python-magnumclient
Client library for Magnum API
Decision gist · record as of 2026-08-14
Yes, if you manage container clusters on OpenStack. The package is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. It is the standard client for Magnum API interaction. Install only if you have a Magnum deployment or plan to use OpenStack container services.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an accessible Magnum API endpoint and valid OpenStack credentials (typically via environment variables or keystone authentication).
- Low install friction with a pure-Python wheel.
- Active maintenance (last release 42 days ago).
License · maintenance · safety
permissive license (permissive) — Licensed under Apache License, Version 2.0 (permissive). No restrictions on use, modification, or distribution in commercial or private projects.
last release 2026-07-03 (42 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 111,764 downloads/mo, #12,400 on PyPI
Alternatives
Verify before relying
pip install python-magnumclient
from magnumclient import client
mgm_client = client.Client('1', endpoint='http://magnum-api/v1')- Specific Magnum API versions supported by this client release
- Whether the package works with non-OpenStack Magnum deployments
- Performance characteristics under high-volume API calls
What it is and what it does
python-magnumclient is a Python library and CLI tool that wraps the OpenStack Magnum API, which manages container cluster infrastructure. It lets you programmatically provision, configure, and manage container clusters on OpenStack infrastructure. The package provides both a Python module for scripting and a command-line interface (magnum command) for interactive cluster operations.
The client handles authentication via keystoneauth1, serialization via oslo libraries, and integrates with the broader OpenStack SDK ecosystem. It depends on 13 runtime packages including requests for HTTP, cryptography for security operations, and PrettyTable for formatted CLI output. The package supports Python 3.8, 3.9, 3.10, and 3.11 and is actively maintained by the OpenStack community.
Use it for
- Automate provisioning of container clusters on OpenStack infrastructure via Python scripts
- Manage container cluster lifecycle (create, update, delete) from CI/CD pipelines
- Query and monitor cluster status and node information programmatically
- Integrate container orchestration into larger OpenStack infrastructure-as-code workflows
- Use the magnum CLI tool to interactively manage clusters from the command line
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you manage container clusters on OpenStack.
The package is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. It is the standard client for Magnum API interaction. Install only if you have a Magnum deployment or plan to use OpenStack container services.
Install
python-magnumclient on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance (last release 42 days ago). Depends on 13 runtime packages including core OpenStack libraries (keystoneauth1, openstacksdk, osc-lib) and standard utilities, all of which are well-maintained.
Requires an accessible Magnum API endpoint and valid OpenStack credentials (typically via environment variables or keystone authentication).
License in practice
Licensed under Apache License, Version 2.0 (permissive). No restrictions on use, modification, or distribution in commercial or private projects.
Quickstart
pip install python-magnumclient
from magnumclient import client
mgm_client = client.Client('1', endpoint='http://magnum-api/v1')Verify before relying
- Specific Magnum API versions supported by this client release
- Whether the package works with non-OpenStack Magnum deployments
- Performance characteristics under high-volume API calls
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 13 packagespbrkeystoneauth1stevedorerequestsoslo.i18noslo.logoslo.serializationoslo.utilsopenstacksdkosc-libPrettyTablecryptographydecorator |
| Maintenance | Actively maintained 42 days since the last release |
| First released | |
| Downloads | 111,764 / month, #12,400 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Environment :: OpenStackIntended Audience :: Information TechnologyIntended Audience :: System AdministratorsLicense :: OSI Approved :: Apache Software LicenseOperating System :: POSIX :: LinuxProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPython |
Evidence: python_magnumclient-4.11.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “openstack magnum client”
- python-magnumclientPython bindings and command-line tool for the OpenStack Magnum API,…
- python-zaqarclientPython client library for the OpenStack Zaqar messaging API,…
- python-octaviaclientpython-octaviaclient is an OpenStack Client plugin that provides…
Give your agent the search over MCP, or paste the wish link into any chat.
More Distributed Computing packages
gRPC Python is an HTTP/2-based RPC framework that enables you to define and call remote procedures across network boundaries using protocol buffers for serialization.
Install it if you need RPC communication in a distributed system or are integrating with existing gRPC services.
execnet lets you spawn and communicate with Python interpreters across local processes, remote hosts, and different platforms, using a simple API for task distribution and inter-process messaging.
However, the aging maintenance status (275 days since last release) means you should verify it meets your concurrency and performance needs before committing to a…
Cloudpickle extends Python's standard pickle module to serialize lambda functions, interactively-defined functions and classes, and other constructs that the default pickle cannot handle, making it suitable for cluster computing and remote code execution.
Install it if you need to serialize lambda functions, interactively-defined code, or non-standard Python constructs for cluster computing or distributed execution.
Provides a unified, open()-compatible Python API for streaming large files from remote storage (S3, GCS, Azure, HDFS, SFTP, HTTP) and local filesystems, with transparent compression support.
Install it if you work with large files on cloud storage or remote systems and want to avoid writing boilerplate around multiple SDKs.
Portalocker provides cross-platform file locking with support for exclusive and shared locks, plus Redis-based distributed locks and process-aware PID file locking.
Install it if you need file or process coordination; the optional extras (pywin32, redis) are only required for specific lock types.
Ray is a distributed computing framework that scales Python applications from a single machine to multi-node clusters, providing abstractions for parallel tasks, stateful actors, and shared objects.
See also python-heatclient · python-swiftclient · python-novaclient · python-troveclient · python-neutronclient · python-designateclient · argo-workflows · kcli · assisted-service-client · stackit-objectstorage