PyWhales
PyWhales is a typed Python wrapper around the external Docker CLI. It builds docker command lines, runs them as subprocesses, and returns the results as Python objects. It isn't an HTTP SDK and doesn't call the Docker Engine API.
Requirements
- Python 3.14.10 or newer, on Linux, macOS or Windows.
- The Docker CLI, installed separately. See the Docker CLI guide.
- A reachable Docker daemon for commands that talk to it.
- The Compose and Buildx plugins for the commands that use them (
docker.compose,docker.build).
Importing PyWhales or constructing a client doesn't check that the CLI, daemon or plugins are available. Problems show up when a command runs.
Install
uv pip install pywhales
Quickstart
from pywhales import docker
print(docker.run("hello-world", remove=True))
containers = docker.ps()
images = docker.image.list()
Building and Compose need local files: a Dockerfile for build (DockerClient.build is an alias for Buildx) and a Compose file for compose.
image = docker.build(".", tags="my-app:latest", load=True)
docker.compose.up(detach=True)
Custom configuration
docker is a shared default client. Create your own DockerClient to change its settings:
from pywhales import DockerClient
client = DockerClient(
context="my-context",
compose_files=["compose.yaml"],
default_timeout=30,
)
The Docker context must already exist. default_timeout is in seconds and bounds each local CLI launch. Expiry kills and reaps the local CLI process, but doesn't roll back work the daemon has already started.
Good to know
- Containers, images, volumes and other resources are typed handles. Reading a property may inspect the resource and cache the result briefly. Call
reload()when you want a fresh copy. - Streaming calls that own a process return iterators. Close them, or use them as context managers, if you stop reading early.
PYWHALES_DEBUG=1turns on execution diagnostics that withhold command arguments, environment values and captured output.DockerClient(raw_diagnostics=True)opts a single client into raw diagnostics, so use it only where its logs are safe to expose.- That redaction covers diagnostics only. Returned data, exception attributes and output PyWhales doesn't capture are not redacted.
More documentation
License
PyWhales is released under the MIT license. See LICENSE.
Metadata
Release files for pywhales 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pywhales-1.0.0.tar.gz | 298.4 kB | Without provenance | Details for pywhales-1.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pywhales-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for pywhales-1.0.0-py3-none-any.whl |
Total release size: 565.2 kB
Release files / pywhales-1.0.0.tar.gz
| Download URL | pywhales-1.0.0.tar.gz |
|---|---|
| Size | 298.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Release files / pywhales-1.0.0-py3-none-any.whl
| Download URL | pywhales-1.0.0-py3-none-any.whl |
|---|---|
| Size | 266.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Security for pywhales 1.0.0
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