Saravanan666/pypi-org huggingface dataset:
Package: jupyterlab-gpulab-theme-dark
jupyterlab_gpulab_theme_darkGPULab dark theme for JupyterLabRequirementsJupyterLab >= 3.0Installpipinstalljupyterlab_gpulab_theme_darkContributingDevelopment 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_gpulab_theme_dark 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=FalseUninstallpipuninstalljupyterlab_gpulab_theme_dark
jupyterlabextensionuninstalljupyterlab_gpulab_theme_dark
Package: jupyterlab-gpulab-theme-light
GPULab Light ThemeGPULab light theme for JupyterLabRequirementsJupyterLab >= 3.0Installpipinstalljupyterlab_gpulab_theme_lightContributingDevelopment 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_gpulab_theme_light 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=FalseUninstallpipuninstalljupyterlab_gpulab_theme_light
jupyterlabextensionuninstalljupyterlab_gpulab_theme_light
Package: jupyterlab-gruvbox-dark
jupyterlab_gruvbox_darkGruvbox Dark colorscheme for JupyterLab interface.RequirementsJupyterLab >= 3.0Installpipinstalljupyterlab_gruvbox_darkContributingDevelopment 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_gruvbox_dark 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=FalseUninstallpipuninstalljupyterlab_gruvbox_dark
jupyterlabextensionuninstalljupyterlab_gruvbox_dark
Package: jupyterlab-gt-coar-theme
JupyterLab GT COAR Themean unoffical Georgia Tech theme forJupyterLab3Installpipinstalljupyterlab-gt-coar-themeorcondainstall-cconda-forgejupyterlab-gt-coar-themeSee thecontributing guidefor a development install.ScreenshotsModeLightDarkFullPresentationUsageAfter launching JupyterLab, in theMain Menu, selectSettings ▸ JupyterLab Theme ▸ GT
COAR (Light|Dark) Theme.Uninstallpipuninstalljupyterlab-gt-coar-themeorcondauninstalljupyterlab-gt-coar-themeCopyright (c) 2021 University System of Georgia and jupyterlab-gt-coar-theme
contributorsDistributed under the terms of the BSD-3-Clause License.
Package: jupyterlab-h5web
jupyterlab-h5webjupyterlab-h5webis a JupyterLab extension to explore and visualize HDF5
file contents, using the web-based viewerh5web. h5web supports theNeXusformat.SeeUsagefor more details.RequirementsJupyterLab 4See the table below for earlier JupyterLab versionsCompatibility tableJupyterLab 2JupyterLab 3JupyterLab 4Extension version range0.0.1-0.3.01.0.0-8.0.010.0.0- ...InstallWith pippipinstalljupyterlab_h5webTo enable support for additional filters such asbloscorbitshuffle:pipinstalljupyterlab_h5web[full]This will installhdf5pluginin addition
to the extension.With condacondainstall-cconda-forgejupyterlab-h5webUsageThis extension enables opening HDF5 files in a JupyterLab tab and exploring HDF5
files in Jupyter notebooks.In JupyterLabYou can double-click on an HDF5 file or right-clickOpen with->h5webto
launch a tab.This tab is composed of a sidebar, where you can explore the structure of the
HDF5 file, and of a main area where the visualization of the selected entity
takes place. This visualization is controlled by the upper-right button that can
toggle between:Display: visualize datasets usingLine,HeatmaporMatrixvisualizations.Inspect: show the metadata and attributes of any entityIn Jupyter notebooksTo open a HDF5 file with H5Web, use theH5Webwidget in a notebook cell:fromjupyterlab_h5webimportH5WebH5Web('<path to the HDF5 file>')The cell height can be resized with the handle at the bottom-right.An example is provided inexample.ipynb.Supported file formatsjupyter-h5webdetects HDF5 files based on their file extensions. The viewer
