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LogDistiller is a logfile merge and sort tool. Log content is classified according to rules configured in an XML file. Classification results go into reports, which are published : simply stored in a file, sent by mail, or even added to a news feed.
This project is devoted to analyze the log lines from the Wikipedia Squid servers by parsing and filtering their information elements according to the directives specified in an XML file. Resulting info is stored in a MySql db for further analysis.
IPHPLog (IP PHP Log) is a simple software written in PHP, JS and SQL that runs over a MySQL database manager system . IPHPLog can log the information of your visitors and organize that on a data base with GeoIP.
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A Java based web server log file analyzer. Gives you detailed knowledge of what your visitors did whilst visiting your site. Provides information on human visitors, searches, search engines, site areas, pages, visit paths and more...
Like Unix-Tail BUT:
- Runs with or without GUI
- Suspend and resume tailing at runtime
- Can monitor a set of Files
- Print output to a textfield, stdout or file
- Runs in "Grep" mode, too (Read files once)
- (Almost) the same options as Unix-Tail
Log4j Viewer is an Eclipse plugin which can read various patterns of log4j's log file and show them in a structured table view which filtering, sorting, searching may apply on.
monitors logfiles and displays in realtime. log messages may be formatted with different fonts and colors, contents can be parsed, reformated, may even trigger actions playing sounds or executing shell commands. Log can be viewed remotely via webbrowser.
Qualiweb aims at providing semantic web metrics for modeling a website visitors needs according to a given taxonomy or document classification. Web metrics provided by Qualiweb give an indication of how successful each of the website topics have been.
Auto-discovery finds your devices and deploys pre-configured sensors instantly. No project plan required, just visibility from day one.
Waiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
MakeLogic Tail is an advanced "tail -f" command with GUI. It needs JRE 5.0, hence it is 'Tail for Windows', Linux or 'Tail for Mac'. It shows the last few lines of a growing log file in real time. Provides many more easy to use features. Try it!
Insight will be an easy to use web site log file analysis tool that produces accurate, high quality graphical visitor reports. It is aimed at non-technical users, but will be highly customizable for technical users.
DNA is an open, flexible and extensible deep network analyzer software server and software architecture for gathering and analyzing network packets, network sessions and applications protocols, passively off enterprise class networks.
Web analyzer for logs from different formats, which output XML reports, multi-hosts logs file supported, possibility to apply an XSL page to ouput in HTML, and use of SVG to make the graphs.
The project includes the library to parse HTTP_USER_AGENT
IPLClient is part of a Client-Server technology for IPLocation and visualization. It will manage log-file transfer and handle data delivered by the IPLServer for proper visualization. Modules and plugins may be applied to the client.
This project is an web-based text log file processor written in Java for the analysis of log files produced by the MMORPG Vanguard: Saga of Heroes, but will expand to include other uses including other games and security log analysis.
SimpleLogViewer is Java 2 based GUI application that display logging data. Can read a file or listen over a TCP socket. Use plugins/embedded scripts to Hide, Rewrite, Colorize lines of log.
A tool to extract the information in any log file into a database. It has no inherent knowledge of particular log formats but by using inbuilt rules and asking a few simple questions should be able to parse any type of text log intelligently.