Comparison
caffe vs MegEngine
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。.
Markdown twin · caffe alternatives · MegEngine alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | caffe | MegEngine |
|---|---|---|
| Maintenance | Dormant (732d since push) As of 3w · github_public_v1 | Dormant (647d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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
Stars
- caffe
- 35k
- MegEngine
- 4.8k
Forks
- caffe
- 18k
- MegEngine
- 548
Open issues
- caffe
- 1.5k
- MegEngine
- 173
Language
- caffe
- C++
- MegEngine
- C++
Adopt for
- caffe
- Caffe is designed for deep learning tasks, especially those involving computer vision, and is written in C++ to ensure efficiency.
- MegEngine
- 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
- caffe
- -
- MegEngine
- -
Runtime
- caffe
- -
- MegEngine
- -
License
- caffe
- Caffe is available under the BSD 2-Clause license.
- MegEngine
- Apache-2.0
Last pushed
- caffe
- Jul 31, 2024
- MegEngine
- Oct 24, 2024
Categories
- caffe
- Computer Vision, Model Training
- MegEngine
- Model Training
Trust and health
Days since push
- caffe
- 732d
- MegEngine
- 647d
Open issues (now)
- caffe
- 1.5k
- MegEngine
- 173
Full report
- caffe
- Trust report
- MegEngine
- Trust report
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
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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (BVLC/caffe) · observed Aug 3, 2026
- GitHub forks (BVLC/caffe) · observed Aug 3, 2026
- Last push (BVLC/caffe) · observed Jul 31, 2024
- License file (Other) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (MegEngine/MegEngine) · observed Aug 3, 2026
- GitHub forks (MegEngine/MegEngine) · observed Aug 3, 2026
- Last push (MegEngine/MegEngine) · observed Oct 24, 2024
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: caffe 35k · MegEngine 4.8k (synced Aug 3, 2026).
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 and MegEngine alternatives (caffe markdown twin, MegEngine markdown twin), 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 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; MegEngine trust report.