Conda Brew

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This guide will cover the steps for installing VisiData and provide troubleshooting assistance.

  1. Conda Brewery
  2. Installing Conda Mac
  3. Mac Install Miniconda
  4. Conda Brewing
  5. Brew Install Conda

Quick Reference

PlatformPackage ManagerCommandOut-of-box Loaders
allpip3pip3 install visidataBase
allcondaconda install --channel conda-forge visidataBase, http, html, xls(x)
MacOSHomebrewbrew install saulpw/vd/visidataBase, http, html, xls(x)
Linux (Debian/Ubuntu)aptapt install visidataBase, http, html, xls(x)
Linux (Debian/Ubuntu)dpkgdpkg -i visidata_ver_all.debBase, http, html, xls(x)
WindowsWSLWindows is not yet directly supported (use WSL)N/A
allgithubpip3 install git+https://github.com/saulpw/visidata.gitBase
Linux (NixOS)nixnix-env -i visidataBase, yaml, xls(x), hdf5, html, pandas, shp
GNU/Linux (Guix)Guixguix install visidataBase, http, html, xls(x), yaml, hdf5, pandas

If the one-line install commands above do not work, see below for detailed instructions and troubleshooting.

The base VisiData package

A loader is a module which directs how VisiData structures and engages with a particular data source.

Each package contains the full loader suite but differs in which loader dependencies will get installed by default. This is to avoid bloating the system for most users, who are not interested in using those features.

When we mention the base VisiData package, we are referring to the VisiData loaders whose dependencies are covered by the Python3 standard library. Currently these include the loaders for tsv, csv, fixed width text, json, and sqlite. Additionally, .zip, .gz, .bz2, and .xz files can be decompressed on the fly.

pip3

Requires:

Summary: brew implements a templating framework for mixing text and R code for report generation. Brew template syntax is similar to PHP, Ruby's erb module, Java Server Pages, and Python's psp module. Conda is the package manager that the Anaconda distribution is built upon. It is a package manager that is both cross-platform and language agnostic (it can play a similar role to a pip and virtualenv combination). Miniconda allows you to create a minimal self contained Python installation, and then use the Conda command to install additional.

To verify that both python3 and pip3 are installed, type python3 -m pip help in your terminal. You should see the helpstring for pip3 in your console.

To install VisiData:

To avoid having to source thisroot.sh every time one needs to use ROOT, it is typical to add the instruction to.bashrc,.profile or analogous configuration files. Note, however, that sourcing thisroot.sh might interfere with ROOT versions installed with different methods. Install via a package manager. Supported by the community: these packages are not maintained by the ROOT team, but. Cask anaconda installs files under $ (brew -prefix). The presence of such files can cause warnings when running `brew doctor`, which is considered to be a bug in Homebrew Cask. 执行brew install homebrew/cask/anaconda; 我的心在等待,在丫在等待. 将conda加入系统变量 执行. Echo 'export PATH= 'your install path '/.bashprofile source /.bashprofile 2 anaconda的基本使用. 创建一个新用户 conda create -name nameyouwant python=versionyouwant package1 package2.

To update VisiData:

VisiData supports many sources, but not all dependencies are installed automatically.

Out-of-box, you can load all file formats supported by the Python3 standard library including csv, tsv, fixed-width text, json, and sqlite. Additional Python packages may be required for opening other supported data sources.

To install any of one the dependencies:

To install dependencies for all loaders (which might take some time and disk space):

Note: The pipx tool is an optional convenience layer on top of pip. It can help keep VisiData and its dependencies in an isolated environment, to avoid clashes with other Python packages on your system. With pipx installed:

Brew

conda

Requires:

Add the conda-forge channel:

To install VisiData:

To update VisiData:

Note, that the VisiData feedstock comes preloaded with additional dependencies.

Out-of-box, you can load csv, tsv, fixed-width text, json, sqlite, http, html, .xls, and .xlsx (Microsoft Excel).

Additional Python packages will be required for opening other supported data sources.

If these packages are included in the conda environment, they can be installed with

brew

Requires:

  • MacOS

Add the the vd tap:

To install VisiData:

To update VisiData:

Note, that the VisiData formula comes preloaded with additional dependencies.

Out-of-box, you can load csv, tsv, fixed-width text, json, sqlite, http, html, .xls, and .xlsx (Microsoft Excel).

NOTE: There is no method, which is known to the package maintainer, to install additional dependencies for a brewed Python package. If anyone does know of one please, please let us know.

apt

Requires:

  • Linux distribution
  • apt

Install apt-transport-https, which apt requires to communicate with a repository using https:

Grab our public key:

Add our repository to apt's search list:

To install VisiData:

To update VisiData:

Note, that the VisiData .deb comes preloaded with additional dependencies.

Conda Brewery

Out-of-box, you can load csv, tsv, fixed-width text, json, sqlite, http, html, .xls, and .xlsx (Microsoft Excel).

dpkg

Requires:

  • Linux distribution

dpkg allows you to manually download and install VisiData, thus bypassing the need to add the repository's index.

First, go to our repository and download the preferred version of VisiData.

To install VisiData:

To uninstall VisiData:

Note, that the VisiData .deb comes preloaded with additional dependencies.

Out-of-box, you can load csv, tsv, fixed-width text, json, sqlite, http, html, .xls, and .xlsx (Microsoft Excel).

wsl

Windows is not yet directly supported. We recommend trying to use ConEmu as your terminal on WSL (Windows Subsystem for Linux). You can find discussion on this topic here.

source code

If you want to use bleeding edge unreleased features (which may not always work), you can do so by installing from the development branch on git.

Conda Brew

To install VisiData:

See pip3 above for further information on loaders and dependency management.

nix-env

This package is maintained by the wonderful folks at nixpkgs. Please refer all questions and requests for troubleshooting assistance to them.

Installing Conda Mac

Requires:

  • Linux distribution

To install VisiData:

To upgrade VisiData:

To uninstall VisiData:

GNU Guix

Mac Install Miniconda

This package is maintained by Ryan Prior and the Guix project. For help, visit the Guix help resources. Report bugs to the bug-Guix mailing list and/or the maintainer's repo.

Requires:

  • A GNU/Linux system

To install VisiData:

Conda Brewing

To upgrade VisiData:

To uninstall VisiData:

Brew Install Conda

To create a dev environment with all of VisiData's dependencies loaded: