Open Source Python Log Management Tools
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Python Log Management Tools
View 126 business solutionsBrowse free open source Python Log Management Tools and projects below. Use the toggles on the left to filter open source Python Log Management Tools by OS, license, language, programming language, and project status.
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AlienVault OSSIM
Open Source SIEM
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 analytics dashboards and data visualization -
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Graylog Ansible Role
Ansible role which installs and configures Graylog
Ansible role which installs and configures Graylog. -
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Security Log Generator
Generates logs of typical formats that would often be found in a SOC
Generates logs of typical formats that would often be found in a SOC. As of 31st January 2023, it supports IDS, Web Access and Endpoint log formats. Can generate a specific number of events in a linear fashion or use a waveform to add 'bumpiness' to your data. The code is modular and extensible, adding additional formats can be done with relative ease. -
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This is a log management system for Twisted applications. It's a way to use python logging facilities under Twisted log environment. It contains a server for storage of log messages,and a GUI to manage logging messages browsing & log dynamic config.
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Time tracking software for the global workforceIt's easy with Hubstaff, a time-tracking and workforce management platform that automates almost every aspect of running or growing a business. Teams can track time to projects and to-dos using Hubstaff's desktop, web, or mobile applications. You'll be able to see how much time your team spends on different tasks, plus productivity metrics like activity rates and app usage through Hubstaff's online dashboard. Most of the available features are customizable on a per-user basis, so you can create the team management tool you need.
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apache-logs-to-mysql
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 in a single Python `ProcessLogs function` execution. Database system designed to accommodate unlimited domains. Step-by-step guide for easy installation. Web interface with Drill Down Capability and apache/echarts Log Visualization integration in development. MySQL apache_logs schema currently has 49 Tables, 853 Columns, 168 Indexes, 66 Views, 7 Stored Procedures and 43 Functions to process Apache Access log in 4 formats & Apache Error log in 2 formats. Database normalization at work!
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