osc-placement
OpenStackClient plugin for the Placement service
Decision gist · record as of 2026-08-14
Yes, if you operate an OpenStack environment and need CLI access to the Placement service. The package has low install friction, active maintenance, permissive licensing, and no known vulnerabilities. Install only if you are already using OpenStackClient and need placement-specific commands; it is not useful outside an OpenStack context.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later and an OpenStackClient installation with access to a Placement service endpoint.
- Low install friction with a pure-Python wheel distribution.
- Maintenance status is active with a recent release (44 days ago).
License · maintenance · safety
permissive license (permissive) — Licensed under Apache (permissive), meaning you can use, modify, and distribute this package freely with minimal restrictions typical of permissive open-source licenses.
last release 2026-07-01 (44 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 87,022 downloads/mo, #13,820 on PyPI
Alternatives
Verify before relying
pip install osc-placement
After installation, the placement commands become available within openstack CLI:
openstack placement resource class list- Whether this plugin requires a running OpenStack Placement service to be useful or if it can operate in offline/testing modes.
- Specific Placement API versions or OpenStack releases this plugin version targets.
- Whether the REST API must be directly accessible or if the plugin abstracts that requirement.
What it is and what it does
osc-placement is an OpenStackClient plugin that adds command-line commands for interacting with the OpenStack Placement service. Rather than providing a Python API binding, it focuses on CLI convenience for users who need to manage placement operations from the shell. The plugin integrates with the OpenStackClient framework and relies on the REST API directly, meaning you invoke placement operations as CLI commands rather than through Python method calls.
The package depends on pbr, keystoneauth1, osc-lib, and oslo.utils. It requires Python 3.11 or later and is actively maintained. The plugin is designed for system administrators and operators working with OpenStack infrastructure who prefer command-line tools over programmatic access.
Use it for
- Managing resource placement policies and constraints from the command line in an OpenStack environment.
- Querying placement service state and resource allocations as part of infrastructure automation scripts.
- Troubleshooting placement-related issues by inspecting placement data directly via CLI commands.
- Integrating placement operations into shell-based deployment or management workflows.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you operate an OpenStack environment and need CLI access to the Placement service.
The package has low install friction, active maintenance, permissive licensing, and no known vulnerabilities. Install only if you are already using OpenStackClient and need placement-specific commands; it is not useful outside an OpenStack context.
Install
osc-placement on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Maintenance status is active with a recent release (44 days ago). Dependencies are standard OpenStack ecosystem packages.
Requires Python 3.11 or later and an OpenStackClient installation with access to a Placement service endpoint.
License in practice
Licensed under Apache (permissive), meaning you can use, modify, and distribute this package freely with minimal restrictions typical of permissive open-source licenses.
Quickstart
pip install osc-placement
After installation, the placement commands become available within openstack CLI:
openstack placement resource class listVerify before relying
- Whether this plugin requires a running OpenStack Placement service to be useful or if it can operate in offline/testing modes.
- Specific Placement API versions or OpenStack releases this plugin version targets.
- Whether the REST API must be directly accessible or if the plugin abstracts that requirement.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagespbrkeystoneauth1osc-liboslo.utils |
| Maintenance | Actively maintained 44 days since the last release |
| First released | |
| Downloads | 87,022 / month, #13,820 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 :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPython |
Evidence: osc_placement-4.9.0-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 placement cli”
- osc-placementProvides a command-line interface to the OpenStack Placement service…
- os-traitsos-traits provides a standardized catalog of trait strings used by…
- os-resource-classesProvides a standardized collection of resource class symbols for…
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 osc-lib · python-openstackclient · os-traits · python-octaviaclient · os-resource-classes · python-swiftclient · python-novaclient · python-ironicclient · python-heatclient · python-neutronclient