works for the following extensions:"Classic" HDF5:.h5,.hdf5NeXus:.nexus,.nx,.nxsCXI:.cxiNetCDF4:.nc,.nc4Loom:.loomFor other types of files, you can change the extension to one of the supported
extensions or, if it is widespread,open an issueto discuss
its support.ChangelogSeehttps://github.com/silx-kit/jupyterlab-h5web/releases.TroubleshootIf the following instructions do not solve your issue, you can open anissue on GitHub.Check the server extensionIf you are seeing the frontend extension but it is not working, check thatjupyterlab_h5webis installed and enabled.It should be listed when running:jupyterserverextensionlistIfjupyterlab_h5webdoes not appear or is disabled, try to enable it:jupyter serverextension enable jupyterlab_h5webCheck the frontend extensionIfjupyterlab_h5webis installed and enabled but you are not seeing the
frontend, check the frontend is installed:jupyterlabextensionlistUninstallpipuninstalljupyterlab_h5web
Package: jupyterlab-hai-platform-ext
hai-platform-jupyter-extHAI Platform 的 jupyter 插件介绍本插件集成了 HAI Platform 的一些常用功能，包括但不限于：直接通过 python 文件进行实验提交。管理提交的实验，支持实验的实时监控、日志分析和实验状态管理。当前容器内存、集群节点、任务状况查看。个人 Quota 的查看和调整、可访问路径的查看。.ipynb 快速清除输出、快速转换 python 文件等增强功能。安装在HAI Platform中集成在HAI Platform中可以采用如下方式快速集成：下载本项目的 release 包并解压，放到集群的共享目录在storage数据表下添加如下挂载点：/path/to/jupyterlab_hai_platform_ext,/jupyter_ext/server/jupyterlab_hai_platform_ext,{public},"",Directory,true,add,true
/path/to/jupyterlab_hai_platform_ext/labextension,/jupyter_ext/client/jupyterlab_hai_platform_ext,{public},"",Directory,true,add,true
/path/to/jupyterlab_hai_platform_ext/jupyter-config/jupyterlab_hai_platform_ext.json,/usr/local/etc/jupyter/jupyter_server_config.d/jupyterlab_hai_platform_ext.json,{public},"",File,true,add,true在train_environment数据表中添加对应的环境变量，这部分和下文直接安装的环境变量相同。初次使用时，请检查在Settings -> Advanced Setting Editor -> HF AiLab Token是否已经设置了正确的 Token。直接安装依赖：jupyterlabpipinstalljupyterlab_hai_platform_ext在启动的时候，请确保已经设置了以下几个环境变量：BFF_URL:ailab-server接入层短链接地址WS_URL:ailab-server接入层长链接地址CLUSTER_SERVER_URL:HAI Platform集群 api 地址另外，我们提供一些可选的环境变量配置：JUPYTER_COUNTLY_URL: 如果需要开启Countly监控，请配置该字段JUPYTER_COUNTLY_API_KEY: 如果需要开启Countly监控，请配置该字段本地调试先对项目进行编译：jlpminstall
jlpmrunbuild编译完成后，先通过pip install .安装后，再将jupyterlab_hai_platform_ext和jupyterlab_hai_platform_ext/labextension分别软链接到后端（位于site-packages目录）和前端（位于share/jupyter/labextensions目录）。之后通过jlpm run watch可以进行前端插件的调试。更多支持在当前地开源的版本中，我们对一些功能进行了裁剪，你可以自行二次开发，或者联系我们获取更多支持：包括但不限于完整版本的试用、私有部署等。LicenseDistributed under the GPL License. SeeLICENSEfor more information.(back to top)
Package: jupyterlab-hdf
interactive api docsjupyterlab-hdf5Open and explore HDF5 files in JupyterLab. Can handle very large (TB) sized files. New in release v0.5.0, jlab-hdf5 can now open datasets of any dimensionality, from 0 to 32. Any 0D, 1D, or 2D slab of any dataset can easily be selected and displayed using numpy-style index syntax.Double clicking on an.hdf5file in the file browser will open it in a special HDF browser. You can then browse through the groups and open the datasets in the.hdf5file. All datasets will open read only.For the moment, the browser context menu does not work with.hdf5files/groups/datasets. Only double clicking is currently supported.Designed from the ground up to be as efficient as possible. Data will only be fetched as needed to create the visible display. This allows the extension to work with very large files (tested working up to the TB range).Installationpipinstalljupyterlab_hdf
