--- title: "caffe vs MegEngine" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bvlc-caffe-vs-megengine-megengine" tools: ["bvlc-caffe", "megengine-megengine"] --- # caffe vs MegEngine *GraphCanon updated Aug 3, 2026* ## Verdict Pick caffe if caffe is designed for deep learning tasks, especially those involving computer vision, and is written in C++ to ensure efficiency; pick MegEngine if megEngine是一个快速、可扩展且支持自动求导的深度学习框架，适用于多种平台和环境。它主要用C++编写，并以Apache-2.0许可分发。. [caffe](http://caffe.berkeleyvision.org/) reports 35k GitHub stars, 18k forks, and 1.5k open issues, last pushed Jul 31, 2024. [MegEngine](https://megengine.org.cn/) has 4.8k stars, 548 forks, and 173 open issues, last pushed Oct 24, 2024. Figures are from public GitHub metadata via [caffe's repository](https://github.com/BVLC/caffe) and [MegEngine's repository](https://github.com/MegEngine/MegEngine). | | [caffe](/tools/bvlc-caffe.md) | [MegEngine](/tools/megengine-megengine.md) | | --- | --- | --- | | Tagline | Caffe is a fast open framework for deep learning. | 一个快速、可拓展、易于使用且支持自动求导的深度学习框架 | | Stars | 34,573 | 4,809 | | Forks | 18,443 | 548 | | Open issues | 1,471 | 173 | | Language | C++ | C++ | | Adopt for | Caffe is designed for deep learning tasks, especially those involving computer vision, and is written in C++ to ensure efficiency. | MegEngine是一个快速、可扩展且支持自动求导的深度学习框架，适用于多种平台和环境。它主要用C++编写，并以Apache-2.0许可分发。 | | Persona | - | - | | Runtime | - | - | | License | Caffe is available under the BSD 2-Clause license. | Apache-2.0 | | Categories | Computer Vision, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caffe](/tools/bvlc-caffe.md) | [MegEngine](/tools/megengine-megengine.md) | | --- | --- | --- | | Days since push | 732d | 647d | | Open issues (now) | 1.5k | 173 | | Full report | [trust report](/tools/bvlc-caffe/trust.md) | [trust report](/tools/megengine-megengine/trust.md) | ## Decision facts: caffe - **Pricing:** freemium - Free to use under open source licensing with no monetary charges. - **Adopt for:** Caffe is designed for deep learning tasks, especially those involving computer vision, and is written in C++ to ensure efficiency. - **License detail:** Caffe is available under the BSD 2-Clause license. ## Decision facts: MegEngine - **Adopt for:** MegEngine是一个快速、可扩展且支持自动求导的深度学习框架，适用于多种平台和环境。它主要用C++编写，并以Apache-2.0许可分发。 ## Choose when ### Choose caffe if… - License: caffe is Other, MegEngine is Apache-2.0. - Pricing: Free to use under open source licensing with no monetary charges.. - Tags unique to caffe: vision. - Also covers Computer Vision. - - You need a framework that supports high-performance convolutional networks particularly suited for image classification ### Choose MegEngine if… - License: MegEngine is Apache-2.0, caffe is Other. - Tags unique to MegEngine: autograd, gpu, numpy, python. - - 当您需要在Linux、Windows（WSL或直接）、MacOS（仅限CPU）和Android设备（仅限CPU）上使用Python进行深度学习项目时 ## When NOT to use caffe - - Your primary task involves natural language processing rather than computer vision challenges, where specialized frameworks might outperform Caffe - - You seek a framework that integrates seamlessly with Python for both training and inference, as Caffe relies heavily on C++ for its core operations ## When NOT to use MegEngine - - Python3.63.9，，MegEnginePython ## Common questions ### What is the difference between caffe and MegEngine? caffe: Caffe is a fast open framework for deep learning.. MegEngine: 一个快速、可拓展、易于使用且支持自动求导的深度学习框架. See the comparison table for live GitHub stats and shared categories. ### When should I choose caffe over MegEngine? Choose caffe over MegEngine when License: caffe is Other, MegEngine is Apache-2.0; Pricing: Free to use under open source licensing with no monetary charges.; Tags unique to caffe: vision; Also covers Computer Vision; - You need a framework that supports high-performance convolutional networks particularly suited for image classification. ### When should I choose MegEngine over caffe? Choose MegEngine over caffe when License: MegEngine is Apache-2.0, caffe is Other; Tags unique to MegEngine: autograd, gpu, numpy, python; - 当您需要在Linux、Windows（WSL或直接）、MacOS（仅限CPU）和Android设备（仅限CPU）上使用Python进行深度学习项目时. ### When should I avoid caffe? - Your primary task involves natural language processing rather than computer vision challenges, where specialized frameworks might outperform Caffe - You seek a framework that integrates seamlessly with Python for both training and inference, as Caffe relies heavily on C++ for its core operations ### When should I avoid MegEngine? - Python3.63.9，，MegEnginePython ### Is caffe or MegEngine more popular on GitHub? caffe has more GitHub stars (34,573 vs 4,809). Stars measure visibility, not whether either tool fits your constraints. ### Are caffe and MegEngine open source? Yes - both are open-source projects on GitHub (caffe: Other, MegEngine: Apache-2.0). ### Where can I find alternatives to caffe or MegEngine? GraphCanon lists graph-backed alternatives at [caffe alternatives](/tools/bvlc-caffe/alternatives) and [MegEngine alternatives](/tools/megengine-megengine/alternatives) ([caffe markdown twin](/tools/bvlc-caffe/alternatives.md), [MegEngine markdown twin](/tools/megengine-megengine/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/bvlc-caffe-vs-megengine-megengine.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, caffe or MegEngine? caffe: Dormant. MegEngine: Dormant. 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 caffe and MegEngine? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [caffe trust report](/tools/bvlc-caffe/trust); [MegEngine trust report](/tools/megengine-megengine/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bvlc-caffe`](/api/graphcanon/graph?tool=bvlc-caffe) - 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/_