Search Results for "command line client"
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Showing 9 open source projects for "command line client"
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Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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Web Forensik
PHPIDS-based Security Log Analyzer for Apache
NOTE: This project is no longer under active developement. Check out the successor at: https://github.com/jensvoid/lorg Web Forensik ist a script that uses PHPIDS to automatically scan your HTTPD logfiles for attacks against web applications. Check the Wiki for installation, configuration, usage. -
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MySQL log analyzer and profiler. Extracts the most popular queries grouping them by their normalized form and shows the statistics for each group. Helps developers to recognize most frequently run queries to be able to optimize overall db performance.
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Awardco Employee RecognitionEverything you love about Amazon is now available for rewards and recognition. Awardco has partnered with Amazon Business to bring millions of reward choices, lower vendor fees and dollar-for-dollar recognition spend to your organization. More choice, more capability, and less spend - all in one simple platform.
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AWStats Enterprise Manager is a tool for managing awstats configuration creation and logfile processing, in a multi-server environment. This script is designed to pull all the webserver logs, for every server, and parse them with awstats.
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The first open source Web 2.0 website log analyzer, OWS uses PHP and jQuery to provide a powerful and intuitive interface to manipulate website log data stored in a MySQL database. Has a simple plugin system so you can create custom output as well.
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Ida, is a Apache log security analyzer written in PHP. It will scan Apache logs and report about security incidents like SQL injections, XSS attacks, path traveling and so on.
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StatViz is a web log analysis / statistics program in PHP for visualizing web traffic. StatViz produces two types of graphical reports: 1) aggregate clickstream analysis and 2) individual session tracks. The DOT output is visualized using GraphViz.
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