Alternatives
Products that do what NotebookKeeper does
Catch leaked API keys in Jupyter notebooks automatically
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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
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Hey HN, would love some feedback on our Jupyter Notebook review tool! We help data science teams check one another's work and share knowledge that's stored in Jupyter Notebooks. Currently, we integrate with GitHub, allowing for review comment submissions, pull request approval, comments on markdown and code cells that sync with GitHub. Happy to answer any questions!
2024 · app.gitnotebooks.com
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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
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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
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2021 · deepnote.com
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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
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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
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Add folders, search, and sync to Google NotebookLM
Mar 2026 · bookshelf-notebooklm.com
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2020 · starboard.gg
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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
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Dec 2025 · github.com
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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…
2023 · docs.neutrinolabs.dev
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