openmim
MIM Installs OpenMMLab packages
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an OpenMMLab project to be installed or available; openmim is a launcher and package manager for those projects, not a standalone tool.
- 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 · maintenance · safety
(unclear) — License treatment is unclear; the fact sheet does not specify a license identifier. Verify the actual license before adopting in proprietary or restrictive contexts.
last release 2023-06-28 (1143 days) · last repo commit 2023-11-24 · 382 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 220,306 downloads/mo, #9,305 on PyPI
Alternatives
Verify before relying
pip install openmim
from mim import install
install('mmcls')- 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.
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 on it.
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
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.
Requires an OpenMMLab project to be installed or available; openmim is a launcher and package manager for those projects, not a standalone tool.
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')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 packagesClickcoloramamodel-indexopendatalabpandaspiprequestsrichtabulate |
| 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
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See also mmcv · mmengine · mmdet · dora-search · clearml-agent · nvidia-nvshmem-cu13 · azureml-core · OpenMM · openbb-fmp · mjlab