Displaying 1 to 20 from 79 results

jupyterlab - JupyterLab computational environment.

  •    Javascript

An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. Currently ready for users. JupyterLab is the next-generation user interface for Project Jupyter. It offers all the familiar building blocks of the classic Jupyter Notebook (notebook, terminal, text editor, file browser, rich outputs, etc.) in a flexible and powerful user interface. Eventually, JupyterLab will replace the classic Jupyter Notebook.

orchest - Build data pipelines, the easy way 🛠️

  •    Python

No frameworks. No YAML. Just write Python and R code in Notebooks. 💡 Watch the full narrated video to learn more about building data pipelines in Orchest.

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.

python-training - Python training for business analysts and traders

  •    Jupyter

Python training for business analysts and traders. This course is designed to be an introduction to numerical computing and data visualization in Python. It is not designed to be a complete course in Computer Science or programming, but rather a motivational demonstration of how relatively complex topics can be accessible even to those without formal progamming backgrounds.

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.

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.


  •    TypeScript

A JupyterLab extension for dask.

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.

jupyterlab-demo - Demonstrations of JupyterLab

  •    Jupyter

This repository contains some demonstrations of JupyterLab, the next generation user interface of Project Jupyter. The default environment name is jupyterlab-demo.

jupyterlab-git - A Git extension for JupyterLab

  •    TypeScript

If you would like to contribute to the project, please read our contributor documentation. JupyterLab follows the official Jupyter Code of Conduct.

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