AI · alternatives · 2026
24 alternatives to American Data Science
Effortlessly launch and manage Python notebook environments
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. American Data Science launched in 2023; newer entries below may have overtaken it.
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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 →
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A generative AI pair programmer optimized for data science
2023 · its alternatives →
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2019 · hackerrank.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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Your home for data science and AI. The world's leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.
2019 · towardsdatascience.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 →
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2020 · starboard.gg · its alternatives →
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Notebooks for data scientists and data analysts.
2021 · deepnote.com · its alternatives →
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Learning numerical computing with notebooks for all ages. - eka-foundation/numerical-computing-is-fun
2017 · github.com · its alternatives →
- 12RN
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…
2018 · its alternatives →
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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 →
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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 →
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Modelbit▲125Heroku for Data Science, from the founders of Periscope Data
2023 · modelbit.com · its alternatives →
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2018 · blog.jupyter.org · its alternatives →
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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 →
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- 24DA
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 →
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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 →