Open Source PHP Log Parsers
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PHP Log Parsers
View 8563 business solutionsBrowse free open source PHP Log Parsers and projects below. Use the toggles on the left to filter open source PHP Log Parsers by OS, license, language, programming language, and project status.
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Apache Log Parser
PHP script to parser apache log
PHP script to parser apache log. You can fetch by: IP Requests Request by IP Request by day hour and much more! -
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This is a kicks and bans search engine that works with the Battlefield Server Manager from BBO. It is written in PHP/MySQL and has been tested in both Linux and Windows environments. It parses the adminlog.csv file locally or remotely via FTP.
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LAN log parser for counter-strike can be used to convert multiple names on log files to one name for every player. psychostats and HL stats don't work on LAN because of "wrong" WON IDs. and the nametrack doesn't work too, because of those nickfakers
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This is a Real-Time Stats signature for use with the selectBF log parser. It's written in PHP/MySQL and tested in both Linux and Windows environments. The script pulls data from selectBF and using the GD Library,dynamically outputs the stats to images.
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Generic log parser written in PHP for *nix systems. Log entries are analysed on the fly and consolidated into events that are similar. Results are then displayed via a webpage.
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Web based soldat statistics program for Soldat. Log parser is written in Python (hence Pie Stats); web panel is written in PHP. Stats are stored in a MySQL database. GPL Licensed.
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A complex log parser that allows for the scripting of actions, updating databases, on-the-fly configuration and much more. Aggregate logs from disparate systems (i.e. Apache, IPS/IDS and various sensors) and take action on events through external scripts
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The tribes console log parser is a perl script that will parse starsiege tribes and tribes 2 console logs. The parsed data is stored in a mysql database, and can be retrieved over the web with a supplied php file.
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Qmail log parser and vizualization. The qmail logs are parsed and put in a MySQL database accesible from a web interface. The web interface offers also various statistics build on the parsed logs.
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