Saravanan666/pypi-org huggingface dataset:
Package: jupyterlab-blockly
jupyterlab_blocklyBlockly extension for JupyterLab.BlocklyBlockly is a library from Google for building beginner-friendly block-based programming languages.Docs:https://developers.google.com/blockly/guides/overviewRepo:https://github.com/google/blocklyRequirementsJupyterLab == 3.4InstallTo install the extension, execute:condainstall-cconda-forgejupyterlab-blocklyKernelsipykernelxeus-pythonxeus-luaJavaScriptJavaScriptUninstallTo remove the extension, execute:condauninstall-cconda-forgejupyterlab-blocklyContributingDevelopment installNote: You will need NodeJS to build the extension package.Thejlpmcommand is JupyterLab's pinned version ofyarnthat is installed with JupyterLab. You may useyarnornpmin lieu ofjlpmbelow.micromambacreate-nblockly-cconda-forgepythonnodejspre-commityarnjupyterlab==3.4jupyter-packagingjupyterlab-language-pack-es-ESjupyterlab-language-pack-fr-FRipykernelxeus-pythonxeus-lua
micromambaactivateblockly# Clone the repo to your local environment# Change directory to the jupyterlab_blockly directory# Installing pre-commit to run command when adding commitspre-commitinstall# 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=FalseDevelopment uninstallpipuninstalljupyterlab_blocklyIn development mode, you will also need to remove the symlink created byjupyter labextension developcommand. To find its location, you can runjupyter labextension listto figure out where thelabextensionsfolder is located. Then you can remove the symlink namedjupyterlab-blocklywithin that folder.Packaging the extensionSeeRELEASE
Package: jupyterlab-bookmarks-extension
jupyterlab-bookmarks-extensionA JupyterLab extension to provide Launcher icons for favorites. Allows bookmarking files for quick access from the Launcher.This extension is composed of a Python package namedjupyterlab_bookmarks_extensionfor the server extension and a NPM package namedjupyterlab-bookmarks-extensionfor the frontend extension.IntroRequirementsJupyterLab >= 2.0 (preferably 2.2.0)InstallNote: You will need NodeJS to install the extension.pipinstalljupyterlab_bookmarks_extension
jupyterlabbuildTroubleshootIf you are seeing the frontend extension but it is not working, check
that the server extension is enabled:jupyterserverextensionlistIf the server extension is installed and enabled but you are not seeing
the frontend, check the frontend is installed:jupyterlabextensionlistIf it is installed, try:jupyterlabclean
jupyterlabbuildContributingInstall for developmentThejlpmcommand is JupyterLab's pinned version ofyarnthat is installed with JupyterLab. You may useyarnornpmin lieu ofjlpmbelow.# Clone the repo to your local environment# Move to jupyterlab-bookmarks-extension directory# Install server extensionpipinstall-e.# Register server extensionjupyterserverextensionenable--pyjupyterlab_bookmarks_extension--sys-prefix# Install dependenciesjlpm# Build Typescript sourcejlpmbuild# Link your development version of the extension with JupyterLabjupyterlabextensioninstall.# Rebuild Typescript source after making changesjlpmbuild# Rebuild JupyterLab after making any changesjupyterlabbuildYou can watch the source directory and run JupyterLab in watch mode to watch for changes in the extension's source and automatically rebuild the extension and application.# Watch the source directory in another terminal tabjlpmwatch# Run jupyterlab in watch mode in one terminal tabjupyterlab--watchNow every change will be built locally and bundled into JupyterLab. Be sure to refresh your browser page after saving file changes to reload the extension (note: you'll need to wait for webpack to finish, which can take 10s+ at times).Uninstallpipuninstalljupyterlab_bookmarks_extension
jupyterlabextensionuninstalljupyterlab-bookmarks-extension
Package: jupyterlab-box-drive
jupyterlab_box_driveA JupyterLab extension.Browse Box.com storage usingbox-javascript-sdkand the Box REST API.Demonstration(Getting Started.ipynb)Box Dev ConsoleCreate New AppCreate a Custom App (OAuth 2.0)OAuth 2.0 (User or Client Authentication)Configurationget OAuth 2.0 Credentialsset OAuth 2.0 Redirect URIexample:https://tanaga9.github.io/jupyterlab-box-drive/extensions/jupyterlab-box-drive/static/assets/auth.htmlset Application ScopesRead all files and folders stored in BoxWrite all files and folders stored in Boxset CORS Domainsexample:https://tanaga9.github.ioConceptPurposeThe first purpose of this extension is to provide access to Box.com storage forJupyterLite.It probably works fine in jupyterlab.RequirementsJupyterLab >= 3.0InstallTo install the extension, execute:pipinstalljupyterlab_box_driveUninstallTo remove the extension, execute:pipuninstalljupyterlab_box_driveQuick Start with Dockerdocker build -t jupyterlab-box-drive . && docker run --rm -p 8888:8888 jupyterlab-box-driveContributingDevelopment installNote: You 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_box_drive directory# Install package in development modepipinstall-e"."# Link your development version of the extension with JupyterLabjupyterlabextensiondevelop.--overwrite# Rebuild extension Typescript source after making changesjlpmbuildYou 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 neededjlpmwatch# 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 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=FalseDevelopment uninstallpipuninstalljupyterlab_box_driveIn development mode, you will also need to remove the symlink created byjupyter labextension developcommand. To find its location, you can runjupyter labextension listto figure out where thelabextensionsfolder is located. Then you can remove the symlink namedjupyterlab-box-drivewithin that folder.Testing the extensionFrontend testsThis extension is usingJestfor JavaScript code testing.To execute them, execute:jlpm
jlpmtestIntegration testsThis extension usesPlaywrightfor the integration tests (aka user level tests).
More precisely, the JupyterLab helperGalatais used to handle testing the extension in JupyterLab.More information are provided within theui-testsREADME.Packaging the extensionSeeRELEASE
Package: jupyterlab-bpmn
jupyterlab_bpmnA JupyterLab extension for rendering BPMN filesRequirementsJupyterLab >= 3.0InstallTo install the extension, execute:pipinstalljupyterlab_bpmnUninstallTo remove the extension, execute:pipuninstalljupyterlab_bpmnContributingDevelopment installNote: You 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_bpmn directory# Install package in development modepipinstall-e"."# Link your development version of the extension with JupyterLabjupyterlabextensiondevelop.--overwrite# Rebuild extension Typescript source after making changesjlpmbuildYou 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 neededjlpmwatch# 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 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=FalseDevelopment uninstallpipuninstalljupyterlab_bpmnIn development mode, you will also need to remove the symlink created byjupyter labextension developcommand. To find its location, you can runjupyter labextension listto figure out where thelabextensionsfolder is located. Then you can remove the symlink namedjupyterlab-bpmnwithin that folder.Testing the extensionFrontend testsThis extension is usingJestfor JavaScript code testing.To execute them, execute:jlpm
jlpmtestIntegration testsThis extension uses Playwright for the integration tests (aka user level tests).
