Kyso – an easy way to share Jupyter notebooks

In plain words

Kyso is a platform for sharing Jupyter notebooks within teams. It renders notebooks with enhanced formatting and supports embedded interactive visualizations from tools like Bokeh and Plotly. Users can hide code sections to create polished data presentations for non-technical readers. The platform is designed to make it simple for data scientists and teams to collaborate on and distribute notebook-based analysis and insights.

written from the facts on this page · September 2026

• KP
  Kyso – Publish Your Jupyter Notebooks as Blog Posts2018 · ▲22

  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…

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  Kyso2019 · kyso.io · ▲115

  Blog your data science

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  Kyso2023 · ▲73

  The universal aggregator for data-driven insights

• KB
  Kyso – blog your data-science2019 · ▲8

  Hi HN, We're the founders of Kyso (https://kyso.io), we want to make it really easy for data-scientists to be able to blog and share their work. Think of it like medium for data-science. For readers you can discover and nerd out on data stories. For data-scientist you can make a portfolio of charts, Jupyter notebooks and R notebooks. We support javascript plots - Bokeh and Plotly work, and you can integrate with Github. For teams, we offer a private area, which works similar to Airbnb's knowledge-repo, where the data-scientists in a company can post their analysis for the entire…

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  WASM-powered codespaces for Python notebooks on GitHub2025 · docs.marimo.io · ▲204

  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:…

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  Render Jupyter notebooks as interactive articles2021 · deepnote.com · ▲217

  Notebooks for data scientists and data analysts.

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