# Install grt with Homebrew

Gesture Recognition Toolkit for real-time machine learning. Version 0.2.4 via Homebrew; verified from local package data.

## Install

```sh
sudo av install brew:grt
```

Additional install commands:

### macOS

- Homebrew (100%):

```sh
brew install grt
```

  Evidence: local Homebrew formula metadata

## Package facts

- **Package key:** brew:grt
- **Package manager:** Homebrew
- **Package manager page:** <https://formulae.brew.sh/formula/grt>
- **Version:** 0.2.4
- **Source summary:** Gesture Recognition Toolkit for real-time machine learning
- **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>
- **Generated:** 2026-07-08T18:08:21+00:00

## Executables

- grt-lin-reg-tool (cli)
- grt-log-reg-tool (cli)
- grt-merge-tool (cli)
- grt-mlp-tool (cli)
- grt-rf-tool (cli)
- grt-softmax-tool (cli)
- grt-split-tool (cli)
- grt-svm-tool (cli)
- grt-test-tool (cli)
- grt-lin-reg-tool (alias)
- grt-log-reg-tool (alias)
- grt-merge-tool (alias)
- grt-mlp-tool (alias)
- grt-rf-tool (alias)
- grt-softmax-tool (alias)
- grt-split-tool (alias)
- grt-svm-tool (alias)
- grt-test-tool (alias)

## Build dependencies

- cmake

## Install behavior

- Post-install hook: not defined
- Bottle: available on arm64_big_sur, arm64_linux, arm64_monterey, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, big_sur, catalina, monterey, sonoma, ventura

## Freshness

- Page generated: 2026-07-08
- Package-manager version: 0.2.4
- Local data: ok
- Upstream repository: https://github.com/nickgillian/grt
- Upstream latest detected: v0.2.4 (current)
- info: No package-manager update timestamp was available.
## Project history and usage

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.

### Project history

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.

### Adoption history

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.

### How it is used

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.

### Why package nerds care

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.

### Timeline

- 2014: GRT described in the Journal of Machine Learning Research.
- 2014: GitHub repository created for nickgillian/grt.
- 2016: GRT Version 0.1.0 published on GitHub releases.
- 2016: GRT Version 0.2.0 published.
- 2016: GRT Version 0.2.4 published.

### Related projects

- ofxGrt integrates GRT with openFrameworks.
- ml-lib uses GRT concepts in Max and Pure Data contexts.
- ESP is listed by the GRT project as an application using GRT as a backend machine-learning system.

### Sources

- <https://api.github.com/repos/nickgillian/grt>
- <https://api.github.com/repos/nickgillian/grt/releases?per_page=30>
- <https://github.com/nickgillian/grt>
- <https://nickgillian.com/grt/>
- <https://www.jmlr.org/papers/volume15/gillian14a/gillian14a.pdf>


## Security Notes

narrow executable package without higher-risk signals.

- **Geiger risk:** green / low
- narrow executable package without higher-risk signals

## Source Database Details

- **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:** stable


## Related links

- [Terminal utility packages](https://www.automicvault.com/pkg/terminal-utilities/) - Matched terminal and command-line workflow metadata.
- [Networking and protocol packages](https://www.automicvault.com/pkg/networking-protocol-tools/) - Matched network, protocol, or remote-service metadata.
- [Scientific computing packages](https://www.automicvault.com/pkg/scientific-computing-tools/) - Matched scientific computing metadata.
- [Homebrew utility packages](https://www.automicvault.com/pkg/brew-utility-packages/) - Matched Homebrew package provider.
- [cmake](https://www.automicvault.com/pkg/brew/cmake/) - Build dependency declared by Homebrew.
- [liblinear](https://www.automicvault.com/pkg/brew/liblinear/) - Shares av.db curated category or tags: cli, cpp, machine-learning, science.
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## Combined YAML source

View the package source record on GitHub. [combined/grt.yml](https://github.com/automic-vault/db/blob/main/combined/grt.yml)


## Sources

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