Project Summary
MITIE: library and tools for information extraction
This project provides free (even for commercial use) state-of-the-art information extraction tools. The current release includes tools for performing named entity extraction and binary relation detection as well as tools for training custom extractors and relation detectors.
MITIE is built on top of dlib, a high-performance machine-learning library. MITIE offers several pre-trained models providing varying levels of support for both English, Spanish, and German The core MITIE software is written in C++, but bindings for several other software languages including Python, R, Java, C, and MATLAB allow a user to quickly integrate MITIE into his/her own applications.
In a Nutshell, MITIE...
- ...
- ...
-
...
has a well established, mature codebase
maintained by a small development team
with increasing Y-O-Y commits -
...
took an estimated 88 years of effort (COCOMO model)
starting with its first commit in February, 2014
ending with its most recent commit 2 months ago
Quick Reference
Boost Software License 1.0
Permitted
Commercial Use
Modify
Distribute
Forbidden
Hold Liable
Required
Include Copyright
Include License
These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
Vulnerabilities per Version ( last 10 releases )
There are no reported vulnerabilities
Project Vulnerability Report
Security Confidence Index
Vulnerability Exposure Index
Did You Know...
-
...
use of OSS increased in 65% of companies in 2016
-
...
data presented on the Open Hub is available through our API
-
...
in 2016, 47% of companies did not have formal process in place to track OS code
-
...
you can embed statistics from Open Hub on your site
30 Day SummaryNov 8 2025 — Dec 8 2025
|
12 Month SummaryDec 8 2024 — Dec 8 2025
|
