A Python library for the Docker Engine API
See the codeA 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.
The latest stable version is available on PyPI. Install with pip:
pip install docker
Older versions (< 6.0) required installing
docker[tls]for SSL/TLS support. This is no longer necessary and is a no-op, but is supported for backwards compatibility.
Connect to Docker using the default socket or the configuration in your environment:
import docker
client = docker.from_env()
You can run containers:
>>> client.containers.run("ubuntu:latest", "echo hello world")
'hello world\n'
You can run containers in the background:
>>> client.containers.run("bfirsh/reticulate-splines", detach=True)
<Container '45e6d2de7c54'>
You can manage containers:
>>> 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:
>>> for line in container.logs(stream=True):
... print(line.strip())
Reticulating spline 2...
Reticulating spline 3...
...
You can manage images:
>>> client.images.pull('nginx')
<Image 'nginx'>
>>> client.images.list()
[<Image 'ubuntu'>, <Image 'nginx'>, ...]
Read the full documentation to see everything you can do.
(top 24 of 35)
249 followers · starred Jan 2018
366 followers · starred Sep 2014
91 followers · starred Sep 2025
377 followers · starred Aug 2018
A Python library for the Docker Engine API
See the codeA 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.
The latest stable version is available on PyPI. Install with pip:
pip install docker
Older versions (< 6.0) required installing
docker[tls]for SSL/TLS support. This is no longer necessary and is a no-op, but is supported for backwards compatibility.
Connect to Docker using the default socket or the configuration in your environment:
import docker
client = docker.from_env()
You can run containers:
>>> client.containers.run("ubuntu:latest", "echo hello world")
'hello world\n'
You can run containers in the background:
>>> client.containers.run("bfirsh/reticulate-splines", detach=True)
<Container '45e6d2de7c54'>
You can manage containers:
>>> 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:
>>> for line in container.logs(stream=True):
... print(line.strip())
Reticulating spline 2...
Reticulating spline 3...
...
You can manage images:
>>> client.images.pull('nginx')
<Image 'nginx'>
>>> client.images.list()
[<Image 'ubuntu'>, <Image 'nginx'>, ...]
Read the full documentation to see everything you can do.
(top 24 of 35)
249 followers · starred Jan 2018
366 followers · starred Sep 2014
91 followers · starred Sep 2025
377 followers · starred Aug 2018