# Installer visidata avec Homebrew, apk, apt, dnf, Nix, pacman

Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de visidata pour les workflows d'agents IA.

## installation

```sh
sudo av install brew:visidata
```

Commandes d'installation supplémentaires:

### macOS

- Homebrew (100%):

```sh
brew install visidata
```

  Preuve: local Homebrew formula metadata

### Linux

- apk (92%):

```sh
sudo apk add visidata
```

  Preuve: Alpine Linux edge package indexes: visidata from https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz

- Debian apt (92%):

```sh
sudo apt install visidata
```

  Preuve: Debian stable package indexes: visidata from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz

- dnf (92%):

```sh
sudo dnf install visidata
```

  Preuve: Fedora Rawhide package metadata: visidata from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/07190dc5ae9f35ae73866675fed6d95fe6e8d9fe22c9d7cdf85862cb2ed24a4c-primary.xml.zst

- Nix (92%):

```sh
nix profile install nixpkgs#visidata
```

  Preuve: nixpkgs package indexes: pkgs/by-name/vi/visidata/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1

- pacman (92%):

```sh
sudo pacman -S visidata
```

  Preuve: Arch Linux sync databases: visidata from https://geo.mirror.pkgbuild.com/extra/os/x86_64/extra.db.tar.gz

## Faits du paquet

- **Clé du paquet:** brew:visidata
- **Gestionnaire de paquets:** Homebrew
- **Version:** 3.4
- **Résumé source:** Terminal spreadsheet multitool for discovering and arranging data
- **Page d'accueil:** <https://www.visidata.org/>
- **Dernière mise à jour:** 2026-07-03T03:59:18Z
- **Généré:** 2026-08-03T19:37:03+00:00

## exécutables

- vd (alias)
- vd2to3.vdx (alias)
- visidata (alias)

## Comportement d'installation

- Bouteille: non disponible

## Version et fraîcheur

- page générée: 2026-08-03
- version du gestionnaire: 3.4
## Historique du projet et usages

VisiData is an interactive terminal multitool for tabular data. The project describes itself as combining the clarity of a spreadsheet, the efficiency of the terminal, and the power of Python, with support for CSV, TSV, JSON, Excel, SQLite, HDF5, packet captures, shapefiles, archives, and many other data-shaped inputs.

### Historique du projet

Saul Pwanson conceived VisiData in October 2016 and later published a five-year retrospective in October 2021. That retrospective says the first public release was v0.14 posted to r/Python in November 2016, followed by v0.37 in December 2016, when the project was still roughly a single 1000-line Python script with loaders for CSV, JSON, XLSX, HDF5, frequency tables, and joins.

In 2017 the project grew quickly through its pre-1.0 period. Pwanson says the first major pre-1.0 release arrived in June 2017 and reached the top of Hacker News. Version 1.0 followed in January 2018, after which Anja joined the project and Jeremy Singer-Vine published an introductory tutorial that became an important onboarding resource.

The January 2019 v1.5.2 release was treated as a reliable final release for the v1 era while work continued on the develop branch. Pwanson and Anja then cleaned up the API and released v2.0 in October 2020. By late 2021 the project had a v2 release line, a new menu system in v2.6, and VisiData Plus as a home for many add-ons. The official site shows the v3 series continuing, including v3.4 in June 2026.

### Historique d'adoption

By the project's fifth anniversary in October 2021, the author reported that VisiData had roughly 15,000 lines of Python, thousands of regular users, and frequent mentions wherever people discussed tabular-data tools or terminal workflows. Adoption has been driven by analysts, journalists, data engineers, and command-line users who want quick exploration without leaving the shell.

VisiData's packaging footprint across Python and Unix distributions reflects that practical niche. It is not a replacement for notebooks or databases; it is commonly used as the first tool opened against an unfamiliar dataset, especially when a user wants to inspect, filter, summarize, join, reshape, or export data interactively.

### Modes d'utilisation

Typical usage starts with `vd` or `visidata` on a local file, database, archive, API output, or other tabular source. Users navigate sheets with keyboard commands, create frequency tables and derived columns, perform joins and aggregations, and save transformed outputs or replayable sessions.

The project also supports batch-style workflows, Python extensibility, plugins, and saved sessions. That makes it a terminal bridge between one-off inspection and lightweight data pipelines.

### Pourquoi les passionnés de paquets s'y intéressent

VisiData is significant in package-manager culture because it gives the terminal a credible spreadsheet-like data workbench without pulling users into a GUI office suite or a heavyweight notebook stack. It is one of the standard answers to the question, 'What should I install for quickly understanding an unknown CSV?'

