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Dev tools · alternatives · 2026

24 alternatives to Turn Jupyter Notebook to interactive web app and share with no-coders

Share Python notebooks as web apps with non-technical users

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… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Turn Jupyter Notebook to interactive web app and share with no-coders launched in 2022; newer entries below may have overtaken it.

  1. 1

    Streamlit — A faster way to build and share data apps. - streamlit/streamlit

    2019 · github.com · its alternatives →

  2. 2

    Hey 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…

    2023 · github.com · its alternatives →

  3. 3

    Streamlit, 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.

    2022 · edit.share.stlite.net · its alternatives →

  4. 4

    Mercury 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)…

    2022 · github.com · its alternatives →

  5. 5

    Share Python notebooks as web apps with non-technical users

    2022 · mljar.com · its alternatives →

  6. 6

    Author 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…

    2023 · runmercury.com · its alternatives →

  7. 7

    Hi HN! Last year, we shared marimo [1], an open-source reactive notebook for Python with support for execution through WebAssembly [2]. We wanted to share something new: you can now run marimo and Jupyter notebooks directly from GitHub in a Wasm-powered, codespace-like environment. What makes this powerful is that we mount the GitHub repository's contents as a filesystem in the notebook, making it really easy to share notebooks with data. All you need to do is prepend 'marimo.app' to any Python notebook on GitHub. Some examples: - Jupyter Notebook:…

    2025 · docs.marimo.io · its alternatives →

  8. 8KA

    Hi HN, We're the founders of https://kyso.io We want to make it really easy to share data-science within teams, and we've started with Jupyter notebooks. We render the notebooks really nicely, so you can embed interactive visualisations like Bokeh, and Plotly plots. Another nice thing is we allow you to hide the code for non-technical readers, so you basically get a beautiful data blog. Look at https://kyso.io/laura/ for some examples. We really want to hear your feedback, let us know what you think!

    2017 · its alternatives →

  9. 9

    Turn python scripts into beautiful ML tools

    2019 · streamlit.io · its alternatives →

  10. 10
  11. 11

    I love Jupyter – it's how I learned to code back when I was working as a scientist. But I was always frustrated that there wasn't a simple and elegant app that I could use with my Mac. I made do by wrapping JupyterLab in a chrome app, and then more recently switching to VS Code to make use of Copilot. I've always craved a more focused and lighter-weight experience when working in a notebook. That's why I created Satyrn. It starts up really fast (faster time-to-execution than VS Code or JupyterLab), you can launch notebooks right from the Finder, and the design is super minimalist. It's got…

    2024 · satyrn.app · its alternatives →

  12. 12

    I 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…

    2022 · github.com · its alternatives →

  13. 13

    Streamlit is a Python web app framework for the fast development of data apps. This project is to make it run completely on web browsers with power of Pyodide/Wasm.

    2022 · github.com · its alternatives →

  14. 14

    A cli tool to convert and manage jupyter notebook blogs. Proudly host your notebooks even as a static site. - GitHub - hemanta212/blogger-cli: A cli tool to convert and manage jupyter notebook blogs. Proudly host your notebooks even as a static site.

    2019 · github.com · its alternatives →

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  16. 16

    Hey HN! We’ve forked Jupyter Lab and added AI code generation features that feel native and have all the context about your notebook. You can see a demo video (2 min) here: https://www.tella.tv/video/clxt7ei4v00rr09i5gt1laop6/view Try a hosted version here: https://pretzelai.app Jupyter is by far the most used Data Science tool. Despite its popularity, it still lacks good code-generation extensions. The flagship AI extension jupyter-ai lags far behind in features and UX compared to modern AI code generation and understanding tools (like…

    2024 · github.com · its alternatives →

  17. 17

    Jupyter Notebooks for the web

    2022 · its alternatives →

  18. 18

    Notebooks for data scientists and data analysts.

    2021 · deepnote.com · its alternatives →

  19. 19

    3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL - widgetti/ipyvolume

    2017 · github.com · its alternatives →

  20. 20MT

    Hi! We're Piotr and Aleksandra, founders of Mercury (https://RunMercury.com), an open source framework for converting Jupyter Notebooks to Web Apps. You can turn Python notebook into interactive web app, static website, presentation, report or dashboard and share it online with non-technical users. You can self-host Mercury or use our hosting service (coming soon!). Our GitHub: https://github.com/mljar/mercury Sharing Python notebooks is challenging. You can't send notebook directly to non-technical stakeholders. You need to copy-paste results/charts into…

    2023 · its alternatives →

  21. 21BM

    Hi HN! We're Lucas and Lucas from Briefer and we're building better notebooks. Our notebooks are kind of a mix between Notion and Jupyter with extra features, like the ability to schedule notebooks, turn them into dashboards and apps, and write SQL queries whose results turn into data frames automatically. We're building better notebooks because we think they're a great idea poorly executed - for three reasons. The first problem with notebooks is that they're difficult to share. Non-technical people don't want to download docker containers and install Python libraries to see what the data…

    2024 · briefer.cloud · its alternatives →

  22. 22

    Client side rendering of Jupyter notebooks. Contribute to kokes/nbviewer.js development by creating an account on GitHub.

    2016 · github.com · its alternatives →

  23. 23

    Turn your Python Notebook into a web app with the open-source Mercury framework. Share your results with non-technical users in a few simple steps.

    2023 · runmercury.com · its alternatives →

  24. 24

    Turn your Python Notebook into a web app with the open-source Mercury framework. Share your results with non-technical users in a few simple steps.

    2023 · runmercury.com · its alternatives →

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