SQL Swiss Army Knife - Engine for Diverse Data Sources

Set up free and scalable Scrapyd cluster for distributed web-crawling with just a few clicks. DEMO 👉

Brain: Log Parsing with Bidirectional Parallel Tree

日志解析，分析日志的内容，抽取日志的模板和参数

Python scripts that filter, parse, mask, and analyze FileZilla Server Log files.

Parse selected values from your .log or .txt files into a CSV format.

Self-Supervised Log Parsing Using Semantic Contribution Difference

Event matching for log records

How to set up Scrapyd cluster on Heroku

A logparser package based on grok patterns.

WindowsXP LogParser, in wine, in docker

A Log Parser App in React

Oxford Instruments Dilution Refridgerators with Triton Systems generate log files in .vcl format. This tool converts them into .csv for any analysis needs.

Parsing log files can be a tedious task, especially when dealing with complex log formats. The Log Parser aims to streamline this process by leveraging regular expressions to match and capture relevant fields from log entries. With the extracted data, users can perform further analysis, generate reports, or gain insights from their log files.

Log Parsing with Generalization Ability under New Log Types (ESEC/FSE 2023)

Web interface for Microsoft Log Parser.

A Log parser project

nginx access log to sqlite

How to set up Scrapyd cluster on Heroku

Logparser / Stats logger for Half Life 2 Deathmatch.