log-processing

An Intelligent Log Analyzer Solution using NLP and Language Models

Dynatrace FM-Index library

Pokémon Showdown battle log processing and usage stats generation logic

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.

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.

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

Web server access log processing tool. Log processor for SBOanalytics

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.

Evaluate the stateless subset of KQL over a stream of events, one record at a time — pure Python, no external runtime.

lightweight CLI for converting, filtering, querying & aggregating structured data (JSON/NDJSON/CSV/TSV) with type safety and zero heavy dependencies.

Programmable log collector optimized for Kubernetes and cloud-native systems

Bash library for incremental log reading with cursor tracking, rotation detection, multi-format compression, atomic writes, and journal fallback

Pipeline ETL com PySpark para transformar logs não estruturados de partidas em dados analíticos, utilizando Regex, tratamento de encoding e Window Functions.

Ask Ubuntu Logs analysis with PySpark on GCP | Pipeline with Airflow (Cloud Composer)

A skill that shrink noisy log/output 60-90% before read — filter, group, dedupe, truncate. Cut token, cut cost, keep signal. By Dhayalan (aka Joy).

Script em Bash desenvolvido para processamento e análise de arquivos de log, utilizando ferramentas como grep, awk e sed para filtrar, extrair e organizar informações relevantes de forma automatizada.

Save massive token costs while coding or vibe-coding by semantically compressing console and terminal logs with up to 90% reduction, preserving all relevant information for AI agents.

⭐️ Dynatrace Version | Enterprise License 2026 Observability Cloud APM AIops | Oneagent Installer Complete Stack Monitoring Saas | Dynatrace 2026 Trial Dynatrace | Dynatrace Saas Observability Platform License ⭐️