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The following are not part of Apache cTAKES but may be of interest to cTAKES users. 

NameWhen used Site Description License
Anafora github.com/weitechen/anaforaweb-based raw text annotation toolhttps://github.com/weitechen/anafora#download-anafora
Annotation Viewerpostgithub.com/GeisingerBTI/AnnotViewerview cTAKES' annotations from XMIs in a batchhttps://github.com/GeisingerBTI/AnnotViewer/blob/master/LICENSE
Command line toolwrapper github.com/giuseppetotaro/ctakes-clinical-pipeline run the complete pipeline for annotating clinical documents in plain text format using the built in UMLS (SNOMEDCT and RxNORM) dictionaries from a command line https://github.com/giuseppetotaro/ctakes-clinical-pipeline#license
Command line toolwrappergithub.com/dmitriydligach/ctakes-misc a simple pipeline that involves dictionary lookup. Mentioned in this post to dev@.unknown
Hadoop, cTAKES integration  github.com/pcodding/hadoop_ctakes

allows cTAKES to be invoked on clinical document data presented as Tuples to cTAKES

https://github.com/pcodding/hadoop_ctakes/blob/master/LICENSE
MISTpre mist-deid.sourceforge.net/

a suite of tools for identifying and redacting PII in free-text medical records

See "What license does it have?" on

http://mist-deid.sourceforge.net/

RESTful interfacewrappergithub.com/dirkweissenborn/ctakes-servera simple REST-server around ctakes clinical pipelineunknown
Tika, cTAKES integration wiki.apache.org/tika/cTAKESParserdetects and extracts from over a thousand different file typeshttp://www.apache.org/licenses/

UMLS and NLM tools such as

MetamorphoSys

Semantic Network 

SPECIALIST Lexicon

 www.nlm.nih.gov/research/umls/implementation_resources/NLM applications utilize UMLS datahttps://uts.nlm.nih.gov//license.html


Definitions

 PII = personally identifiable information

 MIST =  MITRE Identification Scrubber Toolkit 

 NLM = U.S. National Library of Medicine

 UMLS = Unified Medical Language System

 

 

 

 

 

 

 

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