Search Results for "convert php to html"
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Showing 9 open source projects for "convert php to html"
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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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MRTG Traffic Utilization (mrtgtu) is a simple PHP script that reads your MRTG log files and will display the total amount of traffic for a given time period. Output is in east-to-read HTML and fully customizable via CSS.
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ClickHeat is a visual heatmap of clicks on a HTML page, showing hot and cold click zones. Requires Javascript on the client to track clicks, PHP and GD on the server to log clicks and generate the heatmap. You should download it on Github where the project has moved: https://github.com/dugwood/clickheat
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Webstats Solr is an attempt to make Apache Access log easier to Data Mine. By adding a powerful Search Engine (SOLR) as a Backend and using Java Script and HTML and maybe PHP I hope to out date AWStats.
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Simple Bash script to analyze logs made by iptraf. Displays results in basic html or xml. See Home Page for details.
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Apache Hourly Stats starts like an excesively simple PHP script which generates an HTML report from an Apache access_log file. The statistics it provides are mainly unique IP adresses per hour and per day. I didn't find existing log analyzers which provi
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TCPIPTraff simply monitors the traffic of a network interface and generates a HTML output. You need perl, perl-DBI, mysql, apache, php
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Packet2sql will convert any text file/log file which contains ipchains packet logs into a stream of SQL inserts which can be used as the base for a firewall-analyzing database application.
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SALMON or Servers Alive Monitoring System is a data scraper and mimic panel for the Servers Alive system. It uses PHP and MySQL to scrape data from a Servers Alive HTML page and dump it into a database.
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