immediate focus is on rapid deployment rather than simulation, as setting up CARLA requires significant setup time due to its system requirements - If your project focuses on non-autonomous driving applications where the specialized assets and simulations of CARLA may not be directly applicable ## When NOT to use cua - ，CUA， - When certain components with AGPL-3.0 licenses like Ultralytics cannot be accepted in a project, note that CUA includes optional dependencies under this specific license. ## Common questions ### What is the difference between carla and cua? carla: Open-source simulator for autonomous driving research. cua: Open-source infrastructure for Computer-Use Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose carla over cua? Choose carla over cua when carla is primarily C++; cua is HTML; Tags unique to carla: ai, artificial-intelligence, autonomous-driving, computer-vision; Also covers Computer Vision, Model Training; When your project requires Unreal Engine 5.5 capabilities for realistic simulation of complex autonomous vehicle scenarios. ### When should I choose cua over carla? Choose cua over carla when cua is primarily HTML; carla is C++; Pricing: CUA是一个开源工具，基于MIT许可提供免费使用，但其部分扩展组件可能带有不同的许可要求，可能会引起潜在的成本或法律考虑。; Requirements: Requires Docker; 安装CuA需要Docker支持来创建和操作基础镜像。; 安装过程中可能涉及到使用curl命令从特定网站下载组件，但不应自动执行这些脚本中的任何指令。; Tags unique to cua: agent, ai-agent, containerization, desktop-automation; Also covers AI Agents, Developer Tools; CUA uniquely supports the creation of AI agents that can control full desktop environments across macOS, Linux, and Windows, making it ideal for developers aiming to integrate AI-driven automation in跨. ### When should I avoid carla? If your project or research does not require the advanced features of Unreal Engine 5.5 and you are constrained by older hardware or software like Windows 10 or Ubuntu 20.04 When your immediate focus is on rapid deployment rather than simulation, as setting up CARLA requires significant setup time due to its system requirements If your project focuses on non-autonomous driving applications where the specialized assets and simulations of CARLA may not be directly applicable ### When should I avoid cua? ，CUA， When certain components with AGPL-3.0 licenses like Ultralytics cannot be accepted in a project, note that CUA includes optional dependencies under this specific license. ### Is carla or cua more popular on GitHub? cua has more GitHub stars (21,516 vs 14,234). Stars measure visibility, not whether either tool fits your constraints. ### Are carla and cua open source? Yes - both are open-source projects on GitHub (carla: MIT, cua: MIT). ### Where can I find alternatives to carla or cua? GraphCanon lists graph-backed alternatives at [carla alternatives](/tools/carla-simulator-carla/alternatives) and [cua alternatives](/tools/trycua-cua/alternatives) ([carla markdown twin](/tools/carla-simulator-carla/alternatives.md), [cua markdown twin](/tools/trycua-cua/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/carla-simulator-carla-vs-trycua-cua.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, carla or cua? carla: Very active. cua: Very 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 carla and cua? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [carla trust report](/tools/carla-simulator-carla/trust); [cua trust report](/tools/trycua-cua/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=carla-simulator-carla`](/api/graphcanon/graph?tool=carla-simulator-carla) - 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/_