nfstream is a python framework for network data analysis. It provides fast, expressive and flexible data structures that are designed to work with offline or online network data. nfstream is a high-level building block with a fundamental structure and can perform real-world and practical analysis of network data using Python.
nfstream: Flexible Network Data Analysis Framework
This framework works as a high-level building block to carry out a flexible analysis of network data. It has expressive, flexible and fast data structures to handle the online or offline network data. nfstream has the abilities and aims to become the most common processing framework to perform network data analysis for researchers and provide reproducibility of data during experiments.
How it works?
- Performance: nfstream performs fast as 10 times faster due to
pypy3support. A memory footprint and a small CPU enhance the performing ability of the nfstream.
- Layer-7 visibility: deep packet inspection engine for depends on the nDPI. nfstream performs reliable data extraction and identification of encrypted applications.
- Flexibility: it provides more flexibility due to NFPlugin.
- Machine Learning oriented: Add a trained model as NFPlugin.
- Linux, MacOS
Install the latest version of nfstream using binary installers:
$ python3 -m pip install nfstream
To build from source, run the following commands:
$ sudo apt-get install autoconf automake libtool pkg-config libpcap-dev $ git clone https://github.com/aouinizied/nfstream.git
Then now go to nfstream directory and run:
$ cd nfstream $ python3 -m pip install -r requirements.txt $ python3 setup.py bdist_wheel
$ brew install autoconf automake libtool pkg-config $ git clone https://github.com/aouinizied/nfstream.git $ cd nfstream $ python3 -m pip install -r requirements.txt $ python3 setup.py bdist_wheel