Add Project: awesome-streamlit

Basic info

Application name: Awesome Streamlit
Application repo link: https://github.com/marcskovmadsen/awesome-streamlit
Application home link: https://awesome-streamlit.org/
Application Docs: https://awesome-streamlit.readthedocs.io/
Application Docker Image: https://cloud.docker.com/u/marcskovmadsen/repository/docker/marcskovmadsen/awesome-streamlit
Application Package: https://pypi.org/project/streamlit/
Application description:

The purpose of the Awesome Streamlit Application is to share knowledge on how Awesome Streamlit is and can become as a technology for building (data) applications in Python.

This application provides

• A list of awesome Streamlit resources.
• A gallery of awesome streamlit applications.
• A vision on how awesome Streamlit can be.

Qualifications

• Free software with an online source repository.
• Using Python for a considerable part of their functionality.
• Well-known, or at least prominently used in an identifiable niche.
• Maintained or otherwise demonstrably still functional on relevant platforms.
• An application, not a library or framework.

The application and repo is new. But the reason why I believe this application is important is because it is the first application to take advantage of the Streamlit framework which has the potential to significantly lower the friction required to develop (applications) in Python.

It's so easy and awesome. See this 4 minute introduction to Streamlit

I believe the Streamlit Technology will foster a flood of awesome (micro) apps in Python. So the Streamlit technology is important to your list :-)

The application and repo already provides and will provide tons on information on how to develop, test, build and release these types of applications.

If you have helpfull helps or suggestions feel free to add them to the comments

Best regards and thanks.

Marc

Start by reviewing the repository's existing application-list structure and nearby entries, then use the linked Awesome Streamlit repository, home page, documentation, Docker image, and PyPI page to verify the submission. Done means adding an accurate Awesome Streamlit entry that satisfies the repository's application criteria; check the eight-comment thread first because this issue has been inactive for years.