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Decision brief
MMEngine, part of OpenMMLab, serves as a foundational library for training deep learning models with PyTorch in Python.
Good fit when
- - Use MMEngine when you are leveraging PyTorch and require a solid foundation for your deep learning model training processes.
- - It is ideal if you operate within the constraints of supported PyTorch versions (>=1.6, <=2.1) and Python versions (>=3.8, <=3.11).
Avoid when
- - Avoid using MMEngine if your project requires a Python version outside of the supported range (e.g., Python 3.12+).
- - If you are working with frameworks other than PyTorch, MMEngine might not be suitable as it is specifically optimized for PyTorch support.
- Pricing:
- freemium - The core functionality for model training offered through MMEngine is accessible without cost due to its licensing terms (Apache 2.0).
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (18d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- No criticals
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install mmengineSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
MMEngine, part of OpenMMLab, is a foundational library used for training deep learning models in Python, especially those involving PyTorch.
Capability facts
- Languages
- python
Source: github.language · Jul 31, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 31, 2026)
| MMEngine | PyTorch | Python |Source link
Tags
README
Installation
Supported PyTorch Versions
| MMEngine | PyTorch | Python |
|---|---|---|
| main | >=1.6 <=2.1 | >=3.8, <=3.11 |
| >=0.9.0, <=0.10.4 | >=1.6 <=2.1 | >=3.8, <=3.11 |
Before installing MMEngine, please ensure that PyTorch has been successfully installed following the official guide.
Install MMEngine
pip install -U openmim
mim install mmengine
Verify the installation
python -c 'from mmengine.utils.dl_utils import collect_env;print(collect_env())'
License
This project is released under the Apache 2.0 license.
For agents
This page has a .md twin and JSON over the API.