--- title: "icevision vs caer" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/airctic-icevision-vs-jasmcaus-caer" tools: ["airctic-icevision", "jasmcaus-caer"] --- # icevision vs caer *GraphCanon updated Jul 31, 2026* ## Verdict Pick icevision if iceVision is an agnostic computer vision framework that supports integration with multiple training libraries including Fast.ai and PyTorch-Lightning; pick caer if caer is noted for its high-performance vision tasks including image and video processing, with GPU support via CUDA. [icevision](https://airctic.github.io/icevision/) reports 867 GitHub stars, 148 forks, and 83 open issues, last pushed Nov 26, 2024. [caer](https://caer.readthedocs.io) has 812 stars, 108 forks, and 1 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [icevision's repository](https://github.com/airctic/icevision) and [caer's repository](https://github.com/jasmcaus/caer). | | [icevision](/tools/airctic-icevision.md) | [caer](/tools/jasmcaus-caer.md) | | --- | --- | --- | | Tagline | Agnostic Computer Vision Framework | High-performance Vision library in Python for scaling research | | Stars | 867 | 812 | | Forks | 148 | 108 | | Open issues | 83 | 1 | | Language | Python | Python | | Adopt for | IceVision is an agnostic computer vision framework that supports integration with multiple training libraries including Fast.ai and PyTorch-Lightning. | Caer is noted for its high-performance vision tasks including image and video processing, with GPU support via CUDA. | | Persona | - | - | | Runtime | - | - | | License | IceVision uses the Apache-2.0 license, granting permission to use, share, and adapt the software freely. | MIT | | Categories | Computer Vision | Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [icevision](/tools/airctic-icevision.md) | [caer](/tools/jasmcaus-caer.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 611d | 5d | | Open issues (now) | 83 | 1 | | Owner type | Organization | User | | Full report | [trust report](/tools/airctic-icevision/trust.md) | [trust report](/tools/jasmcaus-caer/trust.md) | ## Shared compatibility - **Python**: [icevision](/tools/airctic-icevision.md) - Python runtime; [caer](/tools/jasmcaus-caer.md) - Python runtime ## Decision facts: icevision - **Adopt for:** IceVision is an agnostic computer vision framework that supports integration with multiple training libraries including Fast.ai and PyTorch-Lightning. - **License detail:** IceVision uses the Apache-2.0 license, granting permission to use, share, and adapt the software freely. ## Decision facts: caer - **Adopt for:** Caer is noted for its high-performance vision tasks including image and video processing, with GPU support via CUDA. ## Choose when ### Choose icevision if… - License: icevision is Apache-2.0, caer is MIT. - Tags unique to icevision: annotation-parsers, coco-dataset, object-detection, pytorch. - Use IceVision if you are working on Linux or MacOS environments, as the project only supports these operating systems. ### Choose caer if… - License: caer is MIT, icevision is Apache-2.0. - Tags unique to caer: artificial-intelligence, augmentation, computer-vision, cuda. - If you are working on projects that require scaling computer vision research efforts without excessive boilerplate code, Caer offers streamlined solutions. ## When NOT to use icevision - Do not use IceVision if you are working on Windows, because the framework does not support this operating system. - Avoid IceVision in scenarios where there is a strict dependency on a third-party tool or library that is incompatible with Fast.ai and PyTorch-Lightning. ## When NOT to use caer - Avoid using caer if you are restricted to Python versions lower than 3.6, or when adherence to a specific older Python version is critical to your project. - If compatibility with only open-source libraries is needed and CUDA support is not required, other more limited scope tools might be a better choice. ## Common questions ### What is the difference between icevision and caer? icevision: Agnostic Computer Vision Framework. caer: High-performance Vision library in Python for scaling research. See the comparison table for live GitHub stats and shared categories. ### When should I choose icevision over caer? Choose icevision over caer when License: icevision is Apache-2.0, caer is MIT; Tags unique to icevision: annotation-parsers, coco-dataset, object-detection, pytorch; Use IceVision if you are working on Linux or MacOS environments, as the project only supports these operating systems. ### When should I choose caer over icevision? Choose caer over icevision when License: caer is MIT, icevision is Apache-2.0; Tags unique to caer: artificial-intelligence, augmentation, computer-vision, cuda; If you are working on projects that require scaling computer vision research efforts without excessive boilerplate code, Caer offers streamlined solutions. ### When should I avoid icevision? Do not use IceVision if you are working on Windows, because the framework does not support this operating system. Avoid IceVision in scenarios where there is a strict dependency on a third-party tool or library that is incompatible with Fast.ai and PyTorch-Lightning. ### When should I avoid caer? Avoid using caer if you are restricted to Python versions lower than 3.6, or when adherence to a specific older Python version is critical to your project. If compatibility with only open-source libraries is needed and CUDA support is not required, other more limited scope tools might be a better choice. ### Is icevision or caer more popular on GitHub? icevision has more GitHub stars (867 vs 812). Stars measure visibility, not whether either tool fits your constraints. ### Are icevision and caer open source? Yes - both are open-source projects on GitHub (icevision: Apache-2.0, caer: MIT). ### Where can I find alternatives to icevision or caer? GraphCanon lists graph-backed alternatives at [icevision alternatives](/tools/airctic-icevision/alternatives) and [caer alternatives](/tools/jasmcaus-caer/alternatives) ([icevision markdown twin](/tools/airctic-icevision/alternatives.md), [caer markdown twin](/tools/jasmcaus-caer/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/airctic-icevision-vs-jasmcaus-caer.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, icevision or caer? icevision: Dormant. caer: 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 icevision and caer? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [icevision trust report](/tools/airctic-icevision/trust); [caer trust report](/tools/jasmcaus-caer/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=airctic-icevision`](/api/graphcanon/graph?tool=airctic-icevision) - 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/_