Software Alternatives & Reviews

NumPy VS BundlePhobia

Compare NumPy VS BundlePhobia and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

BundlePhobia logo BundlePhobia

Find the performance impact of adding a npm package to your bundle.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • BundlePhobia Landing page
    Landing page //
    2022-07-14

NumPy

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Python Tools
  • Software Libraries
Website numpy.org
Details $

BundlePhobia

Categories
  • JavaScript Tools
  • JavaScript
  • Software Development
  • Developer Tools
Website bundlephobia.com
Details $-

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

BundlePhobia videos

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Category Popularity

0-100% (relative to NumPy and BundlePhobia)
Data Science And Machine Learning
Developer Tools
0 0%
100% 100
Data Science Tools
100 100%
0% 0
JavaScript 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 NumPy and BundlePhobia

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

BundlePhobia Reviews

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Social recommendations and mentions

Based on our record, NumPy should be more popular than BundlePhobia. It has been mentiond 107 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.

NumPy mentions (107)

  • 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 / about 1 month ago
  • JSON in data science projects: tips & tricks
    Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / about 1 month ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 4 months ago
  • A Comprehensive Guide to NumPy Arrays
    Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
  • Beginning Python: Project Management With PDM
    A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 6 months ago
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BundlePhobia mentions (50)

  • JavaScript Habits That Grind My Gears
    So, before adding a dependency to your projects, ask yourself if you truly need it and check how much a package weighs. If you would like to go through cleaning up process, I wrote an article on optimizing Next.js bundle size on my private blog. - Source: dev.to / 6 months ago
  • 3 online tools to use for selecting a future-proof NPM library for frontend and Nodejs projects
    🔴 https://bundlephobia.com/ - estimate a footprint, basically how many Kb will be added to your bundle when you add this dependency to your project. Those may differ a lot, try comparing say - dayjs vs momentjs ;. - Source: dev.to / 7 months ago
  • Tiptap vs remirror installation sizes
    I have phobia of dependencies and package sizes, so tiptap is 62KB and remirror is 150KB. Not much difference, since difference is no in MB's. Source: 8 months ago
  • Add stepper components to your React app
    External packages increase your app bundle size (you can calculate this using BundlePhobia), so adding a third-party package for every development requirement isn’t always a good choice. Also, third-party packages may not completely fulfill your design requirements and may bring features that you don’t even use. Writing your own stepper component is also an option by including only the required features. - Source: dev.to / 12 months ago
  • Selecting the Right Dependencies: A Comprehensive Practical Guide
    For web projects, there is a great tool to determine package sizes: Bundlephobia. Of course, server-side rendering and tree shaking might reduce the size, but this needs to be always verified. - Source: dev.to / about 1 year ago
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What are some alternatives?

When comparing NumPy and BundlePhobia, 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.

JavaScript.com - A free resource for learning and developing in JavaScript

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

bundlejs - A quick and easy way to bundle, minify, and compress (gzip and brotli) your ts, js, jsx and npm projects all online, with the bundle file size.

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

2016 JavaScript Rising Stars - The most starred JavaScript projects of 2016