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openmim

MIM Installs OpenMMLab packages

openmim v0.3.9 220.3K downloads/30d#9,305 on PyPI382
License unclear DORMANT released

What it is and what it does

openmim is a package manager and unified launcher for OpenMMLab machine-learning projects. It abstracts away the complexity of installing, configuring, and running different OpenMMLab codebases by providing a single command-line interface and Python API. You can install OpenMMLab packages, search and download pre-trained model checkpoints from the model zoo, and execute training, testing, and inference scripts across different projects without rewriting boilerplate.

The package depends on Click, colorama, model-index, opendatalab, pandas, pip, requests, rich, and tabulate for CLI scaffolding, fetching remote metadata and checkpoints, displaying search results, and terminal formatting. It targets developers working with OpenMMLab frameworks who want to avoid manual dependency management and script integration across multiple repositories.

Use it for:

  • Install and manage multiple OpenMMLab codebases in a single environment without manual dependency resolution.
  • Search the OpenMMLab model zoo by model name, dataset, or training configuration, then download checkpoints by name.
  • Launch training, testing, or inference on a single machine or HPC cluster using unified commands.
  • Execute custom scripts provided by OpenMMLab projects through a single entrypoint with consistent argument handling.
  • Perform hyperparameter grid search across OpenMMLab training configurations using the gridsearch command.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

MIM provides a unified command-line and Python interface for installing, managing, and running OpenMMLab projects and their model checkpoints.

Yes, if you are actively developing with OpenMMLab projects and want to reduce boilerplate and dependency management overhead. Low install friction makes it easy to add. However, maintenance is dormant (last release 2023-06-28, no commits since 2023-11-24), so compatibility with very recent OpenMMLab releases is uncertain. Verify that your target versions are compatible before production use.

Install

openmim on PyPI

pip

pip install openmim

uv

uv add openmim

poetry

poetry add openmim

Installing openmim

Before you install

Low install friction with a pure-Python wheel distribution. Maintenance is dormant—last release was 2023-06-28 and the repository has not been updated since 2023-11-24, though it remains active with 382 stars.

License in practice

License treatment is unclear; the fact sheet does not specify a license identifier. Verify the actual license before adopting in proprietary or restrictive contexts.

Quickstart

pip install openmim

from mim import install

install('mmcls')

Requires an OpenMMLab project to be installed or available; openmim is a launcher and package manager for those projects, not a standalone tool.

Verify before relying

  • Whether the Apache 2.0 license mentioned in the description is authoritative given the unclear license_treatment in metadata.
  • Current maintenance status and whether dormancy affects compatibility with recent OpenMMLab releases.
  • Whether all 9 runtime dependencies are always required or conditionally loaded based on usage.

Package facts

License not declared (unclear)
Python support supports the current Python release (>=3.6)
Install friction low — pure-Python wheel
Runtime dependencies 9 — Click, colorama, model-index, opendatalab, pandas, pip, requests, rich, tabulate
Maintenance dormant — 1,143 days since the last release
Last repo commit
First released
Downloads 220,306/month — #9,305 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: openmim-0.3.9-py2.py3-none-any.whl

Tags

openmmlab package managerinstall openmmlab projectsmanage model checkpointsunified openmmlab entrypointopenmmlab model zoo downloadtrain test inferenceopenmmlab package installation
openmmlabmodel-zoopackage-manager

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