Metadata-Version: 2.1
Name: pyzeek
Version: 0.3.9
Summary: Zeek Analysis Tools
Home-page: https://github.com/SuperCowPowers/zat
Author: Brian Wylie
Author-email: briford@supercowpowers.com
License: Apache
Description: ## Zeek Analysis Tools (ZAT) [![travis](https://travis-ci.org/SuperCowPowers/zat.svg?branch=master)](https://travis-ci.org/SuperCowPowers/zat) [![codecov.io](http://codecov.io/github/SuperCowPowers/zat/coverage.svg?branch=master)](http://codecov.io/github/SuperCowPowers/zat?branch=master) [![supported-versions](https://img.shields.io/pypi/pyversions/zat.svg)](https://pypi.python.org/pypi/zat) [![license](https://img.shields.io/badge/License-Apache%202.0-green.svg)](https://choosealicense.com/licenses/apache-2.0)
        
        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](https://supercowpowers.github.io/zat/large_dataframes.html)
        - Better Panda Dataframe to Matrix (ndarray) support: [Dataframe To Matrix](https://supercowpowers.github.io/zat/dataframe_to_matrix.html)
        - Scalable conversion from Zeek logs to Parquet: [Zeek to Parquet](https://nbviewer.jupyter.org/github/SuperCowPowers/zat/blob/master/notebooks/Zeek_to_Parquet.ipynb)
        - Vastly improved Spark Dataframe Class: [Zeek to Spark](https://nbviewer.jupyter.org/github/SuperCowPowers/zat/blob/master/notebooks/Zeek_to_Spark.ipynb)
        - Updated/improved Notebooks: [Analysis Notebooks](#analysis-notebooks)
        
        
        ### BroCon 2017 Presentation
        
        Data Analysis, Machine Learning, Bro, and You!
        ([Video](https://www.youtube.com/watch?v=pG5lU9CLnIU))
        
        ### 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](https://supercowpowers.github.io/zat/examples.html)
        
        ### Analysis Notebooks
        
        - [Zeek to Scikit-Learn](https://nbviewer.jupyter.org/github/SuperCowPowers/zat/blob/master/notebooks/Zeek_to_Scikit_Learn.ipynb)
        - [Zeek to Parquet](https://nbviewer.jupyter.org/github/SuperCowPowers/zat/blob/master/notebooks/Zeek_to_Parquet.ipynb)
        - [Zeek to Spark](https://nbviewer.jupyter.org/github/SuperCowPowers/zat/blob/master/notebooks/Zeek_to_Spark.ipynb)
        - [Spark Clustering](https://nbviewer.jupyter.org/github/SuperCowPowers/zat/blob/master/notebooks/Spark_Clustering.ipynb)
        - [Zeek to Kafka](https://nbviewer.jupyter.org/github/SuperCowPowers/zat/blob/master/notebooks/Zeek_to_Kafka.ipynb)
        - [Zeek to Kafka to Spark](https://nbviewer.jupyter.org/github/SuperCowPowers/zat/blob/master/notebooks/Zeek_to_Kafka_to_Spark.ipynb)
        - [Clustering: Picking K (or not)](https://nbviewer.jupyter.org/github/SuperCowPowers/zat/blob/master/notebooks/Clustering_Picking_K.ipynb)
        - [Anomaly Detection Exploration](https://nbviewer.jupyter.org/github/SuperCowPowers/zat/blob/master/notebooks/Anomaly_Detection.ipynb)
        - [Risky Domains Stats and Deployment](https://nbviewer.jupyter.org/github/SuperCowPowers/zat/blob/master/notebooks/Risky_Domains.ipynb)
        - [Zeek to Matplotlib](https://nbviewer.jupyter.org/github/SuperCowPowers/zat/blob/master/notebooks/Zeek_to_Plot.ipynb)
        
        
        <img align="right" style="padding:25px" src="notebooks/images/SCP_med.png" width="160">
        
        ### 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. <a href="https://www.supercowpowers.com" target="_blank">Visit SuperCowPowers</a>
        
Keywords: Zeek,Bro,Python,Networking,Security,Scikit-Learn,Spark,Kafka,Parquet
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Description-Content-Type: text/markdown
Provides-Extra: all