More precisely, the JupyterLab helperGalatais used to handle testing the extension in JupyterLab.More information are provided within theui-testsREADME.Packaging the extensionSeeRELEASE
Package: jupyterlab-bqn
jupyterlab_bqnA JupyterLab extension for the BQN language.RequirementsJupyterLab >= 4.0.0InstallTo install the extension, execute:pipinstalljupyterlab_bqnUninstallTo remove the extension, execute:pipuninstalljupyterlab_bqnContributingDevelopment installNote: You 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_bqn directory# Install package in development modepipinstall-e"."# Link your development version of the extension with JupyterLabjupyterlabextensiondevelop.--overwrite# Rebuild extension Typescript source after making changesjlpmbuildYou 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 neededjlpmwatch# 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 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=FalseDevelopment uninstallpipuninstalljupyterlab_bqnIn development mode, you will also need to remove the symlink created byjupyter labextension developcommand. To find its location, you can runjupyter labextension listto figure out where thelabextensionsfolder is located. Then you can remove the symlink namedjupyterlab-bqnwithin that folder.Packaging the extensionSeeRELEASE
Package: jupyterlab-broccoli
jupyterlab-broccoliJupyterLab Extension for Blockly
This is a fork of Jupyterlab-Blockly extension for JupyterLabBroccolijupyterlab-broccoli is the fork ofjupyterlab-blocklyAdded several icons, including a save icon.Added save confirmation dialog when close.Added confirmation dialog for kernel restart.Toolbox localization (Japanese language only now).New split layout for panel.Save using kernel information to file.Fixed a few bugs.Added "Copy Blockly Output to Clipborad" command at context menu. (v0.3.6)JupyterLab v4 support.Corresponding version is jupyterlab-blockly 0.3.0ahttps://github.com/QuantStack/jupyterlab-blocklyInstallfor JupyterLab ^4.0.xpip install jupyterlab-broccolifor JupyterLab ^3.6.xpip install jupyterlab-broccoli==0.3.6Requirements~0.4.5 : JupyterLab ^4.0.0, Blockly ^9.3.3=0.4.0 : JupyterLab ^4.0.0, Blockly ^10.2.2 (Over write functions of generator do not work)~0.3.x : JupyterLab ^3.6.0, Blockly ^9.3.3Screen Shotjupyterlab-blocklyhttps://github.com/QuantStack/jupyterlab-blockly
Package: jupyterlab-broccoli-blocks
jupyterlab-broccoli-blocksExtension template forjupyterlab-broccolifor JpuyterLab 4.0.x0.4.xfor JpuyterLab 3.6.x0.3.0Installpip install jupyterlab-broccoli
https://github.com/fiseki/jupyterlab-broccoli-blocks.gitorpip install jupyterlab-broccoli
pip install jupyterlab-broccoli-blocksDevelopmentsee also jupyterlab-blocklyhttps://github.com/QuantStack/jupyterlab-blocklyCompilegit clone https://github.com/fiseki/jupyterlab-broccoli-blocks.git
cd jupyterlab-broccoli-blocks
pip install -e ".[dev]"
jupyter labextension develop . --overwrite
jlpm build
Package: jupyterlab-broccoli-turtle
jupyterlab-broccoli-turtleSimple turtle blocks for jupyterlab-broccoliAttention: Almost impractical with FireFox because of FOUC.Do not use with FireFox.RequirementsPillowpip install Pillowjbturtle >= 0.2.0pip install jbturtleInstallfor JupyterLab 4.0.xpip install jupyterlab-broccoli
pip install Pillow
pip install jbturtle
pip install jupyterlab-broccoli-turtlefor JupyterLab 3.6.xpip install jupyterlab-broccoli==0.3.8
pip install Pillow
pip install jbturtle
pip install jupyterlab-broccoli-turtle==0.2.0Screen Shot
Package: jupyterlab-ca-theme
jupyterlab_ca_themeA JupyterLab theme extension for Composable DataLabs.RequirementsJupyterLab >= 3.0InstallTo install the extension, execute:pipinstalljupyterlab_ca_themeUninstallTo remove the extension, execute:pipuninstalljupyterlab_ca_themeContributingDevelopment installNote: You 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_ca_theme directory# Install package in development modepipinstall-e"."# Link your development version of the extension with JupyterLabjupyterlabextensiondevelop.--overwrite# Rebuild extension Typescript source after making changesjlpmbuildYou 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 neededjlpmwatch# 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 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=FalseDevelopment uninstallpipuninstalljupyterlab_ca_themeIn development mode, you will also need to remove the symlink created byjupyter labextension developcommand. To find its location, you can runjupyter labextension listto figure out where thelabextensionsfolder is located. Then you can remove the symlink namedjupyterlab-ca-themewithin that folder.Packaging the extensionSeeRELEASE
Package: jupyterlab-cell-autorun-kernel-restart
