qsv

Process and analyze CSV data with 61 Rust-based command-line commands.

Updated Mar 2, 2019

Search Tags:#pipeline #transformation #data-analysis #csv #command-line #stats #join

Ready to run

npx skills add https://github.com/trmaphi/dotfiles --skill qsv

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: qsv
Source: https://github.com/trmaphi/dotfiles/tree/main/.claude/skills/qsv
Command: npx skills add https://github.com/trmaphi/dotfiles --skill qsv

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

An efficient, CLI-based toolset to wrangle, inspect, transform, and analyze CSV and tabular data without leaving the shell, speeding up data work.

Core Features & Use Cases

Inspect, summarize, and validate CSV files with commands for sniffing, stats, headers, and schema.
Transform, join, and pipeline data across multiple files, including conversions to JSON, NDJSON, SQLite, and SQL.
Use in automation and data pipelines to quickly derive insights from large datasets and streamline repeatable workflows.

Quick Start

Run qsv stats data.csv to generate a concise summary of each column.

Frequently Asked Questions about qsv

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I analyze CSV data directly from the command line?▼

To analyze CSV data from the command line, use a CLI tool to inspect, transform, and summarize tabular datasets. Commands like stats generate concise column summaries directly in the shell.

What is the best way to join multiple CSV files in a data pipeline?▼

The best way to join CSV files in a data pipeline is using a CLI tool that supports piping and multiple file inputs. This approach merges large datasets efficiently without loading them into a database.

Can I convert CSV files to JSON or SQLite without writing code?▼

Yes, you can convert CSV files to JSON, NDJSON, or SQLite without writing code by using a command-line transformation tool. It processes file inputs and outputs the desired format directly.

Does a command-line CSV tool work for large datasets?▼

Yes, a Rust-based command-line CSV tool works well for large datasets because it is designed for speed and operates with zero dependencies. It pipelines data efficiently to derive insights from substantial files.

How do I validate and inspect tabular data before transformation?▼

To validate and inspect tabular data before transformation, use CLI commands for sniffing, headers, and schema validation. This ensures CSV files are structurally sound before applying data pipelines.