GitHub
github.com › docker › docker-py
GitHub - docker/docker-py: A Python library for the Docker Engine API · GitHub
A Python library for the Docker Engine API. Contribute to docker/docker-py development by creating an account on GitHub.
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Languages Python
Bhaskarvk
bhaskarvk.github.io › docker
Wraps Docker Python SDK • docker
if(!require(devtools)) { install.packages("devtools") } devtools::install_github('bhaskarvk/docker') Before you can use this package you need to have Python 2.x (>=2.7) or Python 3.x (>=3.4) with the docker Python module which provides Python SDK for docker. A simple way to do this is using a virtual environment.
Videos
Docker Docs
docs.docker.com › reference › docker engine api › sdk
SDK | Docker Docs
As an example, the docker run command can be implemented using the Docker API directly, or using the Python or Go SDK. Go Python HTTP · package main import ( "context" "io" "os" "github.com/moby/moby/api/pkg/stdcopy" "github.com/moby/moby/api/types/container" "github.com/moby/moby/client" ) func main() { ctx := context.Background() apiClient, err := client.New(client.FromEnv) if err != nil { panic(err) } defer apiClient.Close() reader, err := apiClient.ImagePull(ctx, "docker.io/library/alpine", client.ImagePullOptions{}) if err != nil { panic(err) } io.Copy(os.Stdout, reader) resp, err := api
Docker Docs
docs.docker.com › reference › docker engine api › sdk › examples
Examples using the Docker Engine SDKs and Docker API
Each of these examples show how to perform a given Docker operation using the Go and Python SDKs and the HTTP API using curl. This first example shows how to run a container using the Docker API. On the command line, you would use the docker run command, but this is just as easy to do from your own apps too. This is the equivalent of typing docker run alpine echo hello world at the command prompt: ... package main import ( "context" "io" "log" "os" "github.com/moby/moby/api/pkg/stdcopy" "github.com/moby/moby/api/types/container" "github.com/moby/moby/client" ) func main() { ctx := context.Back
GitHub
github.com › aio-libs › aiodocker
GitHub - aio-libs/aiodocker: Python Docker API client based on asyncio and aiohttp · GitHub
Python Docker API client based on asyncio and aiohttp - aio-libs/aiodocker
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Languages Python
GitHub
github.com › bfirsh › docker-sdk-python
GitHub - bfirsh/docker-sdk-python: WIP
August 30, 2016 - WIP. Contribute to bfirsh/docker-sdk-python development by creating an account on GitHub.
Author bfirsh
Reddit
reddit.com › r/docker › docker python sdk maintenance: what’s the story?
r/docker on Reddit: Docker Python SDK Maintenance: What’s the Story?
May 16, 2025 -
I’ve been using the Docker Python SDK for a while, and it’s a fantastic tool - but I’ve noticed the GitHub repo has ~500 open issues (some from 5+ years ago) and ~90 unreviewed PRs, including small but impactful fixes.
I understand maintainers are volunteers, often busy, but it’s unusual to see such a critical project with so little activity. Does anyone know if there’s a reason for the slow review process? Is the team understaffed, or is there a shift in focus away from this SDK?
I’ve submitted a few changes myself, that would be helpful for my work, but they’ve been waiting for months. Just curious if there’s a way to help move things forward—maybe more contributors are needed?
Thanks for any insights!
GitHub
github.com › topics › python-docker
python-docker · GitHub Topics · GitHub
February 4, 2021 - A simple Docker sandbox example and a ready-to-use autograder API. Based on asynchronous FastAPI and disposable Docker containers. Three modes of operation: Python subprocess, Python Docker SDK and Python on Whales.
GitHub
github.com › rwth-iat › basyx-python-sdk-http-server-docker
GitHub - rwth-iat/basyx-python-sdk-http-server-docker
November 28, 2024 - This repository is deprecated! Please use the offical BaSyx-Python SDK server implementation. This repository contains a Dockerfile to spin up an exemplary HTTP/REST server following the Specification of the AAS Part 2 API with ease.
