Software Alternatives, Accelerators & Startups

ImageEngine VS NumPy

Compare ImageEngine VS NumPy and see what are their differences

ImageEngine logo ImageEngine

ImageEngine is the leading Image CDN. ImageEngine will optimize images real time by producing highest visual quality at the lowest possible byte size.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • ImageEngine Landing page
    Landing page //
    2023-06-27

What is an Image CDN? A content delivery network (CDN) is a global network of servers that optimizes web performance by using the node closest to the user for faster delivery of assets. An Image CDN adds device detection and image optimization prior to delivering images from the CDN. An Image CDN decreases image payload, delivers images tailored exactly to each requesting device, ands instantly sends images from the edge of the network. The result is faster page loading that drives higher SEO ranking and better user experience.

What Makes ImageEngine Different?

  • 30% faster than other CDNs.
  • 49% more efficient image payload optimization.
  • Superior Mobile Support
  • Real time AVIF, WEBP, JPEG2000 support
  • Plugins for Wordpress (https://wordpress.org/plugins/image-cdn/), Magento and other popular platforms.
  • NumPy Landing page
    Landing page //
    2023-05-13

ImageEngine

$ Details
freemium $49.0 / Monthly (100 GB)
Platforms
Browser Web Magento Wordpress WooCommerce Shopify Wix BigCommerce REST API JavaScript
Release Date
2016 January

ImageEngine videos

Meet ImageEngine, the leading Image CDN

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 ImageEngine and NumPy)
Image Processing
100 100%
0% 0
Data Science And Machine Learning
Image Optimisation
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 ImageEngine and NumPy

ImageEngine Reviews

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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 seems to be a lot more popular than ImageEngine. While we know about 107 links to NumPy, we've tracked only 4 mentions of ImageEngine. 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.

ImageEngine mentions (4)

  • Best Free Image CDN?
    A true image cdn will optimize for size and quality and format and provide the best image for the requesting device. ImageEngine (https://imageengine.io/) and Cloudinary https://cloudinary.com/ are two examples. The true image cdns are not free or cheap and would only make sense for sites with thousands of images. Source: over 1 year ago
  • Getting Started with ImageEngine and Angular
    In this article we'll go through using @imageengine/angular package in a sample project to easily take advantage of ImageEngine's CDN and optimisation engine. - Source: dev.to / almost 3 years ago
  • Getting Started with ImageEngine and React
    React is an open source library built by Facebook for building user interfaces in a declarative approach. ImageEngine is an image CDN that helps accelerate the performance of your website with their plug-in toolsets. - Source: dev.to / almost 3 years ago
  • Core Web Vitals Score Updates Impact Google SEO
    LCP estimates how long it takes to load the largest content such as a website’s feature image, text, or video in a desktop or mobile viewport. This kind of largest image content can be optimized and delivered superfast to the end-user with the help of ImageEngine. - Source: dev.to / about 3 years ago

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 / 2 months 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 / 3 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 5 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 / 7 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 / 7 months ago
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What are some alternatives?

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

Cloudimage - Cloudimage.io is the easiest way to resize, store, and deliver your images to your customers through a rocket fast CDN.

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

Sirv - Dynamic image processing, hosting and rich-media for retailers and eCommerce.

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

imgix - Real-time Image Processing. Resize, crop, and process images on the fly, simply by changing their URLs.

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