hello VS NumPy

Compare hello vs NumPy and see what are their differences.

NumPy

The fundamental package for scientific computing with Python. (by numpy)
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hello NumPy
1 272
14 26,413
- 1.1%
0.0 10.0
6 months ago 1 day ago
CMake Python
MIT License 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.

hello

Posts with mentions or reviews of hello. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-04.

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 2024-03-20.

What are some alternatives?

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

NLTK - NLTK Source

SymPy - A computer algebra system written in pure Python

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

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

lxml - The lxml XML toolkit for Python

blaze - NumPy and Pandas interface to Big Data

OpenCV - Open Source Computer Vision Library

SciPy - SciPy library main repository

Vue.js - This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core

Numba - NumPy aware dynamic Python compiler using LLVM

astropy - Astronomy and astrophysics core library

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).