dockerfile-kernel
This implements a JupyterLab kernel to interpret Dockerfiles.
Features
- Line-based execution of Dockerfiles in JupyterLab
- Conveniently launch shell sessions running in a container created from the current image by clicking on a button.
- Command auto-completion
- Syntax Highlighting
- Help text integration with the
?operation - Export and Import from Dockerfiles
- Custom magics for e.g.
- Tag the current Docker image with
%tag myimage:latest - Easily follow best practices of installation with
%install apt <packagename>(will expand to aRUNcommand doing all the required setup and cleanup). Also implemented forpipandnpm. - Manipulate build arguments with
%arg - Get an overview of existing build stages with
%stages - Manipulate the build context with
%context
- Tag the current Docker image with
Prerequisites
- Currently, only Linux is supported
- Docker needs to be installed
- The user needs to be in the
dockergroup (see e.g. here) - JupyterLab >= 4.0.0 needs to be installed
Installation
With pip:
python -m pip install dockerfile-kernel
python -m dockerfile_kernel.install
With conda:
conda install -c conda-forge dockerfile-kernel
Execution
jupyter lab
Metadata
Release files for dockerfile-kernel 0.1.2
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 |
|---|---|---|---|---|
| dockerfile_kernel-0.1.2.tar.gz | 7.2 MB | Without provenance | Details for dockerfile_kernel-0.1.2.tar.gz |
Release files / dockerfile_kernel-0.1.2.tar.gz
| Download URL | dockerfile_kernel-0.1.2.tar.gz |
|---|---|
| Size | 7.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6656b96ba2b319baf2e01725a5ba14e2bca81362fb62860b598757c28cb7d61d
|
|
BLAKE2b-256 checksum How to use checksums |
b2a0be494ef2c9ec6dcfaf655a494a6bae0d74b917c7bd271c2db006ce9a33cb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|
Security for dockerfile-kernel 0.1.2
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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