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Install goolabs with Homebrew

Command-line tool for morphologically analyzing Japanese language. Version 0.4.0 via Homebrew; verified 2026-05-21.

install

Additional install commands

macOS

Homebrewverified ยท 100%
brew install goolabs

local Homebrew formula metadata

overview

Package summary

Command-line tool for morphologically analyzing Japanese language

Commands and aliases

  • goolabs

history

Project history and usage

goolabs is a small Python API client and command-line tool for Goo Labs Japanese-language APIs. Its README focuses on API access for tasks such as morphological analysis, similarity scoring, hiragana and katakana conversion, named-entity extraction, and short summaries.

Project history

The GitHub repository was created in December 2014. Git tags show early releases in 2014 and 2015, with v0.3.0 tagged in March 2016.

Adoption history

The official README documents pip installation for the Python package and Homebrew installation for users who only want the command-line tool. Beyond that package-manager footprint, the official sources provide little evidence of a larger ecosystem.

How it is used

Users need a Goo Labs application id before using the library or CLI. The README examples instantiate `GoolabsAPI` with that app id and call API methods for Japanese text processing.

Why package nerds care

goolabs is package-nerd interesting as a niche CLI wrapper around a hosted language API: the package is mostly useful because it turns API credentials and Japanese NLP endpoints into installable command-line plumbing.

Timeline

  • 2014: GitHub repository created under tell-k/goolabs.
  • 2014: v0.1.1 tag points to a version and history update commit.
  • 2015: v0.1.2 and v0.2.0 tags published in July.
  • 2016: v0.3.0 tag published in March.

Related projects

  • The README relates goolabs to Goo Labs APIs for Japanese morphological analysis, similarity, hiragana conversion, entity extraction, and short summaries.

security posture

No protected-tool coverage found yet

No matching local secret-handling manifest was found for goolabs. Nucleus package metadata is still published here so future coverage has a stable package URL.

Install behavior

  • No Homebrew post-install hook is recorded in formula metadata.
  • Homebrew bottle metadata is available for 1 platform targets.
  • Installs with 2 runtime 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
goolabscliglobal 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 version0.4.0
manager updated2026-05-21
local dataok
upstreamnot checked
latest detectednot detected

https://pypi.python.org/pypi/goolabs

install metadata

Package metadata

Package keybrew:goolabs
Version0.4.0
Package managerHomebrew
Package manager pagehttps://formulae.brew.sh/formula/goolabs
Homepagehttps://pypi.python.org/pypi/goolabs
Repositoryhttps://github.com/tell-k/goolabs
Upstream docshttps://github.com/tell-k/goolabs#readme
LicenseMIT
Source archivehttps://files.pythonhosted.org/packages/ce/86/2d3b5bd85311ee3a7ae7a661b3619095431503cd0cae03048c646b700cad/goolabs-0.4.0.tar.gz
Last updated2026-05-21T11:31:35Z
Pulseupdated
Dependenciescertifi, python@3.14
Bottleavailable (on all)
Homebrew post-installnot defined
Servicenone declared

registry facts

Source database details

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namegoolabs
Version Scheme0
Revision18
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • stable

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
  • package relationship graph
  • package version freshness
  • package-page enrichment