CogCompNLP VS DKPro Core

Compare CogCompNLP vs DKPro Core and see what are their differences.

CogCompNLP

CogComp's Natural Language Processing libraries and Demos: (by CogComp)

DKPro Core

Collection of software components for natural language processing (NLP) based on the Apache UIMA framework. (by dkpro)
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CogCompNLP DKPro Core
0 0
431 188
0.2% 0.0%
4.1 4.8
8 days ago 3 days ago
Java Java
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

CogCompNLP

Posts with mentions or reviews of CogCompNLP. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning CogCompNLP yet.
Tracking mentions began in Dec 2020.

DKPro Core

Posts with mentions or reviews of DKPro Core. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning DKPro Core yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing CogCompNLP and DKPro Core you can also consider the following projects:

CoreNLP - Stanford CoreNLP: A Java suite of core NLP tools.

Apache OpenNLP - Mirror of Apache OpenNLP

simplenlg - Java API for Natural Language Generation. Originally developed by Ehud Reiter at the University of Aberdeen’s Department of Computing Science and co-founder of Arria NLG. This git repo is the official SimpleNLG version.

Mallet - MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.