
Security News
The Hidden Blast Radius of the Axios Compromise
The Axios compromise shows how time-dependent dependency resolution makes exposure harder to detect and contain.
P-Loading is a powerful jQuery plugin, for faster and easier web development, which allows you to have a main loading mask platform that is able to use many different spinners by installing P-Loading add-ons.
How many projects need a loading mask and how many times we create the same functionality again, and again?
Don't repeat yourself, use P-Loading and have free choice of use the spinner you want.
We are currently trying to include all the popular spinners of the web into P-Loading add-ons

https://jsfiddle.net/bupph5v6/5/
p-loading/
├── dist/
│ ├── js/
│ │ ├── p-loading.js
│ │ └── p-loading.min.js
│ └── css/
│ ├── p-loading.css
│ └── p-loading.min.css
├── src/
│ ├── js/
│ │ └── p-loading.js
│ └── css/
│ └── p-loading.css
├── .editorconfig
├── .gitignore
├── .jshintrc
├── .travis.yml
├── Gruntfile.js
└── package.json
Version: 1.2.0



http://joseshiru.github.io/p-loading/
https://github.com/joseshiru/p-loading/blob/master/DOCUMENTATION.md
We need more contributions, so, your help is well welcomed :)
FAQs
Loading mask plugin for jQuery.
The npm package p-loading receives a total of 50 weekly downloads. As such, p-loading popularity was classified as not popular.
We found that p-loading demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Security News
The Axios compromise shows how time-dependent dependency resolution makes exposure harder to detect and contain.

Research
A supply chain attack on Axios introduced a malicious dependency, plain-crypto-js@4.2.1, published minutes earlier and absent from the project’s GitHub releases.

Research
Malicious versions of the Telnyx Python SDK on PyPI delivered credential-stealing malware via a multi-stage supply chain attack.