npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

jupyterlab_voyager_test

v0.1.7

Published

A JupyterLab extension for rendering CSV

Downloads

6

Readme

jupyterlab_voyager

npm Travis branch

A JupyterLab MIME renderer extension to view CSV and JSON data in Voyager 2.

Screen shot showing data file opened in Voyager in JupyterLab

Prerequisites

  • JupyterLab

Installation

jupyter labextension install jupyterlab_voyager

You can also use this with the Docker base images:

FROM jupyter/minimal-notebook
RUN jupyter labextension install jupyterlab_voyager
CMD start.sh jupyter lab

Then right click on any csv, tsv, json or vl.json file click "Open with...", then "Voyager".

Development

For a development install (requires npm version 4 or later and yarn), do the following in the repository directory:

yarn install
jupyter labextension link .

Then build the files and start Jupyter Lab:

yarn watch
# in new window
jupyter lab --port=8889 --watch

Reload the page to see new code changes.

Docker

If you have Docker version >= 17.09.0-ce installed, you can also do all of the above with:

docker-compose up

If you change the installed packages, you have to remove the existing volume and rebuild the images:

docker-compose down -v
docker-compose build

Future Work

This extension provides a bare minimum integration with Voyager. It would be great to support features like:

  • Save Voyager state in widget, so that when window is reloaded it will preserve what you have selected.
  • Allow viewing Pandas dataframes in the notebook with Voyager.

Created using JupyterLab extension-cookiecutter-ts.