Package: jupyterlab-stickyland
StickyLandBreak the linear presentation of Jupyter Notebooks with sticky cells!👨🏻‍🏫 Talk📺 Video📖 "StickyLand: breaking the linear presentation of computational Notebooks"Live DemoYou can try StickyLand directly in your browser without installing anything:Fast loadingFull functionalityInstallFirst, you need to install JupyterLab. Then you can install StickyLand withpip:pipinstallstickylandNoteStickyLand only supportsJupyterLab < 4. In June 2023,JupyterLab 4.0was released with a lot of breaking changes. I will update StickyLand to supportJupyterLab 4.0when the official extension documentation is more polished. Any contribution to thelab4branch is greatly appreciated!FeaturesShow detailsDrag and drop to create sticky cellsCreate sticky code and markdown from scratchAutomatically execute sticky cellsUse floating cells to create interactive dashboardsWith multiple floating cells, users can create a full-fledged interactive dashboard. For example, a machine learning engineer can build an ML Error Analysis Dashboard (shown below) through simple drag-and-drop.TheML Error Analysis Dashboardconsists of:(A)markdown text describing the dashboard,(B)input field to specify a feature to diagnose,(C)auto-run chart showing the distribution of the specified feature,(D)second
input field to further specify the range within the feature to diagnose,(E)auto-run table displaying all samples that meet the
criteria,(F)auto-runvisualizationexplaining how the ML model makes decision on these samples,(G)interactive toolallowing
the ML engineer to fix the ML model by editing its parameters based on their error analysis.DevelopmentYou will need NodeJS to build the extension package.
Thejlpmcommand is JupyterLab's pinned version ofyarnthat is installed with JupyterLab. You may useyarnornpmin lieu ofjlpmbelow.# Clone the repo to your local environment# Change directory to the jupyterlab_stickyland directory# Install package in development modepipinstall-e.# Link your development version of the extension with JupyterLabjupyterlabextensiondevelop.--overwrite# Rebuild extension Typescript source after making changesjlpmrunbuildYou can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.# Watch the source directory in one terminal, automatically rebuilding when neededjlpmrunwatch# Run JupyterLab in another terminaljupyterlabWith the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).By default, thejlpm run buildcommand generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:jupyterlabbuild--minimize=FalseCitation@inproceedings{wangStickyLandBreakingLinear2022,title={{{StickyLand}}: {{Breaking}} the {{Linear Presentation}} of {{Computational Notebooks}}},shorttitle={{{StickyLand}}},booktitle={Extended {{Abstracts}} of the 2022 {{CHI Conference}} on {{Human Factors}} in {{Computing Systems}}},author={Wang, Zijie J. and Dai, Katie and Edwards, W. Keith},year={2022},publisher={{ACM}}}LicenseThe software is available under theBSD-3-Clause License.ContactIf you have any questions, feel free toopen an issueor contactJay Wang.