--- title: "carla vs AirSim" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/carla-simulator-carla-vs-microsoft-airsim" tools: ["carla-simulator-carla", "microsoft-airsim"] --- # carla vs AirSim *GraphCanon updated Jul 31, 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 AirSim if open source simulator for autonomous vehicles using Unreal Engine and Unity from Microsoft AI & Research, focusing on autonomous vehicle behavior with deep reinforcement learning capabilities. [carla](http://carla.org) reports 14k GitHub stars, 4.6k forks, and 1.2k open issues, last pushed Jul 26, 2026. [AirSim](https://microsoft.github.io/AirSim/) has 18k stars, 4.9k forks, and 774 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [carla's repository](https://github.com/carla-simulator/carla) and [AirSim's repository](https://github.com/microsoft/AirSim). | | [carla](/tools/carla-simulator-carla.md) | [AirSim](/tools/microsoft-airsim.md) | | --- | --- | --- | | Tagline | Open-source simulator for autonomous driving research | Open source simulator for autonomous vehicles built on Unreal Engine / Unity | | Stars | 14,234 | 18,353 | | Forks | 4,644 | 4,908 | | Open issues | 1,183 | 774 | | Language | C++ | C++ | | Adopt for | CARLA is suitable for teams focusing on autonomous driving research with high-fidelity sensor data and environmental modeling needs. | Open source simulator for autonomous vehicles using Unreal Engine and Unity from Microsoft AI & Research, focusing on autonomous vehicle behavior with deep reinforcement learning capabilities. | | Persona | - | - | | Runtime | - | - | | License | MIT | AirSim operates under the MIT License, which allows for free use and modification in both open source and proprietary software. | | Categories | Computer Vision, Model Training | Computer Vision, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [carla](/tools/carla-simulator-carla.md) | [AirSim](/tools/microsoft-airsim.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 4d | 30d | | Open issues (now) | 1.2k | 774 | | Full report | [trust report](/tools/carla-simulator-carla/trust.md) | [trust report](/tools/microsoft-airsim/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: AirSim - **Requirements:** Supports Unreal Engine or Unity for simulation environments. - **Adopt for:** Open source simulator for autonomous vehicles using Unreal Engine and Unity from Microsoft AI & Research, focusing on autonomous vehicle behavior with deep reinforcement learning capabilities. - **License detail:** AirSim operates under the MIT License, which allows for free use and modification in both open source and proprietary software. ## Choose when ### Choose carla if… - License: carla is MIT, AirSim is Other. - Tags unique to carla: autonomous-driving, deep-learning, imitation-learning, research. - When your project requires Unreal Engine 5.5 capabilities for realistic simulation of complex autonomous vehicle scenarios ### Choose AirSim if… - License: AirSim is Other, carla is MIT. - Requirements: Supports Unreal Engine or Unity for simulation environments.. - Tags unique to AirSim: airsim, autonomous-vehicles, control-systems, cross-platform. - When you need to simulate environments built specifically within the Unreal Engine or Unity game engines. ## 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 AirSim - If your project requires simulation within a different game engine not supported by AirSim, such as CryEngine or Godot. - When cross-platform flexibility is less of a priority compared to other specific requirements like performance optimization exclusive to one operating system. - In cases where the development environment lacks adequate support for C++, making integration efforts more cumbersome. ## Common questions ### What is the difference between carla and AirSim? carla: Open-source simulator for autonomous driving research. AirSim: Open source simulator for autonomous vehicles built on Unreal Engine / Unity. See the comparison table for live GitHub stats and shared categories. ### When should I choose carla over AirSim? Choose carla over AirSim when License: carla is MIT, AirSim is Other; Tags unique to carla: autonomous-driving, deep-learning, imitation-learning, research; When your project requires Unreal Engine 5.5 capabilities for realistic simulation of complex autonomous vehicle scenarios. ### When should I choose AirSim over carla? Choose AirSim over carla when License: AirSim is Other, carla is MIT; Requirements: Supports Unreal Engine or Unity for simulation environments.; Tags unique to AirSim: airsim, autonomous-vehicles, control-systems, cross-platform; When you need to simulate environments built specifically within the Unreal Engine or Unity game engines. ### 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 AirSim? If your project requires simulation within a different game engine not supported by AirSim, such as CryEngine or Godot. When cross-platform flexibility is less of a priority compared to other specific requirements like performance optimization exclusive to one operating system. In cases where the development environment lacks adequate support for C++, making integration efforts more cumbersome. ### Is carla or AirSim more popular on GitHub? AirSim has more GitHub stars (18,353 vs 14,234). Stars measure visibility, not whether either tool fits your constraints. ### Are carla and AirSim open source? Yes - both are open-source projects on GitHub (carla: MIT, AirSim: Other). ### Where can I find alternatives to carla or AirSim? GraphCanon lists graph-backed alternatives at [carla alternatives](/tools/carla-simulator-carla/alternatives) and [AirSim alternatives](/tools/microsoft-airsim/alternatives) ([carla markdown twin](/tools/carla-simulator-carla/alternatives.md), [AirSim markdown twin](/tools/microsoft-airsim/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-microsoft-airsim.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, carla or AirSim? carla: Very active. AirSim: Steady. 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 AirSim? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [carla trust report](/tools/carla-simulator-carla/trust); [AirSim trust report](/tools/microsoft-airsim/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/_