MegEngine

7.0easy start · #9 of 36
in Deep Learning Software

Free to practise onyes
Free trialnot on record
Well documentedyes
Runs where you workyes

Runs on Android, iOS, Linux, Mac, self-hosted, Windows.

MegEngine is ranked #9 of 36 in deep learning software on The Geeks Club. It runs on Android, iOS, Linux, macOS, Self-hosted, Windows. There is a free plan.

MegEngine plans and pricing

All plans

MegEngine Free Open source framework; Python packages for Linux 64-bit, Windows 64-bit, macOS 10.14+ and Android 7+ (Python 3.6–3.9); other platforms supported for inference github.com · 2 Oct 2026

Compared on deep learning software

Free plan: Yes
Training mode: local
Deployment targets: multiple
GPU acceleration: Yes
Distributed training: Yes
Supported languages: Python, C++
Model formats: MegEngine .mge/traced module, Caffe, ONNX, TFLite

Best MegEngine alternatives

See all 12

NVIDIA Triton Inference Server 0 of 4 in the starter kit Lesson 17.5 ONNX Runtime 0 of 4 in the starter kit Lesson 27.5 Amazon SageMaker Autopilot 0 of 4 in the starter kit Lesson 37.4 Paperspace Gradient 0 of 4 in the starter kit Lesson 47.4 Apache TVM 0 of 4 in the starter kit Lesson 57.3 MATLAB Grader 0 of 4 in the starter kit Lesson 67.3

The record

Purpose: MegEngine is a fast, scalable deep learning framework with automatic differentiation.
Training and inference: The framework uses one model for both training and inference, including quantization and dynamic shapes.
GPU memory: The project says enabling DTR can reduce GPU memory use to one-third of the original.
Inference hardware: The project describes inference support across x86, Arm, CUDA and ROCm.
Install platforms: Python packages are listed for 64-bit Linux and Windows, macOS 10.14+ and Android 7+, with macOS and Android limited to CPU-only installation.
Install requirements: The installation guide lists Python 3.6–3.9 and says GPU use requires compatible device drivers.
Deployment runtimes: MegEngine Lite offers C/C++, Rust and Python runtimes for model deployment.
Integrations: MegFile provides Python file interfaces for S3, HTTP and local files.
Model conversion: MgeConvert converts between MegEngine and third-party model formats.
Video processing: MegFlow is a streaming computation framework for AI applications.
Security guidance: MegEngine advises users to check environment, model, data and privacy risks and recommends sandboxing models from other sources.
Vulnerability reporting: The security page directs vulnerability reports to [email protected] and says the team replies within 24 hours of receiving a report.
Support: The project lists GitHub issues, a forum, QQ group and [email protected] for contact.
Intended users: The official site presents tutorials for beginners and advanced developers and describes the framework as supporting model development through deployment.
Price from: Free

Where it ranks on The Geeks Club

Best Deep Learning Software in 2026#9 of 36

Is MegEngine yours?

Claim it for free: prove the domain, then correct facts, plans and screenshots. An editor reviews every change.

Claim it free Promote MegEngine

Sources

github.com/MegEngine/MegEngine· checked 2 Oct 2026
megengine.org.cn/doc/stable/zh/user-guide/install/index.· checked 2 Oct 2026
megengine.org.cn/ecology· checked 2 Oct 2026
megengine.org.cn/security· checked 2 Oct 2026
megengine.org.cn/megengine· checked 2 Oct 2026