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

knic-jupyter

v0.1.15

Published

A JupyterLab extension.

Downloads

20

Readme

knic-jupyter

Jupyter Lab for the KNIC Project at USC ISI (Information Sciences Institute)

Installation

Follow the steps below to install knic-jupyter:

git clone [email protected]:usc-isi-i2/knic-jupyter.git
cd knic-jupyter
conda create --name knic-jupyter python=3.8 -y
conda activate knic-jupyter
pip install knic-jupyter

Running the lab

To run jupyter lab you can use this predefined script:

./run-jupyter-lab.sh

Adding notebooks

You might want to copy the notebooks that you want to work on, for example:

git clone [email protected]:usc-isi-i2/knic-notebooks.git notebooks

From there, if any additional dependencies are required you can install those using conda install <package-name> or pip install <package-name>

Development

KNIC Jupyter lab extension is pre-built with knic-engine location set to https://knic.isi.edu/engine

If you are running knic-engine locally for development purposes, i.e. on http://localhost:5642/knic, you could add a --develop flag to the run-jupyter-lab.sh command. This will change the endpoint of knic-engine from our production setting, to your local setting.

For example:

./run-jupyter-lab.sh --develop

NOTE: It might take a little longer to spin up jupyter lab if the knic-engine endpoint changed as we would need to rebuild our extension.