NLTK Project

license

Apache-2.0(OSI

source

public(github.com/nltk/nltk)

core features withheld

no — community-driven

The code is Apache-2.0 and builds whole from the public repository, which has no enterprise, commercial or pro directory. Its documentation is under a non-commercial Creative Commons license and each corpus carries its own terms, but those cover the manuals and the data, not the library.

• https://cdn.jsdelivr.net/gh/nltk/nltk@develop/LICENSE.txt recorded 2026-09-26

  LICENSE.txt is the Apache License, Version 2.0 text with the unfilled appendix template.

• https://cdn.jsdelivr.net/gh/nltk/nltk@develop/README.md recorded 2026-09-26

  README: "NLTK source code is distributed under the Apache 2.0 License." / "NLTK documentation is distributed under the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States license." / "Copyright (C) 2001-2026 NLTK Project".

• https://data.jsdelivr.com/v1/packages/gh/nltk/nltk@develop?structure=flat recorded 2026-09-26

  Flat file listing of develop, 498 paths, with no ee, enterprise, commercial or pro directory.

• https://www.nltk.org/ recorded 2026-09-26

  Homepage: "Best of all, NLTK is a free, open source, community-driven project."

Measured on monthly PyPI downloads of the nltk package.

• https://pypistats.org/api/packages/nltk/recent recorded 2026-09-26

  last_month 42,218,083 downloads of nltk

NLTK covers the classical NLP pipeline end to end with many learners - taggers, parsers, classifiers - and the corpora to train them on. It is a toolkit to build with, and leaves the choice among its methods to the user.

• https://www.nltk.org/ recorded 2026-09-26

  Homepage: "easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning".

• https://www.nltk.org/py-modindex.html recorded 2026-09-26

  Module index: ccg, chat, chunk, classify, cluster, collocations, corpus, grammar, inference, lm, metrics, parse, probability, sem, sentiment, stem, tag, tbl, tokenize, translate, tree, wsd.