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website-performance

Here are 25 public repositories matching this topic...

lighthouse-badger-action

Traffic Torch – A fast, client-side SEO analysis suite built with Vite, Tailwind, Alpine.js, and TensorFlow.js. Features AI-content probability detection, UX frustration signals, intent alignment, topical authority gaps, predictive rank health, E-E-A-T checks, core vitals, and shareable reports.

  • Updated May 16, 2026
  • HTML

A data-driven A/B testing project comparing website performance under Light and Dark themes. Analyzes user engagement metrics using statistical tests, correlation analysis, and predictive modeling to identify behavioral patterns and theme effectiveness. Built in Python using Jupyter Notebook with pandas, seaborn, and scikit-learn.

  • Updated May 9, 2025
  • Jupyter Notebook

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.

  • Updated Nov 6, 2024
  • XML

Web-PSQC is a global certification service that evaluates website performance, security, quality, and content through 16 independent tests. Results are issued as certificates with QR verification, providing objective credibility and measurable SEO impact.

  • Updated Sep 21, 2025

DevTeam-TestλŠ” PSQC 기반 μ’…ν•© μ›Ή ν’ˆμ§ˆ ν…ŒμŠ€νŠΈ ν”Œλž«νΌμž…λ‹ˆλ‹€. ν•œ 번의 ν…ŒμŠ€νŠΈλ‘œ μ„±λŠ₯, λ³΄μ•ˆ, ν’ˆμ§ˆ, μ½˜ν…μΈ λ₯Ό λͺ¨λ‘ μ§„λ‹¨ν•˜λ©°, 8개 κΈ€λ‘œλ²Œ 리전 속도 μΈ‘μ •, OWASP λ³΄μ•ˆ 검사, Lighthouse ν’ˆμ§ˆ 평가, SEO 뢄석을 μ œκ³΅ν•©λ‹ˆλ‹€. 업계 ν‘œμ€€ 도ꡬ듀을 ν†΅ν•©ν•˜μ—¬ 과학적인 μ›Ήμ‚¬μ΄νŠΈ 진단을 μ§€μ›ν•©λ‹ˆλ‹€.

  • Updated Sep 21, 2025

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