Life & fun · alternatives · 2026
24 alternatives to Turn Jupyter Notebooks into Beautiful Reports
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Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Turn Jupyter Notebooks into Beautiful Reports launched in 2020; newer entries below may have overtaken it.
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Run your Jupyter notebooks on a schedule with three clicks
2019 · chromewebstore.google.com · its alternatives →
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NoteView▲101Easily share results from Jupyter notebooks
2020 · chromewebstore.google.com · its alternatives →
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Notebooks for data scientists and data analysts.
2021 · deepnote.com · its alternatives →
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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 · its alternatives →
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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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2020 · starboard.gg · its alternatives →
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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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2019 · hackerrank.com · its alternatives →
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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 · its alternatives →
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3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL - widgetti/ipyvolume
2017 · github.com · its alternatives →
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One document with code, text, math, charts and rich media.
2014 · ipython.org · its alternatives →
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2016 · pasteql.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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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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Explore and Analyze Big Data from any Notebook
2019 · hi-bumblebee.com · its alternatives →
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Helping Data Scientist Achieve Maximum Productivity
2017 · its alternatives →
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2018 · nbviewer.jupyter.org · its alternatives →
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I started to use IPython, and then Jupyter more than ten years ago but despite of all the nice features, there were always something missing, something that prevented me from using it as my main working environment. Notably, Jupyter lacks Line by line execution of scripts: The basic execution units
2017 · vatlab.github.io · 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 →