CoreNLP VS Deep Java Library (DJL)

Compare CoreNLP vs Deep Java Library (DJL) and see what are their differences.

CoreNLP

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc. (by stanfordnlp)
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CoreNLP Deep Java Library (DJL)
11 13
9,496 3,896
0.8% 2.4%
9.2 9.5
4 days ago about 8 hours ago
Java Java
GNU General Public License v3.0 only Apache License 2.0
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.

CoreNLP

Posts with mentions or reviews of CoreNLP. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-11.

Deep Java Library (DJL)

Posts with mentions or reviews of Deep Java Library (DJL). We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-11.

What are some alternatives?

When comparing CoreNLP and Deep Java Library (DJL) you can also consider the following projects:

Apache OpenNLP - Apache OpenNLP

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

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.

mediapipe - Cross-platform, customizable ML solutions for live and streaming media.

DKPro Core - Collection of software components for natural language processing (NLP) based on the Apache UIMA framework.

Tribuo - Tribuo - A Java machine learning library

CogCompNLP - CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.

Apache Flink - Apache Flink

Apache Solr - Apache Lucene and Solr open-source search software

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing