Practicing website optimization by analyzing the critical render path, identifying code bottlenecks with Chrome Dev Tools, and minifying website assets.
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Updated
Nov 30, 2016 - JavaScript
Practicing website optimization by analyzing the critical render path, identifying code bottlenecks with Chrome Dev Tools, and minifying website assets.
Gather common performance metrics from a website like Time To Interactive (TTI) and DOMContentLoaded
Chrome extension to run multiple performance tests with one single click
Generates, adds & updates manually/automatically Lighthouse badges & reports from 1,2... URL(s) to 1,2... repo(s) in parallel
I worked on Wordpress live site www.yournightinn.com for speed optimization and I got good results. here are the before and after results of speed optimization.
🚀 A PHP library that focuses on minimizing payload size of HTML document and optimizing page speed.
Curated list of practices for better performance and SEO.
WordPress plugin
✅ List of links to the various checkers out there on the web for sites, domains, security etc.
website performance dashboard on google search console data
GitHub Action for running @GoogleChromeLabs Lighthouse audits with all the bells and whistles 🔔 Multiple audits, Slack notifications, and more!
An NPM module for automated Lighthouse audits.
A command-line interface (CLI) utility written in pure Python to help you reduce the file size of images.
The source for my private website powered by hugo a static code generators and typescript/node based CLI to fetch my content from various sites..
A simple static website created with jekyll
This project will extract, analyze website traffic and performance data from the eCommerce database to quantify the company’s growth and tell story of it
This project is designed to assess website load performance under various conditions using Apache JMeter. This tool simulates virtual users and provides insights into metrics such as response times, throughput, and error rates, helping to evaluate and optimize website performance.
Used SQL in Google BigQuery to analyze e-commerce data focusing on user interactions, shopping patterns, and product performance metrics to drive marketing decisions.
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