scikit-image
Reviews
Star rating
Rank in Image Recognition
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 30.8% |
| Mid-Market | 30.8% |
| Enterprise | 38.5% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|
Satisfaction ratings
What reviewers say
Easy to use, open source Image processing algorithm library for use in python
“free and open-source library with a variety of common image processing algorithms. Easy to import and analyse 2D and 3D images with simple python code. One of the optimized library with a stable version. Very useful in pattern recognition and AI applications. Easy to use and impl”
Most efficient image processing algorithms
“I like the seamless implementation of this library and methods, and it's pretty easy to embed them in your code. It can be coupled up with visualization using the matplotlib library in Python which is pretty cool.”
best open source API for image processing!!
“one of the best and stable API for image processing , it provides matplotlib based canvas for image displaying which is very handy to use , we can easily add plugins to the viewer , and especially efficiency of the confidence provided in the output is very good !!”