Datui is a high-performance terminal UI for exploring and analyzing datasets.
📖 Documentation: Full User Guide.
- 🚀 Fast: Powered by Polars streaming expressions for state-of-the-art performance on massive datsets
- 📁 Universal: Supports Parquet, CSV, JSON, Avro, Arrow, ORC, and Excel
- 🧰 Flexible: View data stored locally, on S3, or over HTTP/HTTPS
- 🔍 Queryable: Fuzzy search or query with SQL or an SQL-like DSL
- 📊 Charts: Render terminal-based charts and export them as images
- 🔬 Analysis: Use analytical tools to understand correlations, distributions, and more
- ⚒️ Transformations: Sort, filter, pivot, melt, and more
- ⌨️ Keyboard-Driven: Arrow keys and Vim-style navigation (
h/j/k/l)
Visit the Install Guide for additional installation details
curl -fsSL https://raw.githubusercontent.com/derekwisong/datui/main/scripts/install/install.sh | shDon't like piping to shell? See the alternative methods below.
Get the pre-built binary for your platform from the Latest Release.
See Package Managers
- Arch Linux (AUR):
paru -S datui-bin
- macOS (Homebrew):
brew tap derekwisong/datui brew install datui
- Windows (WinGet):
winget install derekwisong.datui
- Pip (See Python Module):
pip install datui
See Compiling
git clone https://github.com/derekwisong/datui.git
cd datui
cargo build --release --lockedThe binary will be available at target/release/datui.
See the Quick Start Guide
- 💻 Load a file, or hive-partitioned dataset, from the shell:
datui /path/to/data.parquet datui --hive /path/to/directory datui --hive "/path/to/directory/**/*.parquet"See Loading Data
- ☁️ Load data from S3 and HTTP:
datui s3://some-bucket/file.parquet datui gs://some-bucket/file.parquet datui https://www.domain.com/file.csv
- 🐍 View data from Python:
import polars as pl import datui lf = pl.scan_parquet("/path/to/data.parquet") datui.view(lf)
See Python Module
- Use arrow keys or Vim-style keybinds (
h/j/k/l) to navigate - Press
qto exit
💡 Use
?orF1to show help
See the Configuration Guide
Generate a default TOML config file:
datui --generate-configSee the Setup Script guide to quickly get configured to run the tests, build docs, demos, and packages.
Contributions are welcome! Please see Contributing for more.
This project is licensed under the MIT License - see the LICENSE file for details.
Note: If you encounter any issues or have feature requests, please open an issue on GitHub.
