Search Results for "google-visualization-python"
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Showing 12 open source projects for "google-visualization-python"
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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 -
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Nuhe is a log monitoring system, which is capable of alarm generation and action when rules are matched against log(s) activity.
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py-rrdtool is a Python module provides an interface to RRDTool, the well known graphing/logging tool.
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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META is a decision making software which aims are to track computer attackers, computer attacks and to help investigators finding useful elements.
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Zee
Experimental lightweight editor
ZEE HAS MOVED TO GITHUB (see "Zee Web Site" link). -
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This project is an approach to automating the testing of performance properties of complex systems.Just like functional specs for software we aim to develop an executable language for asserting performance expectations of a program.This implements Sharon
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A tool to visualize interactively huge amounts of eventdata. Uses an innovative hierarchical zoomlens scaling from quarters down to 50 ms.
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FAST library for storing and displaying various types of statistics. Rock stable and robust and well-designed image output.
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Shadow Watcher is a Peer to Peer log sharing tool for the security analyst. Consider it a "community watch" program which allows you to keep your system secure from the threats on the internet and help others do the same.
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A tool suite to analyse protocol streams and whose flow characteristic. On the other side, the tool suite can be used to gather information about the network infrastructure and detect bottlenecks.
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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.
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