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

Liens du projet

• Page d'accueil
• Dépôt
• Page du gestionnaire de paquets

Commandes et alias

• vd
• vd2to3.vdx
• visidata

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/