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

@vscode/jupyter-ipywidgets

v1.0.9

Published

- We have built a custom solution based on `web3` sample to host ipywidgets outside of `Jupyter Notebook`.

Downloads

75

Readme

This folder is based off the the sample web3 from https://github.com/jupyter-widgets/ipywidgets/blob/master/examples/web3

  • We have built a custom solution based on web3 sample to host ipywidgets outside of Jupyter Notebook.

Warning

  • Most of the code has been copied as is from https://github.com/jupyter-widgets/ipywidgets/blob/master/examples/web3 & https://github.com/jupyter-widgets/ipywidgets/blob/master/packages/html-manager/webpack.config.js.
    • Please try to minimize changes to original code to facilitate easier updatess.

Solution for IPywidgets

  • IPywidgets traditionally use requirejs.
    • traditionally as there seems to be some ongoing work to use commonjs2, though unsure how this will work with 3rd party widgets.
  • Using 3rd party widgets require:
    • requirejs to be available in the current browser context (i.e. window)
    • Base IPywidgets to be defined using define in requirejs.
  • Rather than bundling using amd or umd its easier to just import everything using commonjs2, then export for requirejs using define by hand.
    • define('xyz', () => 'a') is a simple way of declaring a named xyz module with the value a (using requirejs).
    • This is generally done using tools, however we'll hand craft this as it works better and easier.
    • amd is not what we want, as out react ui doesn't use amd.
    • umd is does not work as we have multiple entry points in webpack.
    • Heres' the solution define('@jupyter-widgets/controls', () => widgets);
  • We bundling the widget controls into our JS and exposing them for AMD using define
    • We could instead include https://unpkg.com/browse/@jupyter-widgets/[email protected]/dist/embed-amd.js
    • However this is a 3.2MB file.
    • Then our Widget manager also needs the widget controls. That would mean widget controls get included twice, once in our bundle and the other in the above mentioned embed-amd.js file.
    • Solution is to include everything thats in embed-amd.js into our bundle.
  • We need types for requirejs, but installing this into node_modules, for extension causes conflicts as we use require in standard node (extension and UI).
    • Solution is to just copy the @types/requirejs/index.d.ts into the types folder.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

Directions for building

You might want to setup an npm link for the python repository

  • git clone https://github.com/microsoft/vscode-jupyter.git
  • git clone https://github.com/microsoft/vscode-jupyter-ipywidgets.git
  • cd vscode-jupyter-lsp-ipywidgets
  • npm link
  • cd ..\vscode-jupyter
  • npm link @vscode/jupyter-ipywidgets (the name of the node module in python)

Then to build vscode-jupyter-ipywidgets

  • npm run download-api (updates vscode.d.ts)
  • npm run webpack (which will setup stuff for using with vscode-python)

Directions for debugging with jupyter extension

  • Run the steps above for getting the npm link setup
  • From with VS code, open both jupyter and lsp-middleware as two folders
  • Build the 'webpack link' task for lsp-middleware
  • Build the compile task for jupyter
  • Set breakpoints in the dist/node/index.js file while debugging (it's a development webpack)
  • Edit lsp code
  • Rerun the 'webpack link' build every time (it doesn't watch as it runs a post build step)