4/16/2023 0 Comments Jupyterlab extensionsI don't think the spreadsheet lasts forever, but its successor will likely be something that presents an easy way to get answers from a set of data that is visible or at least able to be quickly understood, regardless of whether its fast, scalable, networked etc. You are welcome to open any issue or pull request. Browse the previews below or skip them and jump directly to the sections for developers. We have structured the examples based on the extension points. Explanations of the internal working, illustrated with code snippets. jupyter jupyterlab jupyterlab-extension ihuicatl published 0.2. The list of used JupyterLab API and Extension Points. jupyter jupyterlab jupyterlab-extension trungleduc published 0.1.5 5 months ago M Q P jupyterlaburdf A URDF viewer and editor extension for JupyterLab. This makes up a huge chunk of day-to-day business decisions, especially in finance where the math is much easier. A JupyterLab extension to create custom launcher entries. The Variable Inspector extension allows inspection of variables for both consoles and notebooks metrics in a datagrid-viewer and allows the inline and interactive inspection of Jupyter Widgets. They can provide new themes, file viewers and editors, or renderers for rich outputs in notebooks. This Jupyterlab extension features the variables currently in use and displays their values. Requirements JupyterLab > 3. This same logic is why the spreadsheet is best serving customized, one-off, or changing operations without a huge amount of data. JupyterLab extensions can customize or enhance any part of JupyterLab. jupyterai A generative AI extension for JupyterLab This extension is composed of a Python package named jupyterai for the server extension and a NPM package named jupyterai for the frontend extension. One of the great things about Jupyter ecosystem is that if there is something you are missing, there is either an open-source extension for that or you can create it yourself. If you and sending a report to a superior - clear and visible rows, columns, and "math" makes it faster and easier to trust information for non-technical users. JupyterLab, a flagship project from Jupyter, is one of the most popular and impactful open-source projects in Data Science. The principle use of the spreadsheet for both power users and casual users is a lot around justifying answers by being able to see the data. This is very cool and could be the basis for a huge set of interesting operations - but any time I read about DB Spreadsheet discussions they seem to be started by folks who much better understand DBs.
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