Search Results for "libtogl.so.2"

Apache Log Parser and Data Normalization Application Python handles File Processing & MySQL handles Data Processing ApacheLogs2MySQL consists of two Python Modules & one MySQL Schema to automate importing Access & Error files and normalizing data into database designed for reports & data analysis. Runs on Windows, Linux and MacOS & tested with MySQL versions 8.0.39, 8.4.3, 9.0.0 & 9.1.0. 4 LogFormats & 2 ErrorLogFormats can be loaded and 5 MySQL Stored Procedures can be processed in a single Python `ProcessLogs function` execution. ...

This is a web log file analyzer we are making using python. First the IIS parsing engine wil be built and then Apache and possibly other servers. It is going to support multiple log files from any date and output the statistics in html formatted files, incorporating automatically build charts. It will be a pure python solution which is going to be self contained, ie no installation will be required other from the standard python modules.

Graphize logs on the web browser. Fast javascript implementation needed with large monitor use.

This project (ICAL - Intelligent Collector Algorithms) presents a flexible and configurable proposal for monitoring and management of real and virtual HPC infrastructures, compatible with paradigm of cloud computing. Made for LINUX. Note: This is not a calendar. This project can now be found here: https://sourceforge.net/projects/theminder/

Use python to parse privoxy log in clf format and refer to wot ratings of the site and then dump the data in a sqlite database for statistics generation later.

d3vscan is a simple yet powerful network and Bluetooth scanner which is based on PyGTK.

process runtime detection with xml/image statistic output - like xfire .com

META is a decision making software which aims are to track computer attackers, computer attacks and to help investigators finding useful elements.

A multiplatform visual implementation of the Unix utility grep

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.

A python based adaptive network analyzer. The aim of the project is to identify illegitimate uses of bandwidth in a network. Uses tshark for network data gathering.