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LogNotifier is a Cocoa/PyObjC application that uses Growl to notify changes to log files (and shows the user the added lines). Later a PyGTK/PyQT frontend.
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Log and track user/computer info in MS Windows environments
A system to log and track user logons, logoffs, computer information, and statistics in a Microsoft Windows environment. It includes a client side application (veloapport.exe - intended to be run as a logon and logoff script) and an analyzer (veloapportdetective.py) reporting hardware changes and populates a computer inventory table. The client (veloapport.exe) sends user and machine information to a MySQL database server and VeloApport Detective populates a computer inventory table while...
Insidias is a next-generation intrusion detection engine, with a focus on speed, efficiency, advanced pattern matching, parallel-processing, modularity, and expandability.
A command line tool that allows you to (live) analyze netfilter (iptables) log files. It provides a nice output and has features like displaying hostnames, duplicate detection... More info (+ screenshots) can be found in the pdf inside the tarball.
Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.
Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
Non-stealth keylogger for Windows. Records mouse and keyboard (precision~10-15ms), log of events (disk size~2.5k/s) + log of operations (~ 0.2k/s). Standalone, with local copy of Python: unzip to install, delete to uninstall.NEW: hidden/visible icon
Java exception extractor. This utility will parse all files (either plain text or bzipped) and tries to search for various exceptions. It then tries to match exceptions against grouping rules (regexps). It is also able to group unrecognised exceptions.
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.
yalimon (Yet another linux monitoring tool) is a python script that runs as a cron job, gathers data from several commands, stores it in a database and then creates graphs out of it. A web interface is used to view the images and to manage the module
logProcessor is a daemon that read logfile in real-time and write to MySQL or PostgreSQL database. Have modules to split log line in table fields and writed to have a great performace.
Python gen-purpose log monitoring tool. Can track several log files at once, and trigger actions by regexp matching. Actions are defined via modules with a very simple interface to implement. It can monitor syslog as well as gather web server stats.
Kojoney is an easy of use, secure, robust and powerfull Honeypot for the SSH Service written in Python. With the kojoney daemon are distributeds other tools such as kip2country (IP to Country) and kojreport, a tool to generate reports from the log fi
A simple keylogger written in python. It is primarily designed for backup purposes, but can be used as a stealth keylogger, too. It does not raise any trust issues, since it is a set of [relatively] short python scripts that you can easily examine.
Logtool is a python script that takes the output from any logfile that has a repeated format from line to line and formats it in a number of ways, including column customisation, colour and search term highlighting.
Syslog Collector listen for syslog messages and parse them following some regular expressions. It then increment some counters which are exposed through SNMP Agent-X interface
Codes debug print statements to reduce size of debug builds, hides debug information from 3rd party people and decreases the effect of longer print lines by printing minimum number of characters to console.
BlueLogger is built using the Python programming language in order to monitor for Bluetooth devices nearby. The application can log the "Time", "Device Name" and "Device Address" of each discovered device.