terminal interface for exploring and arranging tabular data


Keywords
console, tabular, data, spreadsheet, terminal, viewer, textpunkcurses, csv, hdf5, h5, xlsx, excel, tsv, cli, datajournalism, datawrangling, devops-tools, eda, json, opendata, pandas, python, reconciliation, sqlite, tabular-data, tui, unix-toolkit
License
GPL-3.0
Install
pip install visidata==1.4

Documentation

VisiData v3.1

Tests Gitpod ready-to-code

discord mastodon @visidata@fosstodon.org twitter @VisiData

A terminal interface for exploring and arranging tabular data.

Frequency table

VisiData supports tsv, csv, sqlite, json, xlsx (Excel), hdf5, and many other formats.

Platform requirements

  • Linux, OS/X, or Windows (with WSL)
  • Python 3.8+
  • additional Python modules are required for certain formats and sources

Install

To install the latest release from PyPi:

pip3 install visidata

To install the cutting edge develop branch (no warranty expressed or implied):

pip3 install git+https://github.com/saulpw/visidata.git@develop

See visidata.org/install for detailed instructions for all available platforms and package managers.

Usage

On Linux and OS/X

$ vd <input>
$ <command> | vd

On Windows

$ visidata <input>
$ <command> | visidata

Press Ctrl+Q to quit at any time.

Hundreds of other commands and options are also available; see the documentation.

Documentation

Help and Support

If you have a question, issue, or suggestion regarding VisiData, please create an issue on Github or chat with us at #visidata on irc.libera.chat.

If you use VisiData regularly, please support me on Patreon!

License

Code in the stable branch of this repository, including the main vd application, loaders, and plugins, is available for use and redistribution under GPLv3.

Credits

VisiData is conceived and developed by Saul Pwanson <vd@saul.pw>.

Anja Kefala <anja.kefala@gmail.com> maintains the documentation and packages for all platforms.

Many thanks to numerous other contributors, and to those wonderful users who provide feedback, for helping to make VisiData the awesome tool that it is.