Flowmeter is a Scapy-based tool for deriving statistical features from PCAPs for data analysis and machine learning. The features are based on the java application Netflowmeter.

pip install flowmeter

A Flowmeter object is created by taking in a PCAP file as a parameter. Using the build_feature method, Flowmeter separates out the PCAP into distinct TCP and UDP flows. From there it begins analyzing the flow data to derive features useful for plotting, traffic pattern analysis, and machine learning.

from flowmeter.flowmeter import Flowmeter
import pandas as pd

feature_gen = Flowmeter("1548216696.814641.pcap")
df = feature_gen.build_feature_dataframe()

df.to_csv("1548216696.814641.csv")

If you would like to contribute feel free to fork the repo, clone the project, submit pull requests, open issues, or request features/enhancements.

Flowmeter is currently licensed under the GNU GPLv2.