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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
| Date | Stars |
|---|---|
| 2026-07-24 | 2275 |
| 2026-07-25 | 2275 |
| 2026-07-28 | 2275 |
| 2026-07-30 | 2275 |
| 2026-08-06 | 2275 |
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# Awesome Streamlit [](https://github.com/MarcSkovMadsen/awesome-streamlit) [<img src="https://github.com/MarcSkovMadsen/awesome-streamlit/blob/master/assets/streamlit-logo.png?raw=true" align="right" height="75" width="75">](https://streamlit.io) > The fastest way to build **Awesome Tools and Apps**! Powered by **Python**! The purpose of this project is to share knowledge on how Awesome [Streamlit](https://streamlit.io/) is and can become. [Pull requests](https://github.com/MarcSkovMadsen/awesome-streamlit/pulls) are very welcome! Streamlit has just been [announced](https://towardsdatascience.com/coding-ml-tools-like-you-code-ml-models-ddba3357eace) (Oct 2019) but I see the potential of becoming the **Iphone of Data Science Apps**. And maybe it can even become the Iphone of Technical Writing, Code, Micro Apps and Python. This project provides - A curated [list](https://github.com/MarcSkovMadsen/awesome-streamlit#awesome-resources) of Awesome Streamlit **resources**. See below. - An [**awesome Streamlit application**](https://awesome-streamlit.org) with a **gallery** of Awesome Streamlit Apps. - Feel free to add your awesome app to the gallery via a [Pull request](https://github.com/MarcSkovMadsen/awesome-streamlit/pulls). It's easy (see below). - A [**vision**](https://github.com/MarcSkovMadsen/awesome-streamlit/blob/master/AWESOME-STREAMLIT.md) on how awesome Streamlit is and can become. - A **best practices** example and **starter template** of an awesome, multipage app with an automated CI/ CD pipeline, deployed to the cloud and running in a Docker container. Visit the app at [awesome-streamlit.org](https://awesome-streamlit.org)!  ## The Magic of Streamlit The only way to truly understand how magical Streamlit is to play around with it. But if you need to be convinced first, then here is the **4 minute introduction** to Streamlit! Afterwards you can go to the [Streamlit docs](https://streamlit.io/docs/) to get started. You might also visit [Awesome Streamlit docs](https://awesome-streamlit.readthedocs.io/en/latest/). [](https://www.youtube.com/watch?v=B2iAodr0fOo&feature=youtu.be "Introduction to streamlit") ## Awesome Resources A curated list of awesome streamlit resources. Inspired by [awesome-python](https://github.com/vinta/awesome-python) and [awesome-pandas](https://github.com/tommyod/awesome-pandas). ### Alternative - [Bokeh](https://bokeh.pydata.org/en/latest/index.html) (#Alternative) - [Jupyter Voila](https://blog.jupyter.org/and-voil%C3%A0-f6a2c08a4a93) (#Alternative) - [Panel](http://panel.pyviz.org/) (#Alternative) - [Plotly Dash](https://plot.ly/dash/) (#Alternative) ### App - [Hello-streamlit deployed on Glitch](https://glitch.com/~hello-streamlit) by [Alexander Garcia](https://github.com/djauxel) (#App, #Deployment) - [How to create and deploy data exploration web app easily using python](https://github.com/robmarkcole/mqtt-camera-streamer) (#App, #Code, #Deployment) - [Kaggle Mushrooms Dashboard](https://github.com/pierpaolo28/Data-Visualization/tree/master/Streamlit) (#App) - [NLP Based App with Streamlit](https://github.com/Jcharis/Streamlit_DataScience_Apps/tree/master/NLP_App_with_Streamlit_Python) by [Jesse E. Agbe (JCharis)](https://github.com/Jcharis) (#App, #Code) - [Powering up Apache JMeter with Streamlit](https://qainsights.com/apache-jmeter-with-streamlit-for-machine-learning/) by [Naveen Kumar](https://github.com/QAInsights) (#App, #Code) - [Quickly Build and Deploy a Dashboard with Streamlit](https://towardsdatascience.com/
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JCharis Jesse · JCharisTech
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:ba0bf31c02d5aa2c, topic:finance, topic:trading
matched fp:ba0bf31c02d5aa2c, topic:streamlit
matched fp:ba0bf31c02d5aa2c, topic:awesome-list, readme:curated list