# Install mitie with Homebrew

Library and tools for information extraction. Version 0.7 via Homebrew; verified from local package data.

## Install

```sh
sudo av install brew:mitie
```

Additional install commands:

### macOS

- Homebrew (100%):

```sh
brew install mitie
```

  Evidence: local Homebrew formula metadata

## Package facts

- **Package key:** brew:mitie
- **Package manager:** Homebrew
- **Version:** 0.7
- **Source summary:** Library and tools for information extraction
- **Homepage:** <https://github.com/mit-nlp/MITIE/>
- **Repository:** <https://github.com/mit-nlp/MITIE>
- **Generated:** 2026-08-03T19:37:03+00:00

## Executables

- ner_example (alias)
- ner_stream (alias)
- relation_extraction_example (alias)

## Install behavior

- Bottle: not available

## Freshness

- Page generated: 2026-08-03
- Package-manager version: 0.7
## Project history and usage

MITIE, the MIT Information Extraction library, is a C++ library and tool collection for information extraction tasks such as named-entity recognition and relation extraction. Davis King's dlib announcement introduced MITIE as a free information-extraction toolkit with a C API and a streaming command-line named-entity recognizer, with plans for additional language bindings and NLP tools.

### How it is used

The GitHub project presents MITIE as a library first and a set of examples and command-line tools second. Its core is written in C++, but the project documents bindings for Python, R, Java, C, and MATLAB, with outside bindings for other languages. In practice, users build the shared library, download trained model files, run examples, or use tools such as `ner_stream`; the Homebrew package exposes demonstration and streaming executables for the smaller NLP tooling niche rather than a full application server.

### Sources

- <https://blog.dlib.net/2014/04/mitie-completely-free-and-state-of-art.html>
- <https://formulae.brew.sh/formula/mitie>
- <https://github.com/mit-nlp/MITIE>


## Security Notes

broad file, network, media, or database tool signal.

- **Geiger risk:** blue / medium
- broad file, network, media, or database tool signal


## Combined YAML source

View the package source record on GitHub. [combined/mitie.yml](https://github.com/mxcl/pkgdb/blob/main/combined/mitie.yml)


## Sources

- pkg.so package database
- Geiger risk classifier
- curated package history
- pkgdb category and tag curation
- cross-ecosystem install command graph