Streamlit
Turn python scripts into beautiful ML tools
Streamlit launched on October 4, 2019 with 96 votes, #353 of 3,363 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 7 years on.
What it does
Streamlit lets you create apps for your machine learning projects with deceptively simple Python scripts. Prototype quickly with hot-reloading, so your app updates live as you edit and save your file. Try it now: ⬇️ $pip install streamlit $streamlit hello
Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.
🎈 New in 1.62: client-side validation & specialized input types for st.text_input, wrap parameter for layouts, widgets & labels, + more! “ Write production-level code while producing shareable artifacts. ” “ ...a great way to share machine learning models and analyses. ” “ Streamlit apps are way easier to put together and iterate on. ” Really really pleased with @ streamlit so far. Used it to build a clickable prototype for a complex piece of a web application. It turned out faster and more flexible than everything else I could find. Highly recommended! # python # streamlit # prototyping Where were you my whole life @ streamlit I wanted someone like you since forever! If you do ML and work…from streamlit.io
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Streamlit – Turn Python Scripts into Beautiful ML Tools2019 · github.com · ▲52Streamlit — A faster way to build and share data apps. - streamlit/streamlit
A local Python prototyping tool for Jupyter and Streamlit2023 · github.com · ▲65Hey HN! I built a local Python prototyping tool that is finally the Python development environment I've always wanted. It has a Jupyter notebook for data crunching, a database of your choice (Python or MongoDB), and a Streamlit app for building a frontend visualization. You can edit the Streamlit backend via an embedded VSCode editor, or locally on your own IDE. The best part for me is that the database connectors within Jupyter and Streamlit are configured out-of-the-box, so you don't need to spend time thinking about how to tie all that together - you can just pick the database you want to…
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Hstream – quick Python web apps – Streamlit alternative using htmx2022 · github.com · ▲104I love Streamlit but have run into many situation where taking it from PoC to MVP state is insurmountable. With all the recent HN hype around htmx and sematic html / classless css I decided to build a Streamlit alternative using these on top of FastAPI. This has a couple advantages: 1) easier to extend when you move past PoC since the FastAPI app is exposed (allowing adding more routes) and hstream acts more like a typical web stack 2) with htmx and html (plus MVP.css) doing the heavy lifting the package is alot less complex and easier to reason about - and hopefully more performant…
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