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awesome-mac

 Now we have become very big, Different from the original idea. Collect premium software in various categories.

awesome-pcaptools

A collection of tools developed by other researchers in the Computer Science area to process network traces. All the right reserved for the original authors.

awesome-python

An opinionated list of awesome Python frameworks, libraries, software and resources.

book

:books: All programming languages books

c-project-template

A C project template with Makefile, command line options parsing, unittest using cmocka and valgrind

freebsd-src

The FreeBSD src tree publish-only repository. Experimenting with 'simple' pull requests....

ipnetwork

A library to work with CIDRs in rust --- a wren version

myvimconf

ndpi-netfilter

Netfilter kernel module for Deep Packet Inspection filtering

net-tcp-fec

Modifications to the Linux networking stack to enable forward error correction in TCP

ohmyzsh

🙃 A delightful community-driven (with 1700+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

optparse

Portable, reentrant, getopt-like option parser

pkt2flow

A simple utility to classify packets into flows. It's so simple that only one task is aimed to finish. For Deep Packet Inspection or flow classification, it's so common to analyze the feature of one specific flow. I have make the attempt to use made-ready tools like tcpflows, tcpslice, tcpsplit, but all these tools try to either decrease the trace volume (under requirement) or resemble the packets into flow payloads (over requirement). I have not found a simple tool to classify the packets into flows without further processing. This is why this program is born.

rtty

Access your terminal from anywhere via the web.

scrapy

Scrapy, a fast high-level web crawling & scraping framework for Python.