NumPy VS Nim

Compare NumPy vs Nim and see what are their differences.


The fundamental package for scientific computing with Python. (by numpy)


Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority). (by nim-lang)
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NumPy Nim
272 348
26,510 16,133
1.4% 0.8%
10.0 9.9
5 days ago about 23 hours ago
Python Nim
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of NumPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-20.


Posts with mentions or reviews of Nim. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-08.

What are some alternatives?

When comparing NumPy and Nim you can also consider the following projects:

SymPy - A computer algebra system written in pure Python

zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

go - The Go programming language

blaze - NumPy and Pandas interface to Big Data

Odin - Odin Programming Language

SciPy - SciPy library main repository

rust - Empowering everyone to build reliable and efficient software.

Numba - NumPy aware dynamic Python compiler using LLVM

crystal - The Crystal Programming Language

manim - Animation engine for explanatory math videos

v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation.