Awesome GitHub RepositoriesCSV Data Visualizers

xsv is a suite of high-performance command-line utilities written in Rust for the analysis, manipulation, and statistical processing of large delimited datasets. It provides a toolkit for processing comma-separated value files through a command line interface. The project provides capabilities for statistical analysis, including the computation of column statistics, value frequencies, and descriptive metrics. It also includes data manipulation utilities for joining, slicing, sampling, and reformatting records. The toolkit covers a broad range of data operations including column selection, da

csvkit is a composable Unix-style command-line toolkit for converting, filtering, and analyzing CSV files directly from the terminal. It provides a suite of focused single-purpose commands that can be combined via pipes to build complex data processing workflows, with a modular architecture that includes a column-type inference engine for automatically detecting data types and a streaming-pipeline design for efficient handling of tabular data. The toolkit distinguishes itself through its SQL-engine abstraction layer, which allows users to run SQL queries directly against CSV files without req

This project is a D3.js data visualization tool and dynamic bar chart generator that converts historical ranking data from comma-separated values into animated visual timelines. It functions as a CSV ranking visualizer and time-series ranking dashboard to illustrate how the positions of different entities change over a period of time. The tool features automated sorting and ranking trend animations that transform static historical data into dynamic transitions. It includes customizable axis scaling, such as semi-logarithmic scales to handle extreme variances in data magnitudes, and dynamic co

Csvlens is a terminal-based tabular data explorer and memory-mapped browser designed for viewing and navigating large CSV files. It functions as a command-line interface for inspecting massive structured datasets while maintaining a constant memory footprint. The tool provides a text-based user interface for exploring data, featuring a custom layout engine that supports column resizing, line wrapping, and frozen headers. It includes a search mechanism to locate and visually highlight text patterns using regular expressions. Capabilities cover data manipulation through alphabetical or natural