Software Alternatives & Reviews

Jimp VS NumPy

Compare Jimp VS NumPy and see what are their differences

Jimp logo Jimp

Jimp is an image processing library written entirely in JavaScript for Node.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Jimp Landing page
    Landing page //
    2023-10-21
  • NumPy Landing page
    Landing page //
    2023-05-13

Jimp videos

JImp: Baccano Review

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 Jimp and NumPy)
Image Editing
100 100%
0% 0
Data Science And Machine Learning
Image Optimisation
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

Share your experience with using Jimp and NumPy. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Jimp Reviews

We have no reviews of Jimp yet.
Be the first one to post

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 Jimp. While we know about 107 links to NumPy, we've tracked only 6 mentions of Jimp. 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.

Jimp mentions (6)

  • How to create and read QR codes in Node.js
    QR codes are a convenient and efficient way to store and share information. Reading and writing QR codes can easily be done with Node.js, the popular JavaScript runtime environment. In this article, we will go over the steps for reading and writing QR codes in Node using three popular libraries: qrcode-reader and jimp for reading QR codes, and qrcode for generating QR codes. - Source: dev.to / about 1 year ago
  • Looking for any method, programmatically or through GIMP or another free software, to stretch an image a variable amount as a function of distance from center of the screen.
    If you're more into Javascript, jimp works, too. Source: about 2 years ago
  • need help saving image with transparent background
    I've used Jimp before - probably other libs like it :). Source: about 2 years ago
  • What are some good server-side JS libraries?
    I’m not sure how to best answer but I have used jimp recently, and liked it. Source: over 2 years ago
  • What are your best Node tips/tricks/discoveries from 2021?
    As a seasoned sharp user, discovered jimp . Had to convert an image to BMP once and sharp doesn't support that format. Source: over 2 years ago
View more

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 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 / about 2 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 / 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 / 7 months ago
View more

What are some alternatives?

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

TinyPNG - Make your website faster and save bandwidth. TinyPNG optimizes your PNG images by 50-80% while preserving full transparency!

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

PNGGauntlet - -Combines PNGOUT, OptiPNG, and DeflOpt to create the smallest PNGs

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

GPUImage - GPUImage is an open source iOS framework for GPU-based image and video processing.

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