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Apache Log Parser and Data Normalization Application
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...
The Exchange Server SMTP Log Viewer is a graphical tool developed using Python. It is designed to help system administrators and developers analyze SMTP server logs efficiently.
OSSIM, AlienVault’s Open Source Security Information and Event Management (SIEM) product, provides event collection, normalization and correlation. For more advanced functionality, AlienVault Unified Security Management (USM) builds on OSSIM with these additional capabilities:
* Log management
* Advanced threat detection with a continuously updated library of pre-built correlation rules
* Actionable threat intelligence updates from AlienVault Labs Security Research Team
* Rich...
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.
SoftCo: Enterprise Invoice and P2P Automation Software
For companies that process over 20,000 invoices per year
SoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
Main point is parsing documents with regular expression to the tree and edit them or replace some of the data, powered by your own python code. Python is very easy to understand, don`t be worried about this and try it! ;-)
Shadow Watcher is a Peer to Peer log sharing tool for the security analyst. Consider it a "community watch" program which allows you to keep your system secure from the threats on the internet and help others do the same.