eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.

A lightweight container-based network emulation system.

Network topology map using Netbox as a data source

A vendor-agnostic NMS for carrier-grade network simulation and automation

Network Automations Fabric

A browser & editor for network configuration files.

An end-to-end Python-based Infrastructure as Code framework for network automation and orchestration.

A structured and beginner-friendly guide to the fundamentals of computer networking covering everything from IP addressing, subnetting, routing, and protocols to network security and troubleshooting.

This script is designed to analyze network traffic captured in a .pcap file using the pyshark library. // Este script está diseñado para analizar el tráfico de red capturado en un archivo .pcap utilizando la librería pyshark.

AlpiNet is a lightweight, Alpine-based Docker image designed specifically for use as a virtual PC in GNS3. It comes pre-installed with a comprehensive suite of networking utilities and tools, making it perfect for network testing, troubleshooting, and education.

Professional network engineering toolkit with 16+ tools - subnet calculator, VLSM planner, VLAN manager, routing tools, and more. Web + Electron desktop app.

This is my repo following the YouTube course "Free CCNA 200-301 Complete Course" by Jeremy's IT Lab.

Hands-on CCNA lab portfolio built in GNS3, VMware, and Cisco Packet Tracer | VLANs, routing, ACLs, NAT/PAT, troubleshooting, and network design

📟 Cable Modem firmware 💿 upgrade solution using PHP 🚀, *single file*

CLI agent for Linux server network troubleshooting and repair, with built-in tools, playbooks, plan-driven diagnosis, and human-in-the-loop confirmation.

Script Go que captura y analiza el tráfico de red y paquetes en tiempo real que pasan a través de interfaces de red. // Go script that captures and analyzes real-time network traffic passing through network interfaces.

Networking, Programming & Automation Showcases

Leonardo Furtado's Containerlab Labs

This project detects structural network anomalies using a GNN autoencoder. It contrasts this deep learning approach with the classic DBSCAN method. While DBSCAN only uses node features (CPU, RAM), the GNN learns the graph's topology to identify statistically improbable links, proving superior for structural analysis.

Comprehensive list of BGP, ASN, routing, peering, and internet infrastructure analysis tools for defenders, OSINT practitioners, and network engineers.