clw-csv 0.1.10

CLW (CSV Light Wizard) - A blazing-fast CSV/TSV manipulation tool

CLW - CSV Light Wizard

Pronounced "CLAW" - because every Rust tool deserves a crab-themed name.

CLW is a blazing-fast CSV manipulation tool written in Rust, designed to make working with CSV files from the command line intuitive and efficient. Born from 10+ years of day-to-day data science work, CLW is a Swiss Army knife that brings together the essential CSV operations you actually need in your workflow.

Features

• Lightning Fast: Built with Rust for maximum performance - See BENCHMARKS.md for details.
• Auto-detection: Automatically detects delimiters (comma, pipe, tab, and space.)
• Data Analysis: Built-in statistics and frequency analysis
• Data Transformation: Transpose, stack, and paste operations
• Smart Filtering: Filter by values
• Random Sampling: Sample rows with reproducible seeds
• Flexible I/O: Works with files or stdin/stdout for easy piping
• Lightweight: 1.7MB single binary

Installation

Pip install (recommended)

pip install clw-csv

From Source

git clone https://github.com/sshu2017/clw.git
cd clw/
cargo build --release
sudo cp target/release/clw /usr/local/bin/

Quick Start

# Pretty-print a CSV with rainbow colors
clw peek data.csv

# Get basic statistics for a column
clw stats --column price products.csv

# Show frequency distribution with a plot
clw freq --column category --plot inventory.csv

# Transpose rows and columns
clw transpose data.csv > transposed.csv

# Stack two CSV files vertically
clw stack file1.csv file2.csv > combined.csv

See the USAGE.md for detailed usage.

Acknowledgments

CLW was inspired by:

• csvkit - a comprehensive CSV toolkit in Python
• csvtool - a fast CSV processing tool in OCaml
• xsv - a CSV toolkit in Rust (now unmaintained)
• xan and qsv - two feature-rich CSV toolkits in Rust (though larger in size)

Special thanks to the Rust community for excellent libraries:

• clap - Command-line argument parsing
• csv - CSV reading/writing
• colored - Terminal colors

Star History

If you find CLW useful, please consider giving it a star on GitHub.