This repository contains regular expression (regex) patterns for validating phone numbers postal codes, VAT numbers, dates, currency, credit/debit cards etc. for European countries (but not only).

A handy utility for generating strings that match given regular expression criteria.

EstiMate 🦉: A fast and accurate modelcounter tool for estimating the number of models for LTL formulas using transfer matrices.

A command-line tool and Rust library with Python bindings for generating regular expressions from user-provided test cases

Utilizes Selenium to scrape YouTube videos, extracting timestamps and generating SQL-ready lists for efficient data retrieval and analysis. Enhances data accessibility and organization for research or content curation.

A high-performance C++ regex library and lexical analyzer generator with Unicode support. Extends Flex++ with Unicode support, indent/dedent anchors, lazy quantifiers, functions for lex and syntax error reporting and more. Seamlessly integrates with Bison and other parsers.

A Rust binary to benchmark regex expressions

- O projeto consiste em coletar dados de várias cidades do Tocantins usando web scraping.- Os dados coletados incluem o nome da cidade, população, gentílico e território.

Scrape and manipulate data received from basic ApplyTexas transcripts into an easy-to-read .csv file for any student courses and grades.

A demonstration of domain generation algorithm (DGA) and determing regular expression and yara rule for each dga.

A JavaScript library for quickly and easily testing the validity or invalidity of a value.

Regex: generate matching and non matching strings based on regex pattern.

Dynamically construct regex patterns with native python representations

This repo contains Scripts which are explained in the youtube Channel https://www.youtube.com/c/NetworkEvolution/videos?sub_confirmation=1

A Tool for scanning and detecting patterns using regular expressions (regex). Find potential leaks, credentials, and sensitive data efficiently

Management of an ATM statement

📔 This repository of Delhivery's logistical endeavors, emphasizing the utilization of data processing, feature extraction, and hypothesis testing methodologies, A meticulous comparison analysis of ACTUAL vs OSRM time-distance metrics, we unveil intricate patterns, providing invaluable insights and metrics for decision-making with precision.

This project automates log analysis using Python, regex, and Bash. It generates CSV reports on system usage and error occurrences, and converts them to HTML for visualization. This project can help IT specialists seeking efficient log analysis and troubleshooting.

This is a simple version of the Unix tool grep