Its deeper package-nerd appeal is that it treats many non-obvious things as data, including filesystem metadata, API results, and packet captures. That broad loader model makes it a Swiss-army-knife dependency in shell-heavy data workflows.

### Chronologie

- 2016: VisiData conceived in October; first public v0.14 post in November; v0.37 followed in December.
- 2017: Major pre-1.0 release in June; the project gained wider attention among terminal and Python users.
- 2018: v1.0 released in January; tutorial and community onboarding material expanded.
- 2019: v1.5.2 released as a stable v1-era release while develop-branch work continued.
- 2020: v2.0 released in October after API cleanup work.
- 2021: v2.6 introduced a menu system; VisiData Plus gathered add-ons.
- 2026: Official release list shows v3.4 in June 2026.

### Related projects

- The official retrospective compares VisiData conceptually to VisiCalc for interactive tabulation and to Vim for interactive text editing. Related ecosystem pieces include VisiData Plus add-ons and Jeremy Singer-Vine's tutorial.

### Sources

- <https://api.github.com/repos/saulpw/visidata>
- <https://api.github.com/repos/saulpw/visidata/releases?per_page=10>
- <https://github.com/saulpw/visidata>
- <https://www.visidata.org/>
- <https://www.visidata.org/blog/2021/5-years-old/>


## Notes de sécurité

narrow executable package without higher-risk signals.

- **Risque Geiger:** vert / faible
- narrow executable package without higher-risk signals


## Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.


## Configuration files

- Unix: ~/.visidatarc, $XDG_CONFIG_HOME/visidata/config.py

## Credential files

- Unix: ~/.visidatarc
## Autres enregistrements de gestionnaires de paquets

- Debian apt - visidata - 3.0.2-1: normalized package name match | Debian stable package indexes: visidata from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz | rapidly explore columnar data in the terminal | https://visidata.org
- Nix - visidata: normalized package name match | nixpkgs package indexes: pkgs/by-name/vi/visidata/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1
- Ubuntu apt - visidata - 3.0.2-1: normalized package name match | Ubuntu 24.04 LTS package indexes: visidata from https://archive.ubuntu.com/ubuntu/dists/noble/universe/binary-amd64/Packages.gz | rapidly explore columnar data in the terminal | https://visidata.org
- apk - visidata - 3.3-r1: normalized package name match | Alpine Linux edge package indexes: visidata from https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz | Terminal spreadsheet multitool | https://visidata.org
- apk - visidata-doc - 3.3-r1: normalized package name match | Alpine Linux edge package indexes: visidata-doc from https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz | Terminal spreadsheet multitool (documentation) | https://visidata.org
- apk - visidata-pyc - 3.3-r1: normalized package name match | Alpine Linux edge package indexes: visidata-pyc from https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz | Precompiled Python bytecode for visidata | https://visidata.org
- apk - visidata-zsh-completion - 3.3-r1: normalized package name match | Alpine Linux edge package indexes: visidata-zsh-completion from https://dl-cdn.alpinelinux.org/alpine/edge/testing/x86_64/APKINDEX.tar.gz | Zsh completions for visidata | https://visidata.org
- dnf - python3-visidata - 3.3-4.fc45: normalized package name match | Fedora Rawhide package metadata: python3-visidata from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/07190dc5ae9f35ae73866675fed6d95fe6e8d9fe22c9d7cdf85862cb2ed24a4c-primary.xml.zst | Terminal interface for exploring and arranging tabular data | https://visidata.org
- dnf - visidata - 3.3-4.fc45: normalized package name match | Fedora Rawhide package metadata: visidata from https://dl.fedoraproject.org/pub/fedora/linux/development/rawhide/Everything/x86_64/os/repodata/07190dc5ae9f35ae73866675fed6d95fe6e8d9fe22c9d7cdf85862cb2ed24a4c-primary.xml.zst | Terminal interface for exploring and arranging tabular data | https://visidata.org
- pacman - visidata - 3.4-1: normalized package name match | Arch Linux sync databases: visidata from https://geo.mirror.pkgbuild.com/extra/os/x86_64/extra.db.tar.gz | Terminal spreadsheet multitool for discovering and arranging data | https://www.visidata.org


## Combined YAML source

View the package source record on GitHub. [combined/visidata.yml](https://github.com/mxcl/pkgdb/blob/main/combined/visidata.yml)


## Sources

- pkg.so package database
- Geiger risk classifier
- curated configuration and credential file locations
- curated package history
- pkgdb category and tag curation
- external package-manager database matches
- cross-ecosystem install command graph
