Awesome GitHub RepositoriesTerminal Data Visualizers

Rich is a comprehensive library for building sophisticated command-line interfaces and terminal applications. It provides a robust console formatting engine and a layout framework that enables developers to render rich text, syntax-highlighted code, and complex data structures directly in the terminal. By utilizing a recursive constraint-based layout engine, the library allows for the creation of hierarchical grids, panels, and trees that maintain their structure even as terminal dimensions change. What distinguishes the library is its ability to manage persistent, real-time terminal interfac

Fx is a command-line processing suite designed for the transformation, conversion, exploration, and visualization of structured data. It functions as a terminal-based utility that handles both automated shell pipelines and interactive navigation of complex, nested data hierarchies. The tool distinguishes itself by integrating a JavaScript-based engine that executes user-provided logic to filter, map, or modify data fields within a sandboxed runtime. It maintains a responsive interface by decoupling data processing from the display loop, allowing users to explore large datasets through an inte

Spark is a suite of command line utilities designed to render numeric data sets as compact visual graphs using Unicode characters. It functions as a terminal data visualizer and charting tool that converts sequences of numbers into visual trend lines within a shell environment. The tool generates sparkline graphs by mapping numeric value ranges to specific Unicode block characters. It utilizes linear value scaling to normalize input numbers to fit within available character heights and processes data sequentially from the standard input stream to produce real-time visual output. These capabi

rich-cli is a terminal rich text renderer and data visualizer that transforms raw text and structured data into styled console output. It functions as a command line markup processor, converting Markdown and custom markup into formatted text with clickable links and colors. The tool specializes in terminal content rendering for various formats, including syntax-highlighted source code, JSON data with consistent indentation, and CSV tables. It also supports the rendering of Jupyter notebooks and provides a terminal content pager for navigating long files and remote content via a scrollable int

Data Hacks is a collection of command-line utilities designed for statistical computation, real-time stream processing, and text-based data visualization. The toolkit enables users to perform rapid analysis on large datasets directly within the terminal by processing information through standard input and output streams. The project distinguishes itself through its focus on memory-efficient, stream-oriented operations that allow for the analysis of large-scale data without requiring heavy infrastructure. It utilizes stateless functional transformations and reservoir sampling to handle data st