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Java-based framework for decoupling back-end services and front-end interfaces. Browse and interact with a database, a class library, a network, a log file, or any live java object as though it were a filesystem. (It works with filesystems too!)
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.
Enterprise is an open source monitor and advanced log parser.
Based on Enterprise ship state system controller of Star Trek, It is able to let you know about the state of your services in a given time.
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Project's new home: https://github.com/Stunner/FileZilla-Log-Analyzer
Python scripts that filter, parse, mask, and analyze FileZilla Server Log files. Works on Windows, Linux, and Mac systems.
WARNING: NEW VERSIONS ARE BEING POSTED TO GITHUB HERE: https://github.com/Stunner/FileZilla-Log-Analyzer
A configurable knowledge management framework. It works out of the box, but it's meant mainly as a framework to build complex information retrieval and analysis systems. The 3 major components: Crawler, Analyzer and Indexer can also be used separately.
The Secure Remote Log Monitor (SRLM) project provides client and server
utilities that collect application or system log files from multiple systems over an untrusted network onto a central server for analysis and action.
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.
This is a collection of REST specifications, and implementations of those specs, for very low-level information sharing and workflow operations using REST actions over HTTP.
Implementations are in various languages, mainly Java, Python, and Ruby.