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Dev tools · alternatives · 2026

PC

24 alternatives to Python CLI for Compiling Jupyter Notebooks into FastAPI Apps

Hi HN! I recently built Neutrino Notebooks, an open source python library for compiling Jupyter notebooks into FastAPI apps. I work with notebooks a ton and typically find myself refactoring notebook code into a backend or some other python script. So, I made this to streamline that process. In short, it lets you: - Expose cells as HTTP or websockets endpoints with comment declaratives like `@HTTP` and `@WS` - Periodically run cells as scheduled tasks for simple data pipelines with `@SCHEDULE` - Automatic routing based on filename and directory structure, sort of similar to NextJs. - Ignore…

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Python CLI for Compiling Jupyter Notebooks into FastAPI Apps launched in 2023; newer entries below may have overtaken it.

  1. 1

    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 →

  2. 2

    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 →

  3. 3

    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 →

  4. 4

    Run your Jupyter notebooks on a schedule with three clicks

    2019 · chromewebstore.google.com · its alternatives →

  5. 5KA

    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 →

  6. 6

    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 →

  7. 7

    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 →

  8. 8

    Hi HN! We’re excited to share marimo, an open-source reactive notebook for Python [1]. marimo aims to solve well-known problems with traditional notebooks [2]: marimo notebooks are reproducible (no hidden state), git-friendly (stored as Python files), executable as Python scripts, and deployable as web apps. GitHub repo: https://github.com/marimo-team/marimo In marimo, a notebook’s code, outputs, and program state are always consistent. Run a cell and marimo reacts by automatically running the cells that reference its declared variables. Delete a cell and marimo scrubs…

    2024 · github.com · its alternatives →

  9. 9

    I started building a couple of years ago because I found no easy existing solution to build Slack bots that can be composed from/organized into plugins. Existing libraries like Bolt make it pretty easy to develop Slack bots, but hard to organize and scale the code base of your bot. I was also missing some crucial features such as scheduling actions for your bot. So I wrote my own framework! I recently rewrote the complete framework to make use of asyncio and the newest Slack SDK Let me know what you think!

    2022 · github.com · its alternatives →

  10. 10

    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 →

  11. 11

    Hey HN, we're building Thread (https://thread.dev/) an open-source Jupyter Notebook that has a bunch of AI features built in. The easiest way to think of Thread is if the chat interface of OpenAI code interpreter was fused into a Jupyter Notebook development environment where you could still edit code or re-run cells. To check it out, you can see a video demo here: https://www.youtube.com/watch?v=Jq1_eoO6w-c We initially got the idea when building Vizly (https://vizly.fyi/) a tool that lets non-technical users ask questions from their data. While…

    2024 · github.com · its alternatives →

  12. 12
  13. 13BM

    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 →

  14. 14
  15. 15MW

    Mito is AI for your Jupyter Notebook workflow. Use the Jupyter Agent, SQL, Database Connections, and Streamlit Apps for EDA and automations.

    2021 · trymito.io · its alternatives →

  16. 16

    Notebooks for data scientists and data analysts.

    2021 · deepnote.com · its alternatives →

  17. 17

    Hi HN! Last month, we shared marimo [1][2], an open-source reactive notebook for Python. For those who missed it, marimo notebooks are reproducible, stored as Python files, executable as Python scripts, and deployable as web apps. It’s now possible to run marimo notebooks entirely in the browser via WebAssembly (WASM). - A marimo tutorial as a WASM notebook: https://marimo.app/l/c7h6pz - Training a neural network with Karpathy’s micrograd: https://marimo.app/l/xpd4te - Visualizing attractors, as a read-only app:…

    2024 · marimo.app · its alternatives →

  18. 18
    Lime AI▲89

    Create Jupyter notebooks with AI

    2023 · datalimeai.com · its alternatives →

  19. 19

    This project explores the integration of multithreading into the asyncio event loop in Python. While this was initially built with enhancing CPU utilization for FastAPI servers in mind, the approach can be used with more general async programs too. If you’re interested in diving deeper into the details, I’ve written a blog post about it here: https://www.neilbotelho.com/blog/multithreaded-async.html

    2024 · github.com · its alternatives →

  20. 20
    Neptyne▲125

    Run Python in Google Sheets

    2024 · neptyne.com · its alternatives →

  21. 21

    Hi all! A little background: I've been working on natto.dev, a spatial environment for JavaScript. I'm really excited about new interfaces for code (leveraging metaphors we're good at, spatial reasoning, making state visible, design tools, etc). With all the buzz around PyScript, I discovered Pyodide and got it working inside natto. This Python version is a stripped down version of https://natto.dev (eg interactive outputs, multiplayer) so please check that out if this interests you. I'm excited to share this spatial environment for Python. Imagine Jupyter cells arranged on a 2D…

    2022 · python.natto.dev · its alternatives →

  22. 22

    Jupyter notebooks in the terminal. Contribute to joouha/euporie development by creating an account on GitHub.

    2021 · github.com · its alternatives →

  23. 23

    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 →

  24. 24

    Jupyter Notebooks for the web

    2022 · its alternatives →

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