This history underscores how challenging it is to build real-time collaboration into applications: when the Google Realtime API was deprecated, Colab lost its real-time collaboration capabilities, a gap which continues to this day. They rewrote the UI for Jupyter Notebooks and gave it a collaborative notebook model via Google’s Realtime API, which was deprecated in 2017. No wonder, that the first collaborative Jupyter Notebook implementation, Colaboratory (or Colab), was created by Google engineers. Even today, collaborative editing is far from being ubiquitously available, even though the technology has been available since the ‘80s. It will take years for others to reproduce this functionality. In many ways, Google Docs was ahead of its time. Google Docs was released in 2006 and was the first web application that supported collaborative editing on rich text. (source)īack then, everyone tried to replicate Google Docs’ collaborative editing functionality. This will finally make decent live collaboration feasible, which is our single most-requested and highest-priority new feature. In 2012, core Jupyter contributor and creator/lead of JupyterHub, wrote in the GitHub issue tracker: Right from the beginning, collaborative editing was on the agenda for Jupyter Notebooks. But it’s also a great tool for learning programming because it doesn’t require setting up a programming environment. This is great for data scientists that want to share their research with others.
CUSTOM NOTEBOOKS CODE
The code can be executed interactively directly from the notebook and shows the result immediately below the code. Basically, it allows you to write markdown and code directly in a document. Jupyter Notebooks started in 2011 (back then IPython Notebook) as an effort to make data science reproducible and more accessible by visualizing data dynamically in a notebook. This article gives an overview of all the work that was put into Jupyter Notebooks and finally describes how we want to make even more components collaborative. Finally, they ended up with a solution that is based on the Yjs Framework which I authored. It took the Jupyter project several years to land this feature. It’s just a very hard feature to add to your application. Of course, they always cared about real-time collaboration. One of the few good things that came out of this pandemic is that more people seem to care about making their applications fit for remote collaboration.
How we made Jupyter Notebooks collaborative with YjsĬollaborative editing - à la Google Docs - is a feature that you still rarely find in applications.
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