Data Streaming — Data & Databases

This project is a general-purpose command-line filter that provides an interactive interface for processing standard input streams. It enables real-time fuzzy searching, data selection, and transformation, allowing users to navigate complex information or file systems directly within their terminal. By utilizing a pipe-oriented architecture, it integrates into existing shell pipelines and workflows to facilitate efficient data exploration. What distinguishes this tool is its highly extensible, event-driven design that allows for deep integration with external processes. It supports asynchronous data transformation and dynamic list reloading, enabling users to trigger shell commands or update content based on user interactions without blocking the interface. The system maintains selection identity across these updates, providing a consistent experience when managing large or streaming datasets. The project offers a comprehensive suite of features for terminal user interface development, including multi-threaded search performance, configurable preview windows, and support for various terminal multiplexers. It provides extensive customization options for visual layout, key bindings, and search logic, allowing developers to build custom selection interfaces or automate complex shell tasks. The tool is configured through environment variables and configuration files, supporting inline comments for maintainability. It is designed to be installed as a standalone command-line utility, with library integration options available for embedding its filtering capabilities into other applications.