Sharing notebooks is harder than it should be.

You are working on a notebook (in Jupyter, RStudio, Visual Studio Code, whatever), and want to share it quickly with someone. Maybe you want some feedback, or you’re demonstrating a technique, or there is a cool result you want to quickly show someone. A million reasons to want to quickly share a notebook, but unfortunately there isn’t a quick enough and easy enough solution right now. That’s why I built, focused specifically on solving the problem of - “I have a notebook, I want to quickly share it with someone else”.

Ryan Abernathey captures the current frustration, and lays out a possible glorious future for what a ‘share a notebook I am working on’ workflow might look like. is a start in tackling part of this. I highly recommend reading this thread.

Just upload, no signup necessary

As the goal is to have the fastest way to upload your notebook and share it with someone, there is no signup or user accounts necessary. Just upload your notebook, get the link, and share it however you want. Notebook links are permalinks - once uploaded, a notebook can not be changed. You can only upload a new notebook and get a new link.

The upload is a bit slow in the video demos here because I’m sitting on a hammock in a remote beach, but should be much faster for you.

You can upload your notebook easily via the web interface at

Once uploaded, the web interface will just redirect you to the beautifully rendered notebook, and you can copy the link to the page and share it!

Or you can directly use the nbss-upload commandline tool:

On Macs, you can pipe the output of nbss-upload to pbcopy to automatically put the link in your clipboard. Here is the example notebook that I uploaded, so you can check out how it looks.

A jupyterlab extension to streamline this process is currently being worked on, and I’d appreciate any help. I’d also love to have extensions for classic Jupyter Notebook, RStudio (via an addin), Visual Studio Code, and other platforms.

Provide feedback with collaborative annotations

When uploading, you can opt-in to have collaborative annotations enabled on your notebook via the open source, web standards based service. You can thus directly annotate the notebook, instead of having to email back and forth about ’that cell where you are importing matplotlib’ or ’that graph with the blue border’. This is one of the coolest features of

You can annotate the notebook demoed in the video here. Note that you need a free account to annotate, but not to read.

Annotations are opt-in to limit unintended abuse. Enabling an unrestricted comments section on every notebook you upload is probably a terrible idea.

Private by default

By default, search engines do not index your notebooks - you have to opt-in to making them discoverable while you are uploading the notebook. This way, only those you share the link to the notebook with can view it. But be careful about putting notebooks with secret keys or sensitive data up here, as anyone with a link can still view it - just won’t be able to discover it with search engines.

RMarkdown and other formats are supported

It has always been important to me that the R community is treated as a first class citizen in all the tools I build. Naturally, supports class support for R Notebooks as well as R Markdown files experimentally. R Notebooks produced by RStudio are HTML files, and will be rendered appropriately, including outputs (see example). RMarkdown (.rmd) files only contain code and markdown, and will be rendered appropriately (see example) ). If you enable annotations, they will work here too! I would love for more feedback from the R community on how to make this work better for you. In particular, an RStudio Addin that lets you share with a single shortcut key from RStudio would be an amazing project to build.

If you work primarily in the R community, I’d love to work with you to improve support here. I know there are bugs and rough edges, and would love for them to get better.

Internally, the wonderful jupytext project is used to read various notebook formats, so anything it supports is supported on This means .py files and .md files produced by Jupytext or Visual Studio code will also be rendered correctly, albeit without outputs as those are not stored in these files.

Next steps?

I want extensions that let you publish straight from wherever you are working - JupyterLab, classic Jupyter Notebook, RStudio and VS Code. That should speed up how fast you can share considerably. Any help here is most welcome!

I also want users to interactively run the notebooks they find here easily. This involves some integration with most likely, where you (or the notebook author) can specify which environment to launch the notebook into. Wouldn’t it be wonderful to have a ‘Make interactive’ button or similar that can immediately put the notebook back into an interactive mode?

Tweets from here on in Ryan’s twitter thread sell this vision well.


I love feedback! That’s why I spend my time building these. Open an issue or tweet at me. As with all my projects, this is community built and run - so please come join me :)


Growing up on IRC, pastebin services are part of life. In 2018, GitHub stopped supporting anonymous gists

  • so sharing a notebook with someone became a lot more work. hopefully plugs that gap. The excellent is also an inspiration!