Create rich web applications in PyShiny using styles and components from Semantic UI.
- Semantic Components Showcase
- T-Test Simulation Clone
This is an early Shiny-for-Python implementation of the official community fork of Semantic UI.
The repository contains a python package shiny_semantic and a PyShiny application (found in example folder) that serves as a simple demo of the implemented components.
The application is deployed on RSConnect and can be found at https://connect.appsilon.com/py_shiny_semantic/.
Fomantic UI is a well-maintained community fork of a more widely known and mature Semantic UI. This project uses JS, CSS and icons from Fomantic UI while referring to the name of the original library.
The structure of shiny_semantic follows the one of Fomantic UI -- this way users may easily refer to corresponding sections in the original documentation to learn about possible classes, styles and behaviors of the components.
shiny_semantic is available from the official PyPI distribution, and can be installed using pip. Please remember, that it is considered to be best practice to install packages in isolated virtual environments (see the next section).
pip install shiny_semantic
This will install both shiny and shiny_semantic - it is enough to start creating a Shiny application in Python.
In this project we used only those python tools that already come with a standard python distribution and should be immediately available to the developers. For package management we used pip, for virtual environment we used venv, and for unit tests we used unittest.
Please note, that some systems (e.g. macOS) have Python installed by default, and it may be accessible with python3 rather than just python. As soon as you init and source a venv, you will be able to call python with just python.
To start development, run the following command:
python -m venv .venv # creates virtual environment
source .venv/bin/activate # activates virtual environment
pip install -e ".[dev]This project uses pre-commit to ensure the quality of code style. Once the dependencies are restored, run the following command once:
pre-commit installTo run the app in the hot-reload mode (the app automatically reloads every time it detects changes in the python source code), run the following command:
shiny run --reload example
This project leverages bumpver to handle package versioning. To make sure that bumpver works, run the following commands:
pip install bumpver
bumpver update --patch --dry --no-fetchThis should provide the developer with a preview of changed lines across multiple files - where package version is mentioned. When local updates are fininshed, the developer might run:
bumpver update --patch # or --minor or --major, depending on the PR goalThis command will change the abovementioned string versions, create a commit with "bump version" message, create a git tag and will push changes to the remote. Developers will find a new version under "Releases" section on the Github page.
pip install build twine
# It is best to remove local dist folder, so that `twine` is not confused on which version to use
rm -rf dist
python -m build
twine check dist/*
# Currently, the package is published by [email protected]
twine upload dist/*The easiest way to replace the Fomantic assets with the new ones, is as follows:
- Navigate to https://www.jsdelivr.com/package/npm/fomantic-ui. This resource is recommended by the Fomantic team - it contains the latest version of the library files
- Download the entire folder as a .tgz archive
- Unpack the archive
- Find dist folder, grab the minimized versions of CSS and JS files and move them into shiny_semantic/www/semantic/
- In the same dist folder, locate the themes subfolder - open it
- Move the default folder into shiny_semantic/www/semantic/themes - this way Fomantic JS and CSS will be able to seamlessly pick up fonts and icons.