![]() ![]() The downside is you are always using expensive cloud compute even for tasks that can easily be done on your local machine e.g. With SageMaker you can spin up a powerful EC2 instance with a few clicks to train your models. It uses jupyterlab-git extension so you can commit your notebooks to GitHub. It integrates with GitHub repositories so you can clone your public/private repositories into the SageMaker instance. SageMaker is a managed service from AWS that gives you access to hosted JupyterLab. GitPlus can be used to push commits and create pull requests on GitHub directly from JupyterLab UI.jupyterlab-git can be used to browse repositories, look at visual diffs of changed files, and push your commits.You can install these on your local JupyterLab. Easily merge remote changes with your locally edited notebookįollowing JupyterLab extensions are useful for notebook version control.Run git diff to see how notebook has changed before committing.You can set this up to work with local git client so that git diff & git merge commands use nbdime for. Nbdime is an open source library for diffing and merging notebooks locally. That’s our wishlist! This blogpost is going to introduce you to all the important tools that can help you achieve these.ĭisclaimer: I’m the author of two of the tools listed below (ReviewNB & GitPlus) but this is an unbiased review of all the useful tools in this space. Ability to provide feedback & ask questions about a specific notebook cell.Multiple people can work on a single notebook with easy merge conflict resolution.See what changed from one version to another (a.k.a visual diff for notebooks). ![]() ![]() Quickly checkout any of the past notebook versions.Ability to create checkpoints / commits.Here’s what we need from a modern version control system. What’s required from notebook version control? git merge of long nested JSON document is humanly impossible, git diff for binary image string is horrible (shown below). Git doesn’t handle rich documents like notebooks very well. Whereas Jupyter is a rich JSON document with source code, markdown, HTML, images all rolled into a single. Git is designed to work primarily for human-readable text files. The software world has converged on git as it’s version control tool of choice. In this article we’ll look at all the tools you can leverage to make notebooks play nicely with modern version control systems like git! Why is Jupyter version control so hard? Jupyter notebooks are fantastic in many ways but collaboration is not so easy with them. ![]()
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