Metadata-Version: 2.1
Name: jupyterlab-nvdashboard
Version: 0.7.0a2107114
Summary: A JupyterLab extension for displaying GPU usage dashboards
Home-page: https://github.com/rapidsai/jupyterlab-nvdashboard
Author: NVDashboard Contributors
License: BSD-3-Clause
Description: # jupyterlab_nvdashboard
        
        ![Github Actions Status](https://github.com/rapidsai/jupyterlab-nvdashboard/workflows/Build/badge.svg)
        
        A JupyterLab extension for displaying GPU usage dashboards
        
        
        This extension is composed of a Python package named `jupyterlab_nvdashboard`
        for the server extension and a NPM package named `jupyterlab-nvdashboard`
        for the frontend extension.
        
        
        ## Requirements
        
        * JupyterLab >= 3.0
        
        ## Install
        
        ```bash
        pip install jupyterlab_nvdashboard
        ```
        
        
        ## Troubleshoot
        
        If you are seeing the frontend extension, but it is not working, check
        that the server extension is enabled:
        
        ```bash
        jupyter server extension list
        ```
        
        If the server extension is installed and enabled, but you are not seeing
        the frontend extension, check the frontend extension is installed:
        
        ```bash
        jupyter labextension list
        ```
        
        
        ## Contributing
        
        ### Development install
        
        Note: You will need NodeJS to build the extension package.
        
        The `jlpm` command is JupyterLab's pinned version of
        [yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use
        `yarn` or `npm` in lieu of `jlpm` below.
        
        ```bash
        # Clone the repo to your local environment
        # Change directory to the jupyterlab_nvdashboard directory
        # Install package in development mode
        pip install -e .
        # Link your development version of the extension with JupyterLab
        jupyter labextension develop . --overwrite
        # Rebuild extension Typescript source after making changes
        jlpm run build
        ```
        
        You 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.
        
        ```bash
        # Watch the source directory in one terminal, automatically rebuilding when needed
        jlpm run watch
        # Run JupyterLab in another terminal
        jupyter lab
        ```
        
        With 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, the `jlpm run build` command 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:
        
        ```bash
        jupyter lab build --minimize=False
        ```
        
        ### Uninstall
        
        ```bash
        pip uninstall jupyterlab_nvdashboard
        ```
        
        Releases for both packages are handled by [gpuCI](https://gpuci.gpuopenanalytics.com/job/rapidsai/job/gpuci/job/jupyterlab-nvdashboard/). Nightly builds are triggered when a push to a versioned branch occurs (i.e. `branch-0.5`). Stable builds are triggered when a push to the `main` branch occurs.
        
Keywords: Jupyter,JupyterLab,JupyterLab3
Platform: Linux
Platform: Mac OS X
Platform: Windows
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Framework :: Jupyter
Requires-Python: >=3.7
Description-Content-Type: text/markdown
