---
id: csvkit
version: "2.2.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# csvkit — A suite of command-line tools for working with CSV, the king of tabular file formats.

License: permissive · Maintenance: active · Downloads: 345.1K/mo

## What it is and what it does

csvkit is a suite of command-line utilities designed for working with CSV files and related tabular formats. It provides specialized commands for common CSV operations—filtering rows, selecting columns, joining files, and converting between formats like Excel, DBF, and SQL databases. The package bundles eight runtime dependencies including agate, agate-excel, agate-dbf, agate-sql for format support, and sqlalchemy for database connectivity.

The tool is aimed at developers, data analysts, and researchers who work with tabular data from the command line. It's been in active development since its early releases, supports modern Python versions, and runs on both CPython and PyPy. With low install friction and no known security vulnerabilities, it's a stable choice for CSV manipulation workflows that don't require a full data science stack.

Use it for:

- Extract specific columns from CSV files without loading into memory-heavy tools.
- Filter rows based on patterns or conditions to subset data for analysis.
- Join multiple CSV files on common columns for data consolidation.
- Convert Excel or database exports to CSV format for pipeline integration.
- Inspect and validate CSV structure and data types from the command line.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

csvkit provides command-line tools for converting, querying, and transforming CSV files and related tabular formats like Excel and databases.

Yes. csvkit is a mature, actively maintained tool with no security issues, permissive licensing, and low install friction. It's well-suited for developers and analysts who prefer command-line workflows for CSV manipulation. Install it if you work with CSV files regularly and want lightweight, specialized tools instead of heavier data libraries.

## Install

pip install csvkit
uv add csvkit
poetry add csvkit

## Installing csvkit

Before you install: Low install friction with a pure-Python wheel distribution. The package is actively maintained with a recent release and 6409 GitHub stars, indicating stable, well-used tooling.

License in practice: MIT license is permissive, allowing use in commercial and proprietary projects with minimal restrictions beyond attribution.

Quickstart:

pip install csvkit

After installation, csvkit provides command-line tools for working with CSV files. The package includes utilities for filtering, selecting columns, joining files, and converting between formats.

Verify before relying:

- Specific command names and their exact functionality beyond the general CSV manipulation scope.
- Performance characteristics when working with large CSV files or complex transformations.
- Whether Python API usage is documented alongside command-line interfaces.

## Package facts

- License: MIT (permissive)
- Python support: unspecified
- Install friction: low
- Maintenance: active
- Downloads: 345.1K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

csv command line tools, convert csv to other formats, query csv files, csv data transformation, tabular data cli, excel to csv conversion, database to csv export, cli-tools, data-wrangling, csv-processing

[View on SkillFed](https://skillfed.io/packages/csvkit) · [View on PyPI](https://pypi.org/project/csvkit/)