Showing 8 open source projects for "google-visualization-python"

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    Paessler: Easy to Use With Enterprise Power. Free Trial

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    MongoDB Atlas runs apps anywhere

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  • 1
    AlienVault OSSIM

    AlienVault OSSIM

    Open Source SIEM

    ...For more advanced functionality, AlienVault Unified Security Management (USM) builds on OSSIM with these additional capabilities: * Log management * Advanced threat detection with a continuously updated library of pre-built correlation rules * Actionable threat intelligence updates from AlienVault Labs Security Research Team * Rich analytics dashboards and data visualization
    Downloads: 41 This Week
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  • 2
    G.R.E.A.T. - Google Earth Reporting Engine and Analysis Tool The Goal of this project is to create a basic IDS interface with Google Earth. Currently generates a KML file of traceroute/whois information suitable for use in Google Earth
    Downloads: 0 This Week
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  • 3
    Scripts and tools to manage your Server.
    Downloads: 0 This Week
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  • 4
    PERL script and required environment to easily use the Afterglow software (http://afterglow.sourceforge.net/ Copyright (c) 2006 Raffael Marty) by listing the packet captures to visualize or by specifying a directory that contains the packet captures.
    Downloads: 0 This Week
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  • 5
    Kojoney is an easy of use, secure, robust and powerfull Honeypot for the SSH Service written in Python. With the kojoney daemon are distributeds other tools such as kip2country (IP to Country) and kojreport, a tool to generate reports from the log fi
    Downloads: 0 This Week
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  • 6
    TraffStats: network Traffic Statistic - is a monitoring and traffic analysis software, using SNMP to collect data from any enabled device. - has the ability to generate graphs (using jpgraph) with the option to compare and sum up different devices.
    Downloads: 0 This Week
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  • 7
    FAST library for storing and displaying various types of statistics. Rock stable and robust and well-designed image output.
    Downloads: 0 This Week
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  • 8
    This is my Master Degree project, I am trying to improve the movie prediction by using machine learning techniques, for the Netflix data set. This project is done under guidance of Dr. Richard Maclin, at University of Minnesota Duluth.
    Downloads: 0 This Week
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