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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.
🏆 A ranked gallery of awesome streamlit apps built by the community
| Date | Stars |
|---|---|
| 2026-07-24 | 1403 |
| 2026-07-25 | 1403 |
| 2026-07-28 | 1403 |
| 2026-07-30 | 1403 |
| 2026-08-06 | 1403 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
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<h1 align="center">
best-of-streamlit
<br>
</h1>
<p align="center">
<strong>🏆 A ranked gallery of awesome streamlit apps built by the community.</strong>
</p>
<p align="center">
<a href="https://best-of.org" title="Best-of Badge"><img src="http://bit.ly/3o3EHNN"></a>
<a href="#-general-machine-learning" title="Project Count"><img src="https://img.shields.io/badge/projects-100-blue.svg?color=5ac4bf"></a>
<a href="#Contributing" title="Contributing"><img src="https://img.shields.io/badge/contributions-welcome-green.svg"></a>
<a href="https://github.com/jrieke/best-of-streamlit/releases" title="Updates"><img src="https://img.shields.io/github/release-date/jrieke/best-of-streamlit?color=green&label=updated"></a>
</p>
This curated list contains 100 [streamlit](https://www.streamlit.io/) apps from 9 categories, ranked by Github stars (in total, the projects have 17K stars!). To add or update a project, please read the instructions [at the end of this file](#Contributing). You can also browse other [🏆 best-of lists](https://best-of.org) or create [your own](https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md).
<br>
---
<h3 align="center"><a href="README-mobile.md">View mobile-optimized version</a></h3>
---
<br>
[🤖 General Machine Learning](#-general-machine-learning) | [📚 Natural Language Processing](#-natural-language-processing) | [👁️ Computer Vision](#-computer-vision) | [🎵 Audio](#-audio) | [🔬 Science & Technology](#-science--technology) | [💰 Business & Economy](#-business--economy) | [🚀 Non-ML Apps](#-non-ml-apps) | [🧰 Extensions & Components](#-extensions--components) | [🎈 Official Demos](#-official-demos)
<br>
## 🤖 General Machine Learning
<a href="#"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://traingenerator.jrieke.com/"><img width="256" height="144" src="https://github.com/jrieke/traingenerator/raw/main/docs/assets/demo.gif"></a><br><h3><a href="https://traingenerator.jrieke.com/">Traingenerator</a></h3><p>⭐ 990 · <a href="https://github.com/jrieke/traingenerator">:octocat: Code</a></p><p>A web app to generate template code for machine learning</p><p><sup>by <a href="https://github.com/jrieke">@jrieke</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/davidefiocco/streamlit-fastapi-model-serving"><img width="256" height="144" src="https://davidefiocco.github.io/images/2020-06-27-streamlit.png"></a><br><h3><a href="https://github.com/davidefiocco/streamlit-fastapi-model-serving">FastAPI Model Serving</a></h3><p>⭐ 110 · <a href="https://github.com/davidefiocco/streamlit-fastapi-model-serving">:octocat: Code</a></p><p>Simple web app example using streamlit and FastAPI to serve a PyTorch model</p><p><sup>by <a href="https://github.com/davidefiocco">@davidefiocco</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/madewithml/e2e-ml-app-pytorch"><img width="256" height="144" src="screenshots/0_default.png"></a><br><h3><a href="https://github.com/madewithml/e2e-ml-app-pytorch">E2E ML App w/ PyTorch</a></h3><p>⭐ 69 · <a href="https://github.com/madewithml/e2e-ml-app-pytorch">:octocat: Code</a></p><p>An end-to-end ML applications using PyTorch, W&B, FastAPI, Docker, Streamlit and Heroku...</p><p><sup>by <a href="https://github.com/madewithml">@madewithml</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/cceyda/torchserve-dashboard"><img width="256" height="144" src="https://github.com/cceyda/torchserve-dashboard/raw/master/assets/dashboard_demo.gif"></a><br><h3><a href="https://github.com/cceyda/torchserve-dashboard">Torchserve Dashboard</a></h3><p>⭐ 35 · <a href="https://github.com/cceyda/torchserve-dashboard">:octocat: Code</a></p><p>Management Dashboard for Torchserve</p><p><sup>by <a Excerpt of 65,127 characters
Read on GitHub
Johannes Rieke · @streamlit · Germany
107
2
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:0376493f8288cca1, topic:deep-learning
matched fp:0376493f8288cca1, topic:streamlit