Browser Detection for Laravel by hisorange!
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Updated
Dec 10, 2024 - PHP
Browser Detection for Laravel by hisorange!
Ruby gem to detect bots and crawlers via the user agent
Golang module to detect bots and crawlers via the user agent
Detect bots/crawlers/spiders using the user agent string.
Rust library to detect bots using a user-agent string
Final project of Rahnema College internship. Crawler detection using unsupervised learning methods.
Browser Detection for Laravel.
Pipeline de ML aplicado para analizar Vercel Log Drains, clasificar comportamiento de bots/crawlers y generar señales para revisión de tráfico web en una interfaz de Next.JS.
Offline IP/CIDR/ASN intelligence resolver with provenance, freshness, and explainable infrastructure context.
Controlled bait for AI crawlers, agents, and RAG systems.
I work with IP data, ASN, VPN detection, and network analytics.
A PHP-based application for detecting and logging bot activity on your website. This project utilizes CrawlerDetect to differentiate between human users and crawlers, storing relevant data in a MySQL database.
Online User-Agent parser for browser, operating system, device and crawler detection.
Interactive crawler IP intelligence dashboard for search, AI, and user-triggered fetchers.
Fast, MIT-licensed JavaScript user agent parser — browser, engine, OS, CPU & device detection plus built-in bot, AI-crawler (GPTBot, ClaudeBot), and Client Hints support.
Lightweight Python SDK for Moonito visitor analytics and filtering. Protect web apps from bots and malicious traffic. Works with Flask, Django, FastAPI.
A 2 months internship program at rahnema college
Baskerville Wordpress Plugin
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