CloudflareSpeedTest is a CLI tool written in Go that measures latency and download speed of Cloudflare CDN IP addresses to find the fastest ones for users in China, where many Cloudflare IPs are suboptimal. It reads IP ranges from files (ip.txt/ipv6.txt) or command-line arguments, performs concurrent TCP or HTTP ping tests, filters results by latency/loss rate, then conducts HTTP download speed tests on the lowest-latency IPs. The final output is a sorted list of the best IPs displayed in the console and saved to a CSV file. The tool supports extensive customization: thread count, ping count, port, download test duration, speed/latency thresholds, colocation filtering via HTTP headers, and debug logging. It also includes helper scripts for automatically updating system hosts files, 3proxy configurations, or Cloudflare DNS records with the optimal IP. The architecture is a single binary with modular task files (tcping, httping, download, ip parsing) and utility modules (color output, CSV export, progress bar). External dependencies are minimal: ewma for moving average, pb for progress bars, and color for terminal colors. The codebase is well-structured with clear separation of concerns, though it lacks automated tests and CI pipelines. It is a practical, community-driven tool with over 29k stars, actively maintained with recent commits and responsive issue triage.
This repository is an automated IPTV channel source scraper and validator, primarily targeting Chinese hotel and groupcast (็ปๆญ) streams. The system uses Selenium with headless Chrome to scrape search engines like FOFA and ZoomEye for IPTV-related URLs, then brute-force scans IP ranges to discover accessible streaming servers. It downloads sample TS segments from discovered m3u8 streams to measure download speed and optionally validate resolution using OpenCV. The output is a curated playlist in both CSV and M3U formats (itvlist.txt, itvlist.m3u) organized into categories like ๅคฎ่ง้ข้, ๅซ่ง้ข้, and ๅ ถไป้ข้. The project includes multiple execution scripts (itv.py, new.py, itv_all.py, ZHGXTV.py) and a GitHub Actions workflow for daily automated runs. While functional, the codebase suffers from hardcoded IP lists, fragile error handling, tight coupling, and reliance on external services that may change. It is a pragmatic tool rather than a polished application.