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npm VS NumPy

Compare npm VS NumPy and see what are their differences

npm logo npm

npm is a package manager for Node.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • npm Landing page
    Landing page //
    2023-10-03
  • NumPy Landing page
    Landing page //
    2023-05-13

npm videos

Artis bus NPM Mr marcha sopir ny ramah,Review detail bus baru yang berangkat dari Payakumbuh~Jakarta

More videos:

  • Review - Review bus baru NPM,, V15 Mr marcha ft kru kece,, berangkat Payakumbuh menuju Jakarta
  • Review - Analysis of an Exploited NPM Package || Jarrod Overson

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

Category Popularity

0-100% (relative to npm and NumPy)
Front End Package Manager
Data Science And Machine Learning
JS Build Tools
100 100%
0% 0
Data Science Tools
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 npm and NumPy

npm Reviews

Repository Management Tools
There are three components to npm, they are the website, registry and the cli. The npm website is the place where developers discover packages, set up their profiles and also manage the other aspects of npm. The npm registry is the huge database that contains all the dependencies and stuff whereas the npm cli is the one that is used by most of the developers to interact with...
Source: mindmajix.com
What is Artifactory?
All packages are organized so that you can keep track of all of the dependencies and their various versions. The registry, website, and command-line interface, or CLI, are the three components of npm. The npm website is where developers can find packages, create profiles, and manage other elements of the npm project. The npm registry is an extensive database that holds all...

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

Social recommendations and mentions

Based on our record, NumPy should be more popular than npm. It has been mentiond 111 times since March 2021. 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.

npm mentions (61)

  • A step-by-step guide on how to create and publish and npm package
    To begin, you will need to choose a name for your package. Note: Your package name must be unique. Using the exact or similar name of an existing package will return an error when publishing the package to npm. To ensure the uniquenesses of your package name, head over to npmjs.com and search for any existing packages with a similar name. If there’s an exact match or a similar name, consider changing the name... - Source: dev.to / about 2 months ago
  • Caching RESTful API requests with Heroku’s Redis Add-on
    By using Fastify, you can quickly get a Node.js application up and running to handle requests. Assuming you have Node.js installed, you’ll start by initializing a new project. We’ll use npm as our package manager. - Source: dev.to / about 2 months ago
  • 6 Tools To Help Keep Your Dependencies And Code More Secure
    It is on this last topic that I want to focus on in this post, and then in particular, how to make working with dependencies a bit safer within the NPM ecosystem. - Source: dev.to / 3 months ago
  • React Fundamentals part 2: Basic view on React core API's
    In modern applications you'll get React and React DOM files from a "package registry" like npm (react and react-dom). - Source: dev.to / 4 months ago
  • alacritty-themes not working any more!!!
    Install the alacritty-themes package globally with npm. - Source: dev.to / 5 months ago
View more

NumPy mentions (111)

  • 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 / about 21 hours ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 6 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 / 8 days 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 / 9 months ago
  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
View more

What are some alternatives?

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

Webpack - Webpack is a module bundler. Its main purpose is to bundle JavaScript files for usage in a browser, yet it is also capable of transforming, bundling, or packaging just about any resource or asset.

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

Yarn - Yarn is a package manager for your code.

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

Grunt - The Grunt ecosystem is huge and it's growing every day.

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