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Dev tools · June 14, 2018

KP

Kyso – Publish Your Jupyter Notebooks as Blog Posts

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…

Alternatives

What it does

In the maker’s words, at launch

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 https://kyso.io/vanaurum/algorithmic-portfolio-optimization https://kyso.io/Don/a-journey-to-the-tip-of-neural-networks https://kyso.io/waldohiding/twitter Happy to hear any and all feedback!

Does the same job

all alternatives →
  • KA
    Kyso – an easy way to share Jupyter notebooks2017 · ▲117

    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!

  • Kyso2019 · ▲115

    Blog your data science

  • 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…

  • AT
    A tool to convert Jupyter notebooks to beautiful blogs2019 · github.com · ▲150
  • MP
    Mercury – Publish Jupyter Notebook as web app by adding YAML header2022 · github.com · ▲61

    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)…

  • SP
    Self-Published Book – “Data Science in Production”2020 · ▲172

    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…

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