There are 0 repository under log-processing topic.
Dynatrace FM-Index library
This Python script automates the extraction of user identifiers (userCode and userId) from log files across multiple directories. It processes each log file, extracts unique identifiers, and saves them to a CSV file for easy analysis. This tool is useful for efficiently identifying and consolidating user information from large sets of log data.
EHR pipeline that simulates MIMIC-IV patient data streams, performs advanced feature engineering and clinical severity scoring using machine learning (Random Forest Classifier), and prepares structured outputs for scalable downstream analytics
Node application which uses a Selenium web driver to go through each of the required steps involved in the booking of an appointment at Berlin's immigration office (a.k.a. LEA) online portal.
Blazing fast embedded SQL database for append-only workloads.
Web server access log processing tool. Log processor for SBOanalytics
ComboBullet is a versatile log processing and credential extraction toolkit for Windows. It offers multiple features to filter, extract, and manage credentials and cookie data from raw .txt files. This tool is particularly useful for combo scrapers, data analysts, and penetration testers.
Ask Ubuntu Logs analysis with PySpark on GCP | Pipeline with Airflow (Cloud Composer)
data-structures-algorithms
Asynchronous log metrics collector in Python — collects, aggregates, and exposes metrics from log streams for monitoring systems
Skript pro zpracování logů fiktivní kryptoměnové burzy.
A modular, flow-based syslog processor written in Python, designed for structured log pipelines, JSON output, and modern deployments.
Lightweight, test-driven coding agent that discovers subprojects, runs their tests, and applies minimal, test-validated fixes — built for the HackerRank "Build Your Own Coding Agent" hackathon (5–8 Sep 2025).
Built a Go-based platform for real-time log processing, SQL data storage, and automated HTML/CSV reporting with concurrency, scheduling, and alerting capabilities.
Designed and implemented scalable data workflows using Hadoop, Hive, and Sqoop. This project involved log aggregation, airline delay analysis, word frequency processing, and TF-IDF computation across multiple datasets using MapReduce, Hive queries, and Hadoop Streaming.
A real-time security monitoring system that combines the ELK Stack (Elasticsearch, Logstash, Kibana) with Ollama's AI models (like Phi-3-mini) to automatically detect and analyze security threats in logs. Ideal for identifying brute-force attacks, SQLi, XSS, and more—with actionable insights visualized in Kibana dashboards.