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podman

Bindings for Podman RESTful API

Worth itPyPI Python ModulesReleased Mar 2026706.7K downloads / mopermissive licensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — podman-5.8.0-py3-none-any.whl
v5.8.0 · released 2026-03-25 · Python >=3.9 · 3 runtime deps: requests, tomli, urllib3

Yes. The package is actively maintained, has no known vulnerabilities, installs with low friction, uses a permissive Apache 2.0 license, and supports current Python versions (3.9–3.13). Install it if you need programmatic control over Podman from Python; skip it if you only use Podman via the CLI or don't need container automation in your codebase.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires a running Podman daemon accessible via Unix socket or TCP; the package currently supports Unix domain sockets only.
  • Low install friction with a pure-Python wheel distribution.
  • Maintenance is active with a recent release and ongoing repository activity.

License · maintenance · safety

permissive license (permissive) — Licensed under Apache License 2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions beyond attribution and license inclusion.

last release 2026-03-25 (142 days) · last repo commit 2026-08-14 · 377 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 706,658 downloads/mo, #5,272 on PyPI

Verify before relying

pip install podman

from podman import PodmanClient

uri = "unix:///run/user/1000/podman/podman.sock"
with PodmanClient(base_url=uri) as client:
    version = client.version()
    for image in client.images.list():
        print(image)
  • Whether TCP connection support is planned or available in versions beyond 5.8.0
  • Performance characteristics and latency overhead compared to direct Podman CLI invocation
  • Compatibility matrix with specific Podman daemon versions
Same gist for agents: .md · .json

What it is and what it does

Podman is a Python library that wraps the Podman container engine's RESTful API, letting you interact with containers and images from Python code instead of shell commands. It connects to a running Podman daemon (typically via a Unix socket) and provides object-oriented access to list, inspect, create, and manage containers and images. The library depends on requests, tomli, and urllib3 for HTTP communication and configuration parsing.

You use it by instantiating a PodmanClient with a URI pointing to your Podman daemon, then calling methods on that client to query or manipulate containers and images. The example in the documentation shows retrieving version info, listing images, iterating over containers, and checking their status. It's designed for developers who want to automate container operations from Python rather than shelling out to the Podman CLI.

Use it for

  • Automate container lifecycle management (start, stop, remove) from Python applications or scripts
  • Build container orchestration or monitoring tools that query Podman daemon state programmatically
  • Integrate container operations into CI/CD pipelines or deployment automation written in Python
  • Query container and image metadata (status, IDs, attributes) without parsing CLI output
  • Develop testing frameworks that spin up and tear down containers on demand via Python code

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

The package is actively maintained, has no known vulnerabilities, installs with low friction, uses a permissive Apache 2.0 license, and supports current Python versions (3.9–3.13). Install it if you need programmatic control over Podman from Python; skip it if you only use Podman via the CLI or don't need container automation in your codebase.

Install

podman on PyPI

Before you install

Low install friction with a pure-Python wheel distribution. Maintenance is active with a recent release and ongoing repository activity.

Requires a running Podman daemon accessible via Unix socket or TCP; the package currently supports Unix domain sockets only.

License in practice

Licensed under Apache License 2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions beyond attribution and license inclusion.

Quickstart

pip install podman

from podman import PodmanClient

uri = "unix:///run/user/1000/podman/podman.sock"
with PodmanClient(base_url=uri) as client:
    version = client.version()
    for image in client.images.list():
        print(image)

Verify before relying

  • Whether TCP connection support is planned or available in versions beyond 5.8.0
  • Performance characteristics and latency overhead compared to direct Podman CLI invocation
  • Compatibility matrix with specific Podman daemon versions

Package facts

Licensepermissive license permissive
Python supportSupports the current Python release >=3.9
Install frictionLow. Pure-Python wheel
Runtime dependencies
3 packages
requeststomliurllib3
MaintenanceActively maintained 142 days since the last release
Last repo commit
First released
Downloads706,658 / month, #5,272 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python Modules

Evidence: podman-5.8.0-py3-none-any.whl

Tags

Capabilities
podman python bindingscontainer management apipodman rest clientprogrammatic container controllibpod python librarypodman container orchestrationcontainer runtime python
Topics
container-managementrest-clientpodman
PyPI keywords
libpodpodman

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See also docker · podman-compose · docker-py · stackit-resourcemanager · opentelemetry-resourcedetector-kubernetes · splunk-sdk · pylxd · llm-sandbox · pytest-container · azure-mgmt-appcontainers