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NeuroNER
Python

NeuroNER

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

by Franck-Dernoncourt · GitHub
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deep-learningmachine-learningnamed-entity-recognitionMITPython
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Run a program that identifies and categorizes named entities in text using advanced neural networks.

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2026-07-202026-08-31
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📄 About

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

NeuroNER has 1.7k stars on GitHub. It has been forked 472 times. NeuroNER is written mainly in Python. It has been in active development since 2017. NeuroNER is available under the MIT license. Its main topics are deep-learning, machine-learning, named-entity-recognition, neural-networks.

Frequently asked questions

What is NeuroNER?

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

Is NeuroNER open source?

NeuroNER is an open-source project. It is released under the MIT license.

Is NeuroNER free?

Yes. NeuroNER is free and open source — you can use, modify and self-host it.

What license does NeuroNER use?

NeuroNER is available under the MIT license.

What language is NeuroNER written in?

NeuroNER is written mainly in Python.

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