---
id: openmim
version: "0.3.9"
license: unclear
license_treatment: unclear
maintenance: dormant
---

# openmim — MIM Installs OpenMMLab packages

License: unclear · Maintenance: dormant · Downloads: 220.3K/mo

## 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 above — 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

pip install openmim
uv add openmim
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_current
- Install friction: low
- Maintenance: dormant
- Downloads: 220.3K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

openmmlab package manager, install openmmlab projects, manage model checkpoints, unified openmmlab entrypoint, openmmlab model zoo download, train test inference, openmmlab package installation, openmmlab, model-zoo, package-manager

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