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Open Source CAI Framework Handles Pen Testing Tasks up to 3,600× Faster Than Humans
CAI is a new open source AI framework that automates penetration testing tasks like scanning and exploitation up to 3,600× faster than humans.
LinkedIn's JavaScript viewport tracking library and IntersectionObserver polyfill. Track what the user actually sees.
import { IntersectionObserver } from 'spaniel';
new IntersectionObserver((entries) => { console.log('I see you') }, {
threshold: 0.5
}).observe(document.getElementById('my-element'));
Practical uses included:
Spaniel provides additional abstractions on top of IntersectionObserver, provides APIs for hooking into the low-level internals, and has some limitations as a non-complete polyfill. Learn more by reading the Usage and API Docs.
requestAnimationFrame
requestAnmiationFrame
task/utility APISpaniel has both unit tests and a headless test suite. The headless tests are run using Nightmare.
Checkout size.txt to see the current minified UMD gzipped size.
You can also run npm run stats
to measure locally.
Spaniel is a standard NPM/CommonJS module. You can use a build tool like browserify or webpack to include Spaniel in your application.
If you're using rollup, an ES6 version is built at /exports/es6/spaniel.js
(as noted by jsnext:main
in package.json
).
Alternatively, running npm run build will generate a UMD file at /exports/spaniel.js
, and a minified UMD file at /exports/min/spaniel.js
. You can use the minified file in production.
The Spaniel source code is written in TypeScript.
You will need testem
installed globally to run the tests.
npm install -g testem
You will also need to install phantom.js globally.
// Install dependencies
npm install
// Run build
npm run build
// Watch and auto-rebuild
npm run watch
// Serve test app
npm run serve
// Run the tests
npm run test
Copyright 2017 LinkedIn Corp. All rights reserved.
FAQs
LinkedIn's viewport tracking library
We found that spaniel demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 6 open source maintainers collaborating on the project.
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