Front-End-Performance-Checklist
Front-end Performance Checklist
A comprehensive performance checklist for front-end developers to identify and optimize issues in website and application performance.
🎮 The only Front-End Performance Checklist that runs faster than the others
17k stars
371 watching
1k forks
last commit: 2 months ago
Linked from 2 awesome lists
checklistcssfront-end-developer-toolfront-end-developmentfrontendguidelineshtmljavascriptlistsperformanceperformance-metricsreferenceresourcesweb-development
Related projects:
Repository | Description | Stars |
---|---|---|
| An exhaustive checklist of essential elements to include in front-end development projects | 69,196 |
| A comprehensive checklist for front-end performance optimization | 57 |
| A comprehensive checklist for front-end performance optimization | 4 |
| A checklist and resource collection for front-end developers to evaluate and improve their web applications' performance | 653 |
| A performance checklist for front-end developers to identify and improve performance issues in their projects. | 15 |
| A comprehensive checklist for evaluating the performance of web applications and websites | 4 |
| A checklist of essential front-end performance optimization rules and tools | 2 |
| A performance monitoring class for JavaScript applications. | 8,773 |
| A collection of benchmarking tests for various programming languages | 2,825 |
| A TypeScript library that provides tools for monitoring and optimizing performance in software applications. | 36 |
| A library that provides a powerful and statistically rigorous tool for measuring code performance and detecting regressions | 4,692 |
| A comprehensive checklist for web developers to ensure their websites meet basic standards and best practices. | 424 |
| Automated performance testing and analysis tool for distributed systems | 25 |
| A command-line benchmarking tool that allows users to compare and analyze the performance of different programs. | 23,321 |
| An open-source project providing benchmarks and tools to measure the performance of AI and machine learning systems. | 65 |