Life & fun · alternatives · 2026
24 alternatives to RMOTR Notebooks – Free Online Data Science Environment
Hello HN. We're happy to show to the world a platform that we've created to help our students get started with Data Science: https://notebooks.rmotr.com/ We know how hard it is to start working with Data Science tools: setting up local environment, installing dependencies, keeping projects organized, etc. RMOTR Notebooks has Jupyter Lab already preinstalled + the ability to upload datasets. Our platform is now open to everybody for free, and we are thinking about adding paid tiers in the future with better hardware, GPU support, pro features, etc. We've also worked on a…
RMOTR Notebooks is a free online platform that provides a pre-configured Jupyter Lab environment for data science work. It eliminates the need to set up local development environments and manage dependencies. Users can… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. RMOTR Notebooks – Free Online Data Science Environment launched in 2018; newer entries below may have overtaken it.
- 1
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 →
- 2
- 3
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 →
- 4
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 →
- 5
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 →
- 6
Jupyter notebooks you can run on free cloud GPUs
2019 · its alternatives →
- 7
2019 · hackerrank.com · its alternatives →
- 8
Notebooks for data scientists and data analysts.
2021 · deepnote.com · its alternatives →
- 9DA
Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
2020 · its alternatives →
- 10BM
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 →
- 11
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 →
- 12KA
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 →
- 13
- 14SP
Hi HN, Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects. To author the book, I used the Leanpub platform to provide drafts of the text as I completed each chapter. To typeset the book, I used the R bookdown package by Yihui Xie to translate my markdown into a PDF format. I also used Google docs…
2020 · its alternatives →
- 15
2020 · starboard.gg · its alternatives →
- 16
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 →
- 17
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 →
- 18
- 19
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 →
- 20
Modelbit▲125Heroku for Data Science, from the founders of Periscope Data
2023 · modelbit.com · its alternatives →
- 21
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 →
- 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
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 →
- 24
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 →
Also compare
- Adding Mistral Codestral and GPT-4o to Jupyter Notebooks alternatives
- Deepnote alternatives
- WASM-powered codespaces for Python notebooks on GitHub alternatives
- Nextjournal – seamless data science for teams alternatives
- A modern Jupyter client for macOS alternatives
- Gradient Community Notebooks 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 →