Displaying 1 to 20 from 65 results

nbdime - Tools for diffing and merging of Jupyter notebooks.

  •    Python

nbdime provides tools for diffing and merging of Jupyter Notebooks. See the installation docs for more installation details and development installation instructions.

ipywidgets - Interactive Widgets for the Jupyter Notebook

  •    TypeScript

ipywidgets are interactive HTML widgets for Jupyter notebooks and the IPython kernel. Notebooks come alive when interactive widgets are used. Users gain control of their data and can visualize changes in the data.

ipympl - Matplotlib Jupyter Integration

  •    TypeScript

Leveraging the Jupyter interactive widgets framework, ipympl enables the interactive features of matplotlib in the Jupyter notebook and in JupyterLab. Besides, the figure canvas element is a proper Jupyter interactive widget which can be positioned in interactive widget layouts.




ipyleaflet - A Jupyter - Leaflet.js bridge

  •    Javascript

A Jupyter / Leaflet bridge enabling interactive maps in the Jupyter notebook.

what-if-tool - Source code/webpage/demos for the What-If Tool

  •    HTML

The What-If Tool (WIT) provides an easy-to-use interface for expanding understanding of a black-box classification or regression ML model. With the plugin, you can perform inference on a large set of examples and immediately visualize the results in a variety of ways. Additionally, examples can be edited manually or programmatically and re-run through the model in order to see the results of the changes. It contains tooling for investigating model performance and fairness over subsets of a dataset. The purpose of the tool is that give people a simple, intuitive, and powerful way to play with a trained ML model on a set of data through a visual interface with absolutely no code required.

awesome-jupyter - A curated list of awesome Jupyter projects, libraries and resources

  •    

A curated list of awesome Jupyter projects, libraries and resources. Jupyter is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Your contributions are always welcome! Please take a look at the contribution guidelines first.

jupyterlab-nvdashboard - A JupyterLab extension for displaying dashboards of GPU usage.

  •    Python

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. Note: You will need NodeJS to build the extension package.


ipygany - 3-D Scientific Visualization in the Jupyter Notebook

  •    Python

ipygany is an early developer preview. Features and implementation are subject to change. Most of those features are very fast, because they are computed entirely on the GPU.

jupyterlab-dash - An Extension for the Interactive development of Dash apps in JupyterLab

  •    Python

This project has been replaced by the more capable JupyterDash project, and is no longer maintained. JuptyerDash supports multiple Jupyter contexts (not only JupyterLab), supports Windows as well as Linux and MacOS, supports JupyterLab 2.0, and adheres more closely to the traditional Dash API. Note: For use in JupyterLab, JupyterDash makes use of the jupyterlab-dash JupyterLab extension that was originally developed in this repository. Development of this extension has also been moved to the JupyterDash repository.

scriptedforms - Quickly create live-update GUIs for Python packages using Markdown and simple HTML elements

  •    TypeScript

Making GUIs easy for everyone on your team. The primary benefit is that front ends for Python code become easily accessible to everyone on your team. Easy to use, easy to update, easy to extend, and easy to understand.

jupyter-matplotlib - Matplotlib Jupyter Extension

  •    Javascript

Leveraging the Jupyter interactive widgets framework, jupyter-matplotlib enables the interactive features of matplotlib in the Jupyter notebook and in Jupyterlab. Besides, the figure canvas element is a proper Jupyter interactive widget which can be positioned in interactive widget layouts.

jupyterlab_templates - Support for jupyter notebook templates in jupyterlab

  •    Python

The extension will search subdirectories of each parent directory specified in template_dirs for templates. Note! Templates in the parent directories will be ignored. You must put the templates in subdirectories, in order to keep everything organized. If include_default = True the notebook_templates directory under the jupyter data folder is one of the default parent directories. Thus, if you have tutorials or guides you'd like to install for users, simply copy them into your jupyter data folder inside the notebook_templates directory, e.g. /usr/local/share/jupyter/notebook_templates/bqplot for bqplot.

jupyterlab_vim - *ALPHA* Vim notebook cell bindings for JupyterLab

  •    TypeScript

WARNING This package is very early in development and may eat all your data! If you are still interested in trying it out I welcome help and feedback. I've been using jupyterlab's gitter to solve issues.

extension-cookiecutter-js - A cookiecutter recipe for building JupyterLab extensions.

  •    Python

Install cookiecutter. Use cookiecutter to generate a package, following the prompts to fill in the name and authorship of your new JupyterLab extension.

extension-cookiecutter-ts - A cookiecutter recipe for JupyterLab extensions in Typescript

  •    TypeScript

Install cookiecutter. Use cookiecutter to generate a package, following the prompts to fill in the name and authorship of your new JupyterLab extension.

jupyter-renderers - Renderers and renderer extensions for JupyterLab

  •    Jupyter

This is a monorepo that consists of generic renderers for common file types and mime types as well as renderer extensions for JupyterLab. If you would like to contribute to the project, please read our contributor documentation.

jupyterlab-celltags - A JupyterLab extension for notebook cell tags

  •    TypeScript

The JupyterLab cell tags extension enables users to easily add, view, and manipulate descriptive tags for notebook cells. The extension includes the functionality to select all cells with a given tag, supporting the performance of any operation on those cells. If you would like to contribute to the project, please read our contributor documentation.






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