# wireservice/csvkit

A suite of utilities for converting to and working with CSV, the king of tabular file formats.

Repository: https://github.com/wireservice/csvkit
Canonical: https://ross.abutalabs.com/products/csvkit
Homepage: https://csvkit.readthedocs.io
Language: Python
License: MIT
License Family: permissive
Last push: 2026-08-03T23:53:23+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 95, release rhythm 35, longevity 100
- inputs: {"age_days": 5633, "days_push": 30, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6409, forks 684 (observed 2026-08-28T04:09:43.185651+00:00)

## What it is
csvkit is a suite of Python-based command-line tools for converting to and working with CSV files. It includes utilities like csvcut, csvstat, and csvsql for inspecting, filtering, and transforming tabular data.

## Use cases
- convert excel or  files to csv from the command line
- inspect csv columns and compute summary statistics
- cut and filter columns from large csv files
- run sql queries against csv files
- clean up messy tabular data in shell pipelines

## When to choose
- you work with csv data in a unix shell or scripts
- you need quick conversion between csv and other formats like , excel, or sql databases
- you want lightweight command-line tools instead of writing python scripts

## When to avoid
- you need a full spreadsheet gui or interactive data exploration
- you require high-performance processing of massive files beyond csvkit's memory-friendly but slower pure-python approach
- you need a general-purpose etl orchestration framework

## Facets
- artifact type: cli-tool
- maturity: stable
- function: cli, csv, etl, data-science
- domain: files, spreadsheets
- platform: python, cli, cross-platform
- tags: csv-tools, command-line-utilities, tabular-data, data-conversion, data-engineering, command-line

## Member repositories
- wireservice/csvkit (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:43.185651+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:44:56.334250+00:00, confidence not recorded.
  - readme: https://github.com/wireservice/csvkit (fetched 2026-08-28T04:09:43.185651+00:00, sha 5298776e942f)
  - registry_pypi: https://pypi.org/pypi/csvkit/json (fetched 2026-08-29T08:42:14.799979+00:00, sha 791c9b7e8511)
- Data as of 2026-08-30T08:39:29.467469+00:00.