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A Python-powered slideshow creator with steroids.
See the demo at auditorium-demo.apiad.net.
Auditorium is a Python-powered slideshow generator. You write pure Python code, and obtain an HTML+JavaScript slideshow (using the amazing reveal.js library). The awesomeness comes from the fact that your Python backend is connected to the slideshow frontend, which allows your slideshow to dynamically change according to user input or automatically.
This opens the door to a few interesting use cases:
matplotlib
, bokeh
, altair
, plotly
, or any visualization package that produces HTML output.And all of this without writing a single line of HTML or JavaScript.
Alternatively, if you need little to no Python code, you can author your slideshow in pure Markdown and add some Python sprinkless here and there when necessary.
Simply run:
pip install auditorium[server]
To see a quick demo run:
auditorium demo
And point your browser at localhost:6789.
If you want to quickly grok auditorium
, the best option is to look at the demo online and then
read the source code. This way you will both see the end result and what effort it takes to get there.
auditorium
.If you have a slideshow to showcase here, feel free to edit this Readme and send a pull request. Add your website, Github repository, and any other information.
If you feel like sending some support please consider adding a badge somewhere in your website or repository:
<a href="https://apiad.net/auditorium">
<img alt="Made with Auditorium"
src="https://img.shields.io/badge/made--with-auditorium-blue">
</img>
</a>
It looks like this:
See the docs.
License is MIT, so you know the drill: fork, develop, add tests, pull request, rinse and repeat. See collaboration details in the docs.
FAQs
A Python-powered slideshow maker with steroids.
We found that auditorium demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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