Introduction

Welcome to datui documentation!

datui is a terminal user interface (TUI) for exploring and analyzing tabular data files. Built with Rust, Polars, and Ratatui, it provides an interactive environment for data exploration, querying, statistical analysis, and visualization within the terminal.

See It In Action

Basic Navigation Demo

Watch as datui loads and displays tabular data with smooth navigation. Use vim-style keys (j/k for up/down, h/l for left/right) to explore your data interactively.

For more demonstrations of datui’s features, see the Demos page.

Key Features

Memory-efficient: Uses lazy evaluation with Polars
Interactive: Full-featured TUI with keyboard navigation
Powerful: Query, filter, sort, and analyze data
Fast: Built with Rust for performance

Philosophy

Datui follows a philosophy of memory-efficient data exploration using lazy evaluation, providing quick insights into datasets without requiring external tools or heavy infrastructure.

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Demo Gallery

This page showcases interactive demonstrations of datui’s key features. All demos are generated from real usage and show the application in action.

Basic Navigation Demo

What it shows:

Loading a Parquet file (people.parquet)
Initial data display with headers
Vertical navigation using j/k keys (scroll down/up)
Horizontal navigation using h/l keys (scroll left/right)

Key takeaway: datui provides smooth, keyboard-driven navigation for exploring your data tables.

See Loading Data for more information about file formats and options.

Querying Demo

What it shows:

Opening the query input with /
Typing a query: select first_name, last_name, city, salary where salary > 80000
Executing the query and seeing filtered results
Clearing the query

Key takeaway: datui supports SQL-like queries for selecting columns and filtering data on the fly.

See Querying Data for detailed query syntax and examples.