Dev tools · alternatives · 2026
24 alternatives to WASM-powered codespaces for Python notebooks on GitHub
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:…
Marimo is an open-source reactive Python notebook environment that runs directly in web browsers using WebAssembly. It allows users to view and execute both marimo and Jupyter notebooks from GitHub repositories without… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
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 →
- 2
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 →
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We launched marimo [1], an open-source reactive Python notebook, last year on HackerNews. Today, the most popular recent feature request in Google Colab’s issue tracker asks for marimo support in Colab [2]. Rather than try to convince Google to replace their notebook with marimo, we decided to just build our own cloud-hosted notebook service instead. We're calling this molab (mo for marimo), and we're launching it today. You can try it at https://molab.marimo.io Some features: - Persistent storage - Link sharing (notebooks are public but undiscoverable, like secret GitHub Gists) -…
2025 · molab.marimo.io · its alternatives →
- 5
Hi HN! We're excited to share marimo pair [1] [2], a toolkit that drops AI agents into a running marimo notebook [3] session. This lets agents use marimo as working memory and a reactive Python runtime, while also making it easy for humans and agents to collaborate on computational research and data work. GitHub repo: https://github.com/marimo-team/marimo-pair Demo: https://www.youtube.com/watch?v=6uaqtchDnoc marimo pair is implemented as an agent skill. Connect your agent of choice to a running notebook with: /marimo-pair pair with me on…
Apr 2026 · github.com · its alternatives →
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Hi HN! We're excited to release our VS Code/Cursor extension for marimo [1], an open-source, reactive Python notebook. This extension provides a native experience for working with marimo notebooks, a long-requested feature that we’ve worked hard to get right. An LSP-first architecture The core of our extension is a marimo notebook language server (marimo-lsp [2]). As far as we know, it’s the first notebook runtime to take this approach. The Language Server Protocol (LSP) [3] offers a small but important set of notebook-related capabilities that we use for document and kernel syncing;…
Nov 2025 · github.com · its alternatives →
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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 →
- 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
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 →
- 10
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 →
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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 →
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2020 · starboard.gg · its alternatives →
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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 →
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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 →
- 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 →
- 16WS
I’ve been in the MLOps space for ~10 years, and data is still the hardest unsolved open problem. Code is versioned using Git, data is stored somewhere else, and context often lives in a 3rd location like Slack or GDocs. This is why we built XetHub, a platform that enables teams to treat data like code, using Git. Unlike Git LFS, we don’t just store the files. We use content-defined chunking and Merkle Trees to dedupe against everything in history. This allows small changes in large files to be stored compactly. Read more here:…
2022 · xethub.com · its alternatives →
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Interactive Computing for Humans. Contribute to herqooly/herqooly development by creating an account on GitHub.
2020 · github.com · its alternatives →
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Jupyter notebooks in the terminal. Contribute to joouha/euporie development by creating an account on GitHub.
2021 · github.com · its alternatives →
- 19
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 →
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Hello everyone, Dipesh and Siddarth here. We are building PlayBooks (https://github.com/DrDroidLab/playbooks), an open source tool to write executable notebooks for on-call investigations / remediations instead of Google Docs or Wikis. There’s a demo video here: https://www.youtube.com/watch?v=_e-wOtIm1gk, and our docs are here: https://docs.drdroid.io/docs/playbooks We were in YC’s W23 batch working on a data lakehouse with support for dynamic log schemas. Eventually we realized it was a product in search of a market and decided to…
2024 · github.com · its alternatives →
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Runs anything you can put into a Docker container. Improve your workflow with polyglot notebooks, automatic versioning and real-time collaboration. Save time and money with on-demand provisioning, including GPU support. Use it for ML, data science, runnable tutorials, for your classroom or scientifi
2019 · nextjournal.com · its alternatives →
- 22KP
Hi HN - the founders of kyso here. Kyso (https://kyso.io) is a blogging platform for data science. We render your jupyter notebooks, including all code, interactive visualisations and rich markdown, as awesome data blogs. Upload existing notebooks, import your repos from Github and start brand new Jupyterlab environments in the cloud, all for free. And then publish and share your blogs with the community! Have a look here for a few example posts on our platform: https://kyso.io/jamesle/fifa18…
2018 · its alternatives →
- 23
Today I'm open sourcing "Grid studio", a web-based spreadsheet application with full integration of the Python programming language.
2019 · hackernoon.com · its alternatives →
- 24
Learning numerical computing with notebooks for all ages. - eka-foundation/numerical-computing-is-fun
2017 · github.com · its alternatives →
Also compare
- Marimo – an open-source reactive notebook for Python alternatives
- Marimo – open-source reactive Python notebook – running in WASM alternatives
- marimo alternatives
- Molab, a cloud-hosted Marimo notebook workspace alternatives
- Marimo pair – Reactive Python notebooks as environments for agents alternatives
- Marimo VS Code extension – Python notebooks built on LSP and uv alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →