Open CLI

visidata

data
$ pipx install visidata
Summary

Interactive data exploration, spreadsheets, and terminal analytics from the terminal.

  • vd fits data & db well, especially for interactive data exploration, spreadsheets, and terminal analytics from the terminal.
  • 212 homebrew installs (30d).
  • Verify with `vd --version` first.
  • Best treated as a human-first terminal tool.
  • Output is mostly text-first, so verify results before scripting around it.
database-visidata-SKILL.md

Vd guide

Interactive data exploration, spreadsheets, and terminal analytics from the terminal. Built by VisiData.

Open CLI packages the install path, verify step, and safe-start workflow so this tool can move from “interesting CLI” to something you can actually use. It also integrates with skills.sh so each CLI comes with the right companion skills, not just a binary and a docs link.

When to apply

  • interactive data exploration, spreadsheets, and terminal analytics from the terminal.
  • You work with data processing and want a fast terminal interface.
  • You need interactive data exploration.
  • You need spreadsheets.
  • You need terminal analytics.

Quick reference

Installpipx install visidata
Verifyvd --version
First real commandvd data.csv

Open CLI × skills.sh

Open CLI integrates vd with the right skills.sh companions so you get the tool and the workflow together.

Data Analysis

Recommended pairing

Open CLI recommends this skills.sh skill because it fits data workflows. Turn query output and flat files into usable insights faster.

View on skills.sh
$ npx skills add https://github.com/supercent-io/skills-template --skill data-analysis
Starter prompt

Use vd together with the Data Analysis skills.sh skill. Start with safe inspection commands, summarize what you find, and ask before any step with side effects.

Also useful from skills.sh
Codebase Searchskills.shWorkflow Automationskills.sh

Why this tool

  • vd fits data & db well, especially for interactive data exploration, spreadsheets, and terminal analytics from the terminal.
  • 212 homebrew installs (30d).
  • Verify with `vd --version` first.

Watch-outs

  • Automation can be brittle.
  • Output is mostly plain text.
  • Better for local use than CI.

Example workflow

1. vd data.csv

Safe start

Step 1

Install vd.

Step 2

Run `vd --version` first.

Step 3

Start with `vd data.csv`.

Step 4

Install a CLI that matches your database engine.

Alternatives worth considering

jq

JSON processing, apis, and agent output parsing from the terminal.

duckdb

Local analytics, sql, and csv/parquet queries from the terminal.

http

API testing, readable http, and debugging endpoints from the terminal.