jupyterlabextensioninstall@jupyterlab/hdf5This will install both the server extension and the labextension needed by this plugin.You can also install the labextension via Jupyterlab's extension manager GUI. Keep in mind that if you use the lab extension GUI, you'll still need to install thejupyterlab_hdfserver extension viapip.Compression filtersThe extension supports all compression filters supported by h5py:https://docs.h5py.org/en/stable/high/dataset.html#filter-pipeline.To enable support for additional filters such asbloscorbitshuffle, you need to installhdf5pluginin addition to the extension:pipinstallhdf5pluginDevelopmentFor a development install, clone the repository and then run the following in the repo dir:pipinstall-e.[dev]jlpmbuild:devTo watch for/rebuild on changes to this extension's source code, run:jlpmrunbuild:watchWhat's in this extensionThis extension has two main parts: an hdf5 filebrowser plugin, and an hdf5 dataset file type plugin.HDF5 FilebrowserAllows you to navigate an.hdf5file's groups as though they were directories in a filesystem. Any.hdf5file on a user's system can be opened by entering its path (relative to the Jupyterlab home directory) in the box at the top of the browser.Note on link resolutionHDF5 files can contain links that point to entities in the same file (soft links) or to entities in a different files (external links). By default, the extension does not resolve such links.Link resolution must be enabled explicitly by setting the config fieldHdfConfig.resolve_linkstoTrue. For this, there are two possibilities:Set the config field when launching JupyterLab:jupyter lab --HdfConfig.resolve_links=TrueAdd the following line toyour notebook configuration filec.HdfConfig.resolve_links = TrueNote that this will only resolve valid links. Broken links (e.g. links to a non-existent entity) will still appear as links.HDF5 dataset file typeWhen you open a dataset using the hdf5 filebrowser, a document will open that displays the contents of the dataset via a grid.
Package: jupyterlab-henanigans
Henanigans Theme for JupyterLabA dark, easy-on-the-eyes theme for JupyterLab.RequirementsJupyterLab >= 3.0InstallTo install the extension, execute:pipinstalljupyterlab_henanigansUninstallTo remove the extension, execute:pipuninstalljupyterlab_henanigansContributingDevelopment 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_henanigans 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_henanigansIn 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 named@theNewFlesh/jupyterlab_henaniganswithin that folder.DockerInstalldockerInstalldocker-machine(if running on macOS or Windows)docker pull theNewFlesh/jupyterlab_henanigans:[version]docker run --rm --name jupyterlab_henanigans-prod --publish 1180:80 theNewFlesh/jupyterlab_henanigans:[version]Docker For DevelopersInstalldockerInstalldocker-machine(if running on macOS or Windows)Ensure docker-machine has at least 4 GB of memory allocated to it.git clone git@github.com:theNewFlesh/jupyterlab_henanigans.gitcd jupyterlab_henaniganschmod +x bin/jupyterlab_henanigansbin/jupyterlab_henanigans startThe service should take a few minutes to start up.Runbin/jupyterlab_henanigans --helpfor more help on the command line tool.
