Turn Jupyter Notebook to interactive web app and share with no-coders
Share Python notebooks as web apps with non-technical users
Turn Jupyter Notebook to interactive web app and share with no-coders launched on April 4, 2022 with 11 votes, #913 of 2,974 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 4 years on.
In plain words
Streamlit is a tool that converts Jupyter Notebooks into interactive web applications without requiring coding knowledge. It enables data scientists and analysts to share their work as shareable web apps directly from notebook files. The platform simplifies deployment so non-technical users can interact with data visualizations, models, and analyses through a web browser.
written from the facts on this page · September 2026
From the sources
Turn your Python Notebook into a Web App with the open-source Mercury framework. Share your results with non-technical users. You can share as many notebooks as you want and set the authentication. Widgets are in the sidebar and outputs will appear in the same order as in the notebook. Mercury automatically re-executes cells below updated widget. You don't need to write callbacks to handle widget update. Python Notebook is a great tool to connect Markdown, Python code and outputs into meaningful documents. Deployment as easy as file upload. Set custom domain and use securefrom mljar.com
Does a similar job
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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…
Stlite sharing – Write and share Streamlit apps online serverlessly2022 · edit.share.stlite.net · ▲19Streamlit, a Python web app framework, can run on web browsers with WebAssembly, and you can write and share its apps with this online platform. Get the Python productivity, online shareability, and data privacy safety in your data apps.
Mercury – Publish Jupyter Notebook as web app by adding YAML header2022 · github.com · ▲61Mercury is a perfect tool to share your Python notebooks with non-programmers. - You can turn your notebook into web app. - You can add interactive widgets to your notebook by defining the YAML header. Your users can change the input and execute the notebook. - You can hide your code to not scare your (non-coding) collaborators. - Users can interact with notebook and save they results. - You can share notebook as a web app with multiple users - they don't overwrite original notebook. The demo running at Heroku (free dyno) http://mercury-demo-1.herokuapp.com, at AWS EC2 (t3a.small)…
Convert Jupyter Notebook to interactive web app without coding2022 · mljar.com · ▲29Share Python notebooks as web apps with non-technical users
Mercury – Convert Jupyter notebooks to web apps2023 · runmercury.com · ▲131Author here. Mercury is the simplest way to serve your notebooks as web apps. The simplicity of the framework is very important to us. Mercury has some useful features to make sharing easier: - you can show or hide your code, - your users can easily export executed notebook to PDF/HTML, - there is built-in authentication, - you can produce files in the notebook and make them downloadable, - you can share multiple notebooks. We also care about deployment simplicity. That's why we created a shared hosting service called Mercury Cloud. You can deploy notebook by uploading a file. Below…
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