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brew

Install tidy-viewer with Homebrew, Nix

CLI csv pretty printer. Version 1.8.93 via Homebrew; verified from local package data.

install

Additional install commands

macOS

Homebrewverified · 100%
brew install tidy-viewer

local Homebrew formula metadata

Linux

Nixverified · 92%
nix profile install nixpkgs#tidy-viewer

nixpkgs package indexes · pkgs/by-name/ti/tidy-viewer/package.nix · source: api.github.com

overview

Package summary

CLI csv pretty printer

Commands and aliases

  • tidy-viewer

history

Project history and usage

Tidy Viewer, commonly invoked as tv or tidy-viewer, is a Rust command-line pretty printer for tabular data. Its project README describes it as a cross-platform data pretty printer for CSV, TSV, PSV, and Parquet files, with streaming support for large datasets.

Project history

The public GitHub repository was created in April 2021. The README presents the project as a terminal adaptation of ideas from R's pillar/tibble formatting, emphasizing significant-digit display, column styling, missing-value coloring, and width-aware truncation for data tables.

The project grew from a CSV pretty-printer into a small data-viewing workspace: the README now documents a Cargo workspace with tidy-viewer-core, tidy-viewer-cli, and tidy-viewer-py, and it highlights support beyond CSV/TSV into Parquet, Feather, and IPC-oriented data workflows.

Adoption history

Official installation instructions list Cargo, Debian packages, AUR, Snap, Homebrew, and prebuilt release binaries for macOS, ARM, Windows, and source builds. That package spread is the clearest source-backed sign that the tool moved beyond a single-language Rust crate into the usual CLI distribution channels.

The repository metadata also shows the project positioned with tags such as cli, csv, data-science, dataframe, terminal, and pretty-printer, matching its adoption by users who want a fast terminal preview before reaching for heavier dataframe or spreadsheet tools.

How it is used

Tidy Viewer is used as a terminal inspection step for delimited and columnar data: examples in the README pipe CSV files into tv, pass files as arguments, and combine color output with pagers such as less -R or bat.

For package-manager users, its appeal is that it turns common shell workflows around CSV or Parquet files into a readable table without starting Python, R, a database shell, or a spreadsheet application.

Why package nerds care

In the package-nerd niche, Tidy Viewer belongs to the family of focused Rust CLIs that make Unix pipelines friendlier for data work. It is interesting less as an ecosystem-defining project and more as a practical bridge between classic text streams and dataframe-style terminal presentation.

Its Homebrew formula matters because macOS users can install the same tiny table viewer they might otherwise install via Cargo, keeping shell aliases and data-preview scripts portable across package managers.

Timeline

  • 2021: GitHub repository created for alexhallam/tv.
  • 2021-2026: Official README documents distribution through Cargo, Debian, AUR, Snap, Homebrew, and release binaries.
  • 2020s: README documents expansion from CSV-oriented viewing to Parquet, Feather, IPC, streaming, and Python bindings.

Related projects

  • The README names R's pillar project as formatting inspiration.
  • The README positions tv beside command-line data manipulation tools and pagers rather than as a replacement for full dataframe systems.

security posture

Risk level: green

narrow executable package without higher-risk signals.

Risk classifier

green risk · low confidence · appliance

Why

  • narrow executable package without higher-risk signals

Signals

  • metadata:no-higher-risk-signals

Install behavior

  • No Homebrew post-install hook is recorded in formula metadata.
  • Homebrew bottle metadata is available for 8 platform targets.
  • Build metadata lists 1 build dependencies.

Recommended review

Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.

executables

Installed executables

CommandKindExposureNote
tidy-viewercliglobal executable

freshness

Version and freshness

These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.

page generated2026-07-08
manager version1.8.93
manager updated
local dataok
upstreamcurrent
latest detected1.8.93

https://github.com/alexhallam/tv

  • infoNo package-manager update timestamp was available.low confidence

install metadata

Package metadata

Package keybrew:tidy-viewer
Version1.8.93
Package managerHomebrew
Package manager pagehttps://formulae.brew.sh/formula/tidy-viewer
Homepagehttps://github.com/alexhallam/tv
Repositoryhttps://github.com/alexhallam/tv
Upstream docshttps://github.com/alexhallam/tv#readme
LicenseUnlicense
Source archivehttps://github.com/alexhallam/tv/archive/refs/tags/1.8.93.tar.gz
Build dependenciesrust
Bottleavailable (on arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, sonoma, ventura, x86_64_linux)
Homebrew post-installnot defined
Servicenone declared

registry facts

Source database details

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Nametidy-viewer
Version Scheme0
Revision0
Conflicts With
  • television
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • stable

source database matches

Other package-manager records

Matches are pulled from external package-manager indexes and kept separate from local Automic Vault package links.

Nix95%

tidy-viewer

nix profile install nixpkgs#tidy-viewer
  • normalized package name match
  • Matched by: Tidy Viewer
nixpkgs package indexes · api.github.com · nixpkgs package indexes: pkgs/by-name/ti/tidy-viewer/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1

source trail

Generated from repository data

This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.

Used sources

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated package history
  • external package-manager database matches
  • package relationship graph
  • package version freshness
  • package-page enrichment