spaCy
Reviews
Star rating
Rank in Component Libraries
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 38.1% |
| Mid-Market | 33.3% |
| Enterprise | 28.6% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|
Satisfaction ratings
What reviewers say
An open, well documented system with a clear architecture
“spaCy supports well, in a modular way, all low levels of text analysis, making easy to add support for new languages.”
spaCy for NLP
“SpaCy continues to be open source and publicly accessible even with the most modern algorithms. Modern named entity recognition performs flawlessly and tags words into their correct parts of speech quickly and accurately. Over twenty languages can be used with its extensive libra”
Great tool for Natural language processing
“1. Information extraction related to Locations, Names, Nouns, Verbs, etc. from the English text. 2. Pre-trained model which helps in building faster and smoother.”