Code Monkey home page Code Monkey logo

stjordanis / jupyterlab-tabular-data-editor Goto Github PK

View Code? Open in Web Editor NEW

This project forked from jupytercalpoly/jupyterlab-tabular-data-editor

0.0 2.0 0.0 4.91 MB

Manipulate your tabular data responsively and effectively within JupyterLab.

Home Page: https://github.com/jupytercalpoly/jupyterlab-tabular-data-editor/blob/master/PRESS_RELEASE.md

License: BSD 3-Clause "New" or "Revised" License

JavaScript 2.62% TypeScript 36.76% CSS 1.87% HTML 58.63% Shell 0.12%

jupyterlab-tabular-data-editor's Introduction

jupyterlab-tabular-data-editor

Manipulate your tabular data responsively and effectively within JupyterLab.

Binder Github Actions Status

EXPERIMENTAL: This extension is still in alpha. The API is subject to frequent changes.

Please contact Kalen, Logan, or Ryan if you would like to contribute!

Try our extension here!

Read more about the Jupyter Tabular Data Editor Extension in our press release!

  • Note: This is a forward-looking press release and serves to provide a vision of the final product. Not all features in this press release are currently implemented.

Check out our current progress and future plans!

See our progress as of 07/09/2020 from these slides!

View a report of our code coverage here!

Requirements

  • JupyterLab >= 2.0

Install

jupyter labextension install jupyterlab-tabular-data-editor

Contributing

Install

The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. You may use yarn or npm in lieu of jlpm below.

# Clone the repo to your local environment
# Move to jupyterlab-tabular-data-editor directory

# Install dependencies
jlpm
# Build Typescript source
jlpm build
# Link your development version of the extension with JupyterLab
jupyter labextension install .
# Rebuild Typescript source after making changes
jlpm build
# Rebuild JupyterLab after making any changes
jupyter lab build

You 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 tab
jlpm watch
# Run jupyterlab in watch mode in one terminal tab
jupyter lab --watch

Now 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).

Uninstall

jupyter labextension uninstall jupyterlab-tabular-data-editor

jupyterlab-tabular-data-editor's People

Contributors

kgoo124 avatar loganamcnichols avatar ryuntalan avatar zsailer avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.