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NumPy VS GitHub

Compare NumPy VS GitHub and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

GitHub logo GitHub

Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • GitHub Landing page
    Landing page //
    2023-10-05

GitHub

Website
github.com
$ Details
Release Date
2008 January
Startup details
Country
United States
State
California
Founder(s)
Chris Wanstrath
Employees
500 - 999

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

GitHub videos

How to do coding peer reviews with Github

More videos:

Category Popularity

0-100% (relative to NumPy and GitHub)
Data Science And Machine Learning
Software Development
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Code Collaboration
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and GitHub

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

GitHub Reviews

  1. perfect 4 open Source

The Top 10 GitHub Alternatives
However, like any (human) product, the platform has its limits, downsides, and critics. GitHub has been barred by certain governments, and even if that isn’t exactly the company’s fault, the users are the ones limited from pushing their code. Another criticism concerns the price tag: some users have pointed out that GitHub’s pricing model is too inflexible. Moreover, some...
Top 7 GitHub Alternatives You Should Know (2024)
FAQs: Are there any cloud source repositories similar to GitHub?Is there a free alternative to GitHub?
Source: snappify.com
Best GitHub Alternatives for Developers in 2023
We may earn from vendors via affiliate links or sponsorships. This might affect product placement on our site, but not the content of our reviews. See our Terms of Use for details. Looking for an alternative to GitHub? Check out our in-depth list of the best GitHub competitors, covering their features, pricing, pros, cons, and more.
Let's Make Sure Github Doesn't Become the only Option
In GitHub’s early days, picking a single version control system could have legitimately been a way to focus the product. GitHub is big enough now that they could dedicate some time toward exploring other tools. But it’s not really GitHub’s job to do this. GitHub’s job is to make Microsoft money. Features that improve the lives of developers are incidental.
8 Best Replit Alternatives & Competitors in 2022 (Free & Paid) - Software Discover
Github is where over 73 million developers shape the future of software, together. Contribute to the open source community, manage your git repositories, review code like a pro, track bugs and features, power your CI/CD and DevOps workflows, and secure code before you commit it. Github: Where the world builds software · github.

Social recommendations and mentions

Based on our record, GitHub seems to be a lot more popular than NumPy. While we know about 2083 links to GitHub, we've tracked only 112 mentions of NumPy. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

NumPy mentions (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 24 days ago
  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 24 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 29 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / about 1 month ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
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GitHub mentions (2083)

  • Your website deserves to look good on social medias
    I know sometime you might have wondered how websites such as GitHub and Dev do to make their image and description appear when you share their links through social medias on even some messaging applications as illustrated here in WhatsApp. - Source: dev.to / 4 days ago
  • TypeScript VS Angular for Gantt charts
    GitHub: Explore repositories and projects to see how others are using TypeScript and Angular for Gantt chart development. - Source: dev.to / 4 days ago
  • How to Get Free Unlimited Bandwidth and Storage Using jsDelivr and GitHub
    If you don't already have a GitHub account, go to GitHub's website and sign up for free. Once you have your account, you're ready to create a new repository. - Source: dev.to / 5 days ago
  • Figma Config 2024
    Another standout talk for me was from GitHub, which discussed challenges with its design system, Primer. They went into detail about how organisational changes have altered the course of its development and how they've had to adjust to the needs of the business over time to adapt and grow. As an engineering lead, I really resonated with this talk. - Source: dev.to / 7 days ago
  • OpenSSH Race condition resulting in potential remote code execution
    I have a script that looks at your github org/team and generates/updates users on-demand then lets you connect. The script is pretty straightforward, see AuthorizedKeysCommand and https://github.com/{$user}.keys. - Source: Hacker News / 7 days ago
View more

What are some alternatives?

When comparing NumPy and GitHub, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab

OpenCV - OpenCV is the world's biggest computer vision library

BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft