A repository of awesome Panel data app examples.

The source files are available in the src folder.

The apps are converted to webassembly and released to awesome-panel.github.io/examples/ as simple as

1. $ panel convert app.py (1 second)
2. $ git push (1 second)

This is THE FASTEST WAY TO DEPLOY DATA APPS in Python.

The apps are very performant when loaded because there is no latency for communication between server and client.

BUT the apps take time to load as they need to download a Python runtime and additional packages (50MB per app).

This is THE FUTURE OF DATAVIZ in Python.

If you like Panel and Awesome Panel please support the projects by giving them a ⭐ on Github

⭐ holoviz/panel ⭐ awesome-panel/awesome-panel ⭐ awesome-panel/examples

Thanks 👍

git clone https://github.com/awesome-panel/examples.git

Create and activate a virtual environment, c.f. Python Virtual Environments: A Primer.

Install the requirements.txt file

pip install -r requirements.txt -U

You can serve for example the hello-world application on your Panel server via

panel serve src/hello-world/app.py --autoreload

It will be available at http://localhost:5006/app.

You can panel convert for example the hello-world application to webassembly via

panel convert src/hello-world/app.py --to pyodide-worker --out docs/hello-world

If you want to avoid repeating the big download over and over again, you can even convert to a progressive web app that can be installed on your laptop! It is as simple as adding the --pwa and --title flags.

Check out the Panel WebAssembly Guide for more details.

python3 -m http.server

The app is now available at http://localhost:8000/docs/hello-world/app.html

You can learn how to configure Github Pages in general via the Quickstart for Github Pages.

The Github Pages of awesome-panel/examples is configured as described below

1. Add a .nojekyll file push all changes.
2. Navigate to the Settings page
3. Navigate to the Pages page
4. Configure your Pages Settings as shown below

Git add, commit, push and merge your PR as you would normally do.

The applications are now available at awesome-panel.github.io/examples/ or similar.

The below instructions are preliminary and for the project contributors

panel convert src/hello-world/app.py --to pyodide-worker --out docs/hello-world
panel convert src/streaming-indicators/app.py --to pyodide-worker --out docs/streaming-indicators
panel convert src/stumpy-dashboard/app.py --to pyodide-worker --out docs/stumpy-dashboard
panel convert src/videostream-interface/app.py --to pyodide-worker --out docs/videostream-interface --requirements src/videostream-interface/requirements.txt
python src/index/index.py

python3 -m http.server

http://localhost:8000/docs/index.html