NumPy VS Django

Compare NumPy vs Django and see what are their differences.

NumPy

The fundamental package for scientific computing with Python. (by numpy)
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NumPy Django
272 484
26,413 76,886
1.1% 0.7%
10.0 9.8
5 days ago 4 days ago
Python Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" License
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.

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.

Django

Posts with mentions or reviews of Django. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-09.

What are some alternatives?

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

SymPy - A computer algebra system written in pure Python

Nest - A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications with TypeScript/JavaScript 🚀

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

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

blaze - NumPy and Pandas interface to Big Data

Flask - The Python micro framework for building web applications.

SciPy - SciPy library main repository

Masonite - The Modern And Developer Centric Python Web Framework. Be sure to read the documentation and join the Discord channel for questions: https://discord.gg/TwKeFahmPZ

Numba - NumPy aware dynamic Python compiler using LLVM

AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python

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).

Nuxt.js - Nuxt is an intuitive and extendable way to create type-safe, performant and production-grade full-stack web apps and websites with Vue 3. [Moved to: https://github.com/nuxt/nuxt]