macOS
brew install grtlocal Homebrew formula metadata
brew
Gesture Recognition Toolkit for real-time machine learning. Version 0.2.4 via Homebrew; verified from local package data.
install
brew install grtlocal Homebrew formula metadata
overview
Gesture Recognition Toolkit for real-time machine learning
history
The Gesture Recognition Toolkit, or GRT, is an open-source C++ machine-learning toolkit for real-time gesture recognition. Its research paper and project documentation emphasize accessibility for non-specialists building interactive systems from sensor data.
GRT grew out of Nicholas Gillian and Joseph A. Paradiso's work at the MIT Media Lab Responsive Environments Group and was described in a 2014 Journal of Machine Learning Research paper. The paper presents it as a cross-platform C++ library for real-time gesture recognition, feature extraction, automatic gesture spotting, classification, regression, and clustering.
The GitHub repository was created in January 2014 and the public release stream on GitHub includes version 0.1.0 in February 2016, 0.2.0 in August 2016, and 0.2.4 in December 2016. The repository README describes both a C++ API and GUI, plus .grt and CSV data/model files.
GRT found a niche in creative coding, interactive music, sensor interfaces, and human-computer interaction rather than broad systems administration. Its README lists extensions and users such as ofxGrt for openFrameworks, ml-lib for Max and Pure Data, and ESP, showing adoption through research and media-arts tooling.
The Homebrew package exposes small command-line tools for common models and data preparation tasks, while the library itself is normally embedded in C++ projects. Users build pipelines from preprocessing, feature extraction, and classifier modules, train models from labeled sensor data, and run predictions in real time.
GRT is interesting in package-manager culture because it packages academic interactive-machine-learning work as a reusable native library plus command-line helpers. It sits at the boundary between research code, creative-coding ecosystems, and reproducible Unix installation.
security posture
narrow executable package without higher-risk signals.
green risk · low confidence · appliance
Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.
executables
| Command | Kind | Exposure | Note |
|---|---|---|---|
grt-lin-reg-tool | cli | global executable | |
grt-log-reg-tool | cli | global executable | |
grt-merge-tool | cli | global executable | |
grt-mlp-tool | cli | global executable | |
grt-rf-tool | cli | global executable | |
grt-softmax-tool | cli | global executable | |
grt-split-tool | cli | global executable | |
grt-svm-tool | cli | global executable | |
grt-test-tool | cli | global executable |
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.
https://github.com/nickgillian/grt
install metadata
| Package key | brew:grt |
|---|---|
| Version | 0.2.4 |
| Package manager | Homebrew |
| Package manager page | https://formulae.brew.sh/formula/grt |
| Homepage | https://nickgillian.com/grt/ |
| Repository | https://github.com/nickgillian/grt |
| Upstream docs | https://nickgillian.com/grt |
| License | MIT |
| Source archive | https://github.com/nickgillian/grt/archive/refs/tags/v0.2.4.tar.gz |
| Build dependencies | cmake |
| Bottle | available (on arm64_big_sur, arm64_linux, arm64_monterey, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, big_sur, catalina, monterey, sonoma, ventura, x86_64_linux) |
| Homebrew post-install | not defined |
| Service | none declared |
registry facts
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | grt |
| Version Scheme | 0 |
| Revision | 0 |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
source trail
This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.
View the package source record on GitHub.