# saulpw/visidata

A terminal spreadsheet multitool for discovering and arranging data

Repository: https://github.com/saulpw/visidata
Canonical: https://ross.abutalabs.com/products/visidata
Homepage: http://visidata.org
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: python, cli, csv, tsv, json, hdf5, sqlite, datawrangling, unix-toolkit, datajournalism, opendata, reconciliation, spreadsheet, tui, pandas, eda, devops-tools, tabular-data
Last push: 2026-08-23T01:31:03+00:00

## Health v2 (maintenance only)
Score: 85/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 59, longevity 100
- inputs: {"age_days": 3597, "days_push": 11, "days_rel": 63, "gap_med": 244, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 9252, forks 359 (observed 2026-08-28T04:10:29.094983+00:00)

## What it is
VisiData is a terminal-based interactive spreadsheet multitool for exploring, cleaning, and arranging tabular data. It supports many formats (CSV, TSV, JSON, Excel, SQLite, HDF5, and more) and combines spreadsheet-like navigation with Python extensibility.

## Use cases
- explore a large csv file in the terminal
- convert json to tsv from the command line
- clean up messy spreadsheet data quickly
- compute frequency tables and pivot tables on a dataset
- view and edit a sqlite database table interactively
- quickly inspect an excel or hdf5 file without opening a gui
- run ad hoc batch data pipelines with replayable command logs

## When to choose
- you need to quickly explore, filter, sort, or pivot tabular data with millions of rows
- you prefer keyboard-driven terminal tools over GUI spreadsheet applications
- you want to convert between data formats (csv, json, sqlite, xlsx, etc.) without writing scripts
- you want lightweight, scriptable data wrangling with Python extensibility

## When to avoid
- you need collaborative or graphical spreadsheet editing like Excel or Google Sheets
- you require a full GUI with mouse-first workflows (though basic mouse support exists)
- you need heavy statistical or machine-learning analysis better suited to pandas or R notebooks

## Facets
- artifact type: cli-tool
- maturity: stable
- function: data-science, cli, terminal-ui, data-visualization, developer-tools
- domain: data-science, developer-tools, analytics, files
- platform: python, cli, windows, cross-platform
- tags: spreadsheet, tui, tabular-data, csv, data-wrangling, exploratory-data-analysis, data-journalism, pandas, sqlite, excel, command-line, linux, macos

## Member repositories
- saulpw/visidata (main) score 85

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:29.094983+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 2026-08-29T17:23:12.764465+00:00, confidence not recorded.
  - readme: https://github.com/saulpw/visidata (fetched 2026-08-28T04:10:29.094983+00:00, sha 4a6cf5990883)
  - homepage: http://visidata.org (fetched 2026-08-29T08:23:07.130483+00:00, sha 2270b08fc95d)
  - site_page: https://www.visidata.org/docs (fetched 2026-08-29T08:23:07.163041+00:00, sha e6daf892a2f7)
  - site_page: https://www.visidata.org/install (fetched 2026-08-29T08:23:07.254140+00:00, sha d2fd3b0db04d)
  - site_page: https://www.visidata.org/docs/graph (fetched 2026-08-29T08:23:07.255998+00:00, sha 453ad3fa1d0a)
  - site_page: https://www.visidata.org/docs/save-restore (fetched 2026-08-29T08:23:07.257788+00:00, sha 4867ac702a7e)
  - site_page: https://www.visidata.org/blog/2024/help-with-docs (fetched 2026-08-29T08:23:07.259489+00:00, sha 9a7fe202c4f0)
  - registry_pypi: https://pypi.org/pypi/visidata/json (fetched 2026-08-29T08:23:07.261279+00:00, sha eeb9e77e3374)
  - site_page: https://www.visidata.org/releases (fetched 2026-08-29T08:23:07.196292+00:00, sha 3aa642ef8416)
  - site_page: https://www.visidata.org/pricing (fetched 2026-08-29T08:23:07.244732+00:00, sha 95a495a767e9)
- Data as of 2026-08-30T08:39:29.467469+00:00.