Compare openNLP and spaCy 
openNLP vs spaCy
- Reviewers felt that spaCy meets the needs of their business better than openNLP.
- When comparing quality of ongoing product support, reviewers felt that spaCy is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of spaCy over openNLP.
I like that it is a useful tool when we have a lot of documents in different languages and we need to detect the language in order to find appropriate translators in order to communicate with members of our community
Concurrency is she poor handling of xml parsers
I like the sentence parser and the quality of sentences I generates. I like the object based approach so it is very easy for making a flow. SpaCy also solve many problems with its trained models that other libraries can't.
I dislike its user interface, it needs to be updated with something that is more intuitive and user-friendly
I like that it is a useful tool when we have a lot of documents in different languages and we need to detect the language in order to find appropriate translators in order to communicate with members of our community
I like the sentence parser and the quality of sentences I generates. I like the object based approach so it is very easy for making a flow. SpaCy also solve many problems with its trained models that other libraries can't.
Concurrency is she poor handling of xml parsers
I dislike its user interface, it needs to be updated with something that is more intuitive and user-friendly
