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.
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
If you're more into Javascript, jimp works, too. Source: about 2 years ago
I've used Jimp before - probably other libs like it :). Source: about 2 years ago
I’m not sure how to best answer but I have used jimp recently, and liked it. Source: over 2 years ago
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
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
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
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
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
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
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