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MegEngine

MegEngine/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

GraphCanon updated 2w · GitHub synced 2w

4.8k stars548 forksLast push 1y C++ Apache-2.0

Decision brief

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。

Good fit when

  • - 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
  • - 如果您希望利用其强大的自动求导功能,来加速模型训练和优化过程

Avoid when

  • - 当您的项目严格要求与特定硬件或操作系统完全兼容但不在支持列表内时
  • - 如果您的开发环境是Python版本低于3.6或者高于3.9,并且没有在受支持的平台上,因为MegEngine对这些Python版本和平台的支持较差

Observed Jul 12, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Dormant (647d since push)
As of 2w
Provenance
Not a fork · Organization account
As of 2w
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/MegEngine/MegEngine

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

MegEngine 是一个用于深度学习的框架,支持自动求导,并适用于多种平台和环境。

Capability facts

Languages
c++

Source: github.language · Aug 3, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 3, 2026)

**NOTE:** MegEngine now supports Python installation on Linux-64bit/Windows-64bit/MacOS(CPU-Only)-10.14+/Android 7+(CPU-
Source link

Tags

README

Installation

NOTE: MegEngine now supports Python installation on Linux-64bit/Windows-64bit/MacOS(CPU-Only)-10.14+/Android 7+(CPU-Only) platforms with Python from 3.6 to 3.9. On Windows 10 you can either install the Linux distribution through Windows Subsystem for Linux (WSL) or install the Windows distribution directly. Many other platforms are supported for inference.


License

MegEngine is licensed under the Apache License, Version 2.0

For agents

This page has a .md twin and JSON over the API.

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