jupyterlab_cell_autorun_kernel_restartToggle cells to run whenever the kernel is restarted.RequirementsJupyterLab >= 3.0InstallTo install the extension, execute:pipinstalljupyterlab_cell_autorun_kernel_restartUninstallTo remove the extension, execute:pipuninstalljupyterlab_cell_autorun_kernel_restartContributingDevelopment installNote: You 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_cell_autorun_kernel_restart 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=FalseDevelopment uninstallpipuninstalljupyterlab_cell_autorun_kernel_restartIn development mode, you will also need to remove the symlink created byjupyter labextension developcommand. To find its location, you can runjupyter labextension listto figure out where thelabextensionsfolder is located. Then you can remove the symlink namedjupyterlab_cell_autorun_kernel_restartwithin that folder.Packaging the extensionSeeRELEASE
Package: jupyterlab-cell-flash
jupyterlab-cell-flashJupyterLab extension to show a flash effect when a cell is executed.RequirementsJupyterLab >= 2.0InstallFor JupyterLab 3.x, the extension can be installed withpip:pipinstalljupyterlab-cell-flashFor JupyterLab 1.x and 2.x:jupyterlabextensioninstalljupyterlab-cell-flashSettingsUse the following settings to tweak the color and the duration of the animation (inSettings > Advanced Settings Editor):{
  // The base color for the flash effect
  color: 'rgba(255, 255, 0, 0.5)',

  // The duration of the flash effect animation (in seconds)
  duration: 0.5
}ContributingDevelopment installNote: You 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-cell-flash directory# Install package in development modepipinstall-e.# Link your development version of the extension with JupyterLabjlpmruninstall:extension# 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).Uninstallpipuninstalljupyterlab-cell-flash
jupyterlabextensionuninstalljupyterlab-cell-flash
Package: jupyterlab-cell-status-extension
jupyterlab_cell_status_extensionJupyterLab extension to indicate current cell statusRetroLite demoJupyterLite (JupyterLab) demoTo install the prebuilt extension from a wheel:pip3 install --upgrade https://raw.githubusercontent.com/innovationOUtside/jupyterlab_cell_status_extension/main/dist/jupyterlab_cell_status_extension-0.1.3-py3-none-any.whlYou can update the colour settings in JupyterLab from theSettings > Advanced Settingeditor. For the change to take effect, close the notebook in JupyterLab and then open it again.
Package: jupyterlab-celltagsclasses
jupyterlab_celltagsclassesAn extension to expose cell tags as CSS classesRequirementsJupyterLab >= 4.0.0InstallTo install the extension, execute:pipinstalljupyterlab_celltagsclassesUninstallTo remove the extension, execute:pipuninstalljupyterlab_celltagsclassesWhat it doesCSS classeseach cell has its widget (the DOM element) classes kept in sync in terms of the cell's tags;for example, adding tagfoobarwill result in the current cell having classcell-tag-foobaraddedspecifically the DOM elements that are decorated have the.jpCellclass set by jlab, like so, where we have set tagcelltagsclasses-test1metadata management helper functionsit also exports utilities to manage a cell's metadata, specifically forgetting, setting or unsetting a key/value pairadding, removing items in a list inside the metadata (e.g. tags)cleaning the metadata for empty/useless itemsto that effect, see themd_getand similar functions inmetadata.ts(that can be imported right from the module)helper: apply function on cellstheapply_on_cellsfunction allows you to write a function that works on an individual cell, and then call it on eitherthe active cell onlyall the selected cells if relevant, otherwise the active cellall the cells in the notebookfor that you can pass it aScopevalue that can be eitherActive,Multiple, orAllDevelopmentSee the documentation on Jlab extensions for more details; the gist of it isDevelopment install# Clone the repo to your local environment# Change directory to the jupyterlab_celltagsclasses directory# Install package in development modepipinstall-e"."# Link your development version of the extension with JupyterLabjupyterlabextensiondevelop.--overwrite# Rebuild extension Typescript source after making changesjlpmbuildYou 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 neededjlpmwatch# Run JupyterLab in another terminaljupyterlabDevelopment uninstallpipuninstalljupyterlab_celltagsclassesIn development mode, you will also need to remove the symlink created byjupyter labextension developcommand. To find its location, you can runjupyter labextension listto figure out where thelabextensionsfolder is located. Then you can remove the symlink namedjupyterlab-celltagsclasseswithin that folder.Packaging the extensionSeeRELEASEtestingthe metadata moduleprobably suboptimal but that's my first..npm install -g typescript '@types/node'rm src/*js
tsc src/xpath*ts && node src/xpath-test.jsI have tried to usets-nodebut to no avail so far