sd is a command line text manipulation utility designed for searching and replacing text patterns across multiple files. It functions as a regex-based find and replace tool that allows for in-place file editing directly from the terminal. The project supports both regular expression replacements, including the use of capture groups for complex transformations, and fixed string replacement for literal text substitutions. It specifically handles multi-line text replacement by processing file contents as single blocks to match patterns that span across newline characters. The tool provides capa
Dbmate is a framework-agnostic SQL database migration tool used for tracking, applying, and rolling back schema changes to ensure consistent environments. It functions as a database schema versioning tool that manages updates independently of any specific application framework by relying on raw SQL and connection URLs. The project distinguishes itself by offering a container-based approach to database administration, allowing schema updates to be executed via Docker to avoid local binary installations. It also supports embedding migration scripts directly into the compiled binary to eliminate
Tailspin is a regex-based text colorizer and terminal log viewer designed to transform plain text streams into colorized output. It functions as a command line log highlighter and tailer that applies syntax highlighting to logs using regular expressions. The tool distinguishes itself through its ability to monitor files in real time and pipe live output through a highlighter. It recognizes and colors common data types such as IP addresses, UUIDs, HTTP methods, JSON objects, dates, and memory pointers. Users can define custom highlight styles and regex patterns to assign specific colors to uni
Knwl.js is a JavaScript named entity recognition library and text entity extractor. It functions as an extensible text parsing engine designed to scan unstructured strings for specific data patterns and convert them into structured information. The engine utilizes a modular framework that allows for the recognition of custom data types. This is achieved through a plugin system for language pattern matching, enabling the integration of custom logic to identify unique data types within text. The library identifies and isolates entities such as dates, times, phone numbers, emails, and locations