To assist debugging in dev mode, it would be nice to have some visibility into the decision-making logic that Enry uses at runtime.

Problem: after getting a final prediction e.g though enry.GetLanguage() it's very hard to tell:

• what strategies were used
• what suggestions each strategy made
• what was the winning strategy

Such introspection would simplify maintenance and reduce the

When trying to attach language detector to multiple instances of spaCy, it fails. Example source code:

import spacy
from spacy_cld import LanguageDetector

nlp1 = spacy.load('en_core_web_sm')
language_detector1 = LanguageDetector()
nlp1.add_pipe(language_detector1)

nlp2 = spacy.load('en_core_web_md')
language_detector2 = LanguageDetector()
nlp2.add_pipe(language_detector2)

Is your feature request related to a problem? Please describe.
Not of a problem, more of an enhancement

Describe the solution you'd like
Add other languages from other repos, assuming that they use the Unicode codepoint + n-grams model.

Describe alternatives you've considered

• https://github.com/wooorm/franc/tree/master/packages/franc-all (JS, 401 languages)
  • Codepoints h

Hello there,

I'm new to the spaCy universe. I've encountered this issue but it could be something I did wrong.

How to reproduce the behavior

import spacy
from spacy_langdetect import LanguageDetector

nlp = spacy.load('en_core_web_sm')
language_detector = LanguageDetector()
nlp.add_pipe(nlp.create_pipe('sentencizer'))
nlp.add_pipe(language_detector, name='language_detector',