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Description:

pyzeek 0.3.9

Zeek Analysis Tools (ZAT)
The ZAT Python package supports the processing and analysis of Zeek data
with Pandas, scikit-learn, and Spark
Recent Improvements (Fall 2019):

Renamed to Zeek Analysis Tools :)
Better Docs (https://supercowpowers.github.io/zat/)
Faster/Smaller Pandas Dataframes for large log files: Large Dataframes
Better Panda Dataframe to Matrix (ndarray) support: Dataframe To Matrix
Scalable conversion from Zeek logs to Parquet: Zeek to Parquet
Vastly improved Spark Dataframe Class: Zeek to Spark
Updated/improved Notebooks: Analysis Notebooks

BroCon 2017 Presentation
Data Analysis, Machine Learning, Bro, and You!
(Video)
Why ZAT?
Zeek already has a flexible, powerful scripting language why should I use
ZAT?
Offloading: Running complex tasks like statistics, state machines,
machine learning, etc.. should be offloaded from Zeek so that Zeek can
focus on the efficient processing of high volume network traffic.
Data Analysis: We have a large set of support classes that help
bridge from raw Zeek data to packages like Pandas, scikit-learn, and
Spark. We also have example notebooks that show step-by-step how to get
from here to there.
Getting Started

Examples of Using ZAT

Analysis Notebooks

Zeek to Scikit-Learn
Zeek to Parquet
Zeek to Spark
Spark Clustering
Zeek to Kafka
Zeek to Kafka to Spark
Clustering: Picking K (or not)
Anomaly Detection Exploration
Risky Domains Stats and Deployment
Zeek to Matplotlib

Install
$ pip install zat

Documentation
https://supercowpowers.github.io/zat/
About SuperCowPowers
The company was formed so that its developers could follow their passion for Python, streaming data pipelines and having fun with data analysis. We also think cows are cool and should be superheros or at least carry around rayguns and burner phones. Visit SuperCowPowers