numpy download
Reviews
Star rating
Rank in Component Libraries
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 36.0% |
| Mid-Market | 12.0% |
| Enterprise | 52.0% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|
Satisfaction ratings
What reviewers say
Versatile Python library for mathematical and statistical problem
“Easy to sync with other libraries. Well mix of C and fortran makes it better than standard python”
Easy and Convenient
“It's a great library for doing advanced math that helps us work with Python's multidimensional arrays and matrices. It is very easy to use. It comes with Anaconda. It can be used efficiently with data science related libraries. It facilitates processing on large datasets.”
Best library for mathematical processing in python
“The best thing about NumPy is its array implementation. I can implement 1D, 2D and more dimensions of the array. I can also change the data type of array. I can use NumPy for Image Processing. It is a very fast library for mathematical operations.”