Author rwth-iat
Docker
docker-py.readthedocs.io
Docker SDK for Python — Docker SDK for Python 7.1.0 documentation
A Python library for the Docker Engine API.
GitHub
github.com › topics › docker-python
docker-python · GitHub Topics · GitHub
Docker image for Wine+Python runtime. Minimum image for python runtime · docker docker-image docker-python docker-wine python310 docker-wine-python wine-python
GitHub
gist.github.com › darkn3rd › 6644787a39e707243a19c4d1780d9fcf
Docker Run using Python SDK · GitHub
Docker Run using Python SDK. GitHub Gist: instantly share code, notes, and snippets.
Fedorkobak
fedorkobak.github.io › python › packages › docker_sdk.html
Docker SDK — Python
There is a Python library that ... using Python docker-py. Note: These examples should to be run in safe environment - it may inadvertently change the docker setup. Basically, use docker in docker image built from this docker file. ... As an introduction, consider the really basic operations of working with Docker - how they can be performed using the docker sdk...
Wwt
wwt.github.io › building-a-python-sdk › module-0
Setup - Build a Python SDK
STEP 1. NAVIGATE to the repo on GitHub building-a-python-sdk (Login to GitHub if required) STEP 2. CLICK the Code button · STEP 3. SELECT the transport (HTTPS or SSH) STEP 4. CLICK the Copy icon · STEP 5. OPEN a new Terminal · STEP 6. PASTE git clone plus that string into your Terminal ...
Stack Overflow
stackoverflow.com › questions › 63134782 › building-docker-image-using-a-remote-docker-file-in-github-using-python-sdk
building docker image using a remote docker file in github using python sdk - Stack Overflow
July 28, 2020 - import io from github import Github import docker # docker client client = docker.from_env() # github repo g = Github(base_url=url, login_or_token=accessToken, verify=False) dmc = g.get_organization(org_name) repo = dmc.get_repo(repoName) contents = repo.get_contents(dockerfile_name, "master") # decoding contents of file and creating file obj out of it decoded_content_str = contents.decoded_content.decode('utf-8') contents_file_obj = io.StringIO(decoded_content_str) # building image out of contents file obj client = docker.from_env() image, build_log = client.images.build( fileobj=contents_fil
GitHub
github.com › docker › docker-py › blob › main › docker › client.py
docker-py/docker/client.py at main · docker/docker-py
s.append("In Docker SDK for Python 2.0, this method is now on the " "object APIClient. See the low-level API section of the " "documentation for more details.") raise AttributeError(' '.join(s)) ·
Author docker
Bhaskarvk
bhaskarvk.github.io › docker › reference › docker.html
docker. Wraps Docker Python SDK. — docker • docker
Allows accessing Docker SDK from R via the Docker Python SDK using the reticulate package.
Google
chromium.googlesource.com › external › github.com › docker › docker-py
external/github.com/docker/docker-py - Git at Google
chromium / external / github.com / docker / docker-py · Clone this repo: 3.7.0-release · 3.7.3-release · 4.0.2-release · 4.1.0-release · 4.3.0-release · 4.3.1-release · 4.4.0-release · 4.4.2-release · 4.4.3-release · 4.4.4-releaseMore... 7.1.0 · 7.0.0 ·
GitHub
github.com › docker › python-dockercloud
GitHub - docker-archive/python-dockercloud: Python library for Docker Cloud
Python library for Docker Cloud. Contribute to docker-archive/python-dockercloud development by creating an account on GitHub.
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Languages Python 100.0% | Python 100.0%
Top answer 1 of 2
5
I created a package to make this easy: python-on-whales
Install with
pip install python-on-whales
Then you can do
from python_on_whales import docker
docker.compose.up()
docker.compose.stop()
# and all the other commands.
You can find the source for the package in my GitHub repository: https://gabrieldemarmiesse.github.io/python-on-whales/
2 of 2
2
I am working on the same issue and was looking for answers, but nothing so far. The best shot I can give it is to simplify that docker-compose logic. For example, you have a YAML file with a network and services - create them separately using Python Docker SDK and connect containers to a network.
It gets cumbersome, but eventually you can get things working that way from Python.