Nim VS NumPy

Compare Nim vs NumPy and see what are their differences.

Nim

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)

NumPy

The fundamental package for scientific computing with Python. (by numpy)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern API for authentication & user identity.
  • Onboard AI - ChatGPT with full context of any GitHub repo.
Nim NumPy
344 267
15,923 25,768
1.0% 1.8%
9.8 9.9
4 days ago about 19 hours ago
Nim Python
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.

Nim

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 2024-01-01.

NumPy

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 2023-12-18.

What are some alternatives?

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

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

SymPy - A computer algebra system written in pure Python

go - The Go programming language

Odin - Odin Programming Language

rust - Empowering everyone to build reliable and efficient 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

crystal - The Crystal Programming Language

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

haxe - Haxe - The Cross-Platform Toolkit

blaze - NumPy and Pandas interface to Big Data

SciPy - SciPy library main repository

nimskull - An in development statically typed systems programming language; with sustainability at its core. We, the community of users, maintain it.