Metadata-Version: 2.1
Name: bat
Version: 0.3.6
Summary: Bro Analysis Tools
Home-page: https://github.com/SuperCowPowers/bat
Author: Brian Wylie
Author-email: briford@supercowpowers.com
License: Apache
Description: ## Bro Analysis Tools (BAT) [![travis](https://travis-ci.org/SuperCowPowers/bat.svg?branch=master)](https://travis-ci.org/SuperCowPowers/bat) [![codecov.io](http://codecov.io/github/SuperCowPowers/bat/coverage.svg?branch=master)](http://codecov.io/github/SuperCowPowers/bat?branch=master) [![supported-versions](https://img.shields.io/pypi/pyversions/bat.svg)](https://pypi.python.org/pypi/bat) [![license](https://img.shields.io/badge/License-Apache%202.0-green.svg)](https://choosealicense.com/licenses/apache-2.0) 
        
        The BAT Python package supports the processing and analysis of Bro data
        with Pandas, scikit-learn, and Spark
        
        ### Recent Improvements (Fall 2019):
        - Better Docs (<https://supercowpowers.github.io/bat/>)
        - Faster/Smaller Pandas dataframes for large log files: [Large Dataframes](https://supercowpowers.github.io/bat/large_dataframes.html)
        
        ## BroCon 2017 Presentation
        
        Data Analysis, Machine Learning, Bro, and You!
        ([Video](https://www.youtube.com/watch?v=pG5lU9CLnIU))
        
        ## Why BAT?
        
        Bro already has a flexible, powerful scripting language why should I use
        BAT?
        
        **Offloading:** Running complex tasks like statistics, state machines,
        machine learning, etc.. should be offloaded from Bro so that Bro 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 Bro 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 BAT](https://supercowpowers.github.io/bat/examples.html)
        
        ### How-To Analysis Notebooks
        
        - [Bro to Scikit-Learn](https://nbviewer.jupyter.org/github/SuperCowPowers/bat/blob/master/notebooks/Bro_to_Scikit_Learn.ipynb)
        - [Bro to Matplotlib](https://nbviewer.jupyter.org/github/SuperCowPowers/bat/blob/master/notebooks/Bro_to_Plot.ipynb)
        - [Bro to Parquet to Spark](https://nbviewer.jupyter.org/github/SuperCowPowers/bat/blob/master/notebooks/Bro_to_Parquet_to_Spark.ipynb)
        - [Bro to Kafka to Spark](https://nbviewer.jupyter.org/github/SuperCowPowers/bat/blob/master/notebooks/Bro_to_Kafka_to_Spark.ipynb)
        - [Clustering: Picking K (or not)](https://nbviewer.jupyter.org/github/SuperCowPowers/bat/blob/master/notebooks/Clustering_Picking_K.ipynb)
        - [Anomaly Detection Exploration](https://nbviewer.jupyter.org/github/SuperCowPowers/bat/blob/master/notebooks/Anomaly_Detection.ipynb)
        - [Risky Domains Stats and Deployment](https://nbviewer.jupyter.org/github/SuperCowPowers/bat/blob/master/notebooks/Risky_Domains.ipynb)
        
        Install
        -------
        
            $ pip install bat
        
        Documentation
        -------------
        
        <https://supercowpowers.github.io/bat/>
        
        Thanks
        ------
        
        -   The DummyEncoder is inspired by Tom Augspurger's great PyData Chicago
            2016 [Talk](https://youtu.be/KLPtEBokqQ0)
        
        
Keywords: 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