Package: jupyterlab-heroku
jupyterlab-herokuJupyterLab extension to manage and deploy applications to Heroku.The extension enables 1-click deployments ofvoiladashboards.RequirementsCreate an Heroku accountIf you already have an Heroku account, you can skip to the next section.You can create a new Heroku account by following these instructions:https://signup.heroku.com/Install the heroku clientYou need theherokuclient installed on your machine to be able to deploy applications. To set it up:https://devcenter.heroku.com/articles/getting-started-with-python#set-upOnce the setup is complete, test the installation with:$ heroku --version
heroku/7.26.2 linux-x64 node-v11.14.0Login to HerokuThere are different ways to login to Heroku:heroku loginwill open a new browser tab to log in with the email and passwordcreate a~/.netrcfile with the api token (seethe documentationfor more details)set theHEROKU_API_KEYenvironment variableTo test the authentication:heroku appsOther DependenciesThis extension also requires:JupyterLab 1.0gitInstallpipinstalljupyterlab-heroku
jupyterserverextensionenable--sys-prefix--pyjupyterlab_heroku
jupyterlabextensioninstalljupyterlab-herokuSince Heroku usesgitto deploy applications, it is also recommended to install thejupyterlab-gitextension for JupyterLab:pipinstalljupyterlab-git
jupyterserverextensionenable--sys-prefix--pyjupyterlab_git
jupyterlabextensioninstall@jupyterlab/gitContributingInstall# Clone the repo to your local environment# Move to jupyterlab-heroku directory# Create a new conda environmentcondacreate-njupyterlab-heroku-cconda-forgejupyterlabnodejs# Install the server extensionpython-mpipinstall-e.
jupyterserverextensionenable--sys-prefix--pyjupyterlab_heroku# Install dependenciesjlpm# Build Typescript sourcejlpmbuild# Link your development version of the extension with JupyterLabjupyterlabextensionlink.# 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--watchUninstalljupyterlabextensionuninstalljupyterlab-herokuAlternativesTo deploy Voila applications to Heroku using the command line:https://github.com/martinRenou/voila_heroku
Package: jupyterlab-hide-cells
jupyterlab-hide-cellsAJupyterLabextension.Add metadatajupyterlab-hide-cells:hiddento cells to either hide or show these.Toggle this option via right click on cell and click on "Show this cell" / "Hide this cell".Two view mode: Standard Mode hide all cells with corresponding metadata. To also show hidden cells go to View => View All Cells (incl. Hidden Cells). Within this mode, the background of the cell is light purple to show that they are normally hidden.RequirementsJupyterLab >= 3.0Tested on JupyterLab 3.2.0Node (for installation via repository clone)Install(Un-)Installation via pip directlyTo install the extension, execute:pipinstalljupyterlab-hide-cellsTo remove the extension, execute:pipuninstalljupyterlab-hide-cellsContributing(Un-)Installation via Repository CloneInstallation via pippipinstall"."Development Installation# Clone the repo to your local environment# Change directory to the jupyterlab-hide-cells 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 Uninstallationpipuninstalljupyterlab-hide-cellsIn 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-hide-cellswithin that folder.Installation via jlpmroot@device:~/jupyterlab-hide-cells$jlpm# expected output:yarninstallv1.21.1[1/4]Resolvingpackages...
successAlreadyup-to-date.
Donein0.76s.
root@device:~/jupyterlab-hide-cells$jlpmbuild:lib:prod# expected outputyarnrunv1.21.1
$tsc
Donein11.77s.
root@device:~/jupyterlab-hide-cells$jupyterlabextensioninstall.# expected output:Buildingjupyterlabassets(build:dev:minimize)T.B.D.Packaging the extensionSeeRELEASE
Package: jupyterlab-hide-code
jupyterlab-hide-code: A JupyterLab Extension to Run and Hide Source CodeA button in JupyterLab to run the code cells and then to hide the code cells.
This JupyterLab extension was inspired by thejlab-hide-codeJupyterLab
extension from Aachen (Aix) Virtual Platform for Materials Processing.RequirementsJupyterLab >= 3.0Installpipinstalljupyterlab-hide-codeUninstallpipuninstalljupyterlab-hide-codeContributingBuildThejlpmcommand 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-hide-code directory# Install dependenciesjlpm# Build Typescript sourcejlpmbuild# Link your development version of the extension with JupyterLabjupyterlabextensionlink.# 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--watchAcknowlegementsWe acknowledge support from the EPFL Open Science Fund via theOSSCARproject.