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Metadata-Version: 2.1 Name: docker Version: 5.0.3 Summary: A Python library for the Docker Engine API. Home-page: https://github.com/docker/docker-py Maintainer: Ulysses Souza Maintainer-email: ulysses.souza@docker.com License: Apache License 2.0 Project-URL: Documentation, https://docker-py.readthedocs.io Project-URL: Changelog, https://docker-py.readthedocs.io/en/stable/change-log.html Project-URL: Source, https://github.com/docker/docker-py Project-URL: Tracker, https://github.com/docker/docker-py/issues Platform: UNKNOWN Classifier: Development Status :: 5 - Production/Stable Classifier: Environment :: Other Environment Classifier: Intended Audience :: Developers Classifier: Operating System :: OS Independent Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.6 Classifier: Programming Language :: Python :: 3.7 Classifier: Programming Language :: Python :: 3.8 Classifier: Programming Language :: Python :: 3.9 Classifier: Topic :: Software Development Classifier: Topic :: Utilities Classifier: License :: OSI Approved :: Apache Software License Requires-Python: >=3.6 Description-Content-Type: text/markdown Provides-Extra: ssh Provides-Extra: tls License-File: LICENSE # Docker SDK for Python [](https://github.com/docker/docker-py/actions/workflows/ci.yml/) A Python library for the Docker Engine API. It lets you do anything the `docker` command does, but from within Python apps – run containers, manage containers, manage Swarms, etc. ## Installation The latest stable version [is available on PyPI](https://pypi.python.org/pypi/docker/). Either add `docker` to your `requirements.txt` file or install with pip: pip install docker If you are intending to connect to a docker host via TLS, add `docker[tls]` to your requirements instead, or install with pip: pip install docker[tls] ## Usage Connect to Docker using the default socket or the configuration in your environment: ```python import docker client = docker.from_env() ``` You can run containers: ```python >>> client.containers.run("ubuntu:latest", "echo hello world") 'hello world\n' ``` You can run containers in the background: ```python >>> client.containers.run("bfirsh/reticulate-splines", detach=True) <Container '45e6d2de7c54'> ``` You can manage containers: ```python >>> client.containers.list() [<Container '45e6d2de7c54'>, <Container 'db18e4f20eaa'>, ...] >>> container = client.containers.get('45e6d2de7c54') >>> container.attrs['Config']['Image'] "bfirsh/reticulate-splines" >>> container.logs() "Reticulating spline 1...\n" >>> container.stop() ``` You can stream logs: ```python >>> for line in container.logs(stream=True): ... print(line.strip()) Reticulating spline 2... Reticulating spline 3... ... ``` You can manage images: ```python >>> client.images.pull('nginx') <Image 'nginx'> >>> client.images.list() [<Image 'ubuntu'>, <Image 'nginx'>, ...] ``` [Read the full documentation](https://docker-py.readthedocs.io) to see everything you can do.