ImageMagick VS libuv

To tie all this together, we made an org profile for our GitHub organization page. There are some great examples of these, like Microsoft and PayPal. For Fastly's, we wanted something friendly and human so we used Imagemagick to create a montage of all the avatars of the Fastly team members who have contributed to the open source projects in our org:

Python has become a popular programming language for different applications, including data science, artificial intelligence, and web development. But, did you know creating and rendering fully customized videos with Python is also possible? At Stack Builders, we have successfully used Python libraries such as MoviePy, SciPy, and ImageMagick to generate videos with animations, text, and images. In this article, we will look closer at how Python can be used for video generation and explore some of the powerful libraries and tools that make it possible.

ImageMagick is the main tool and can do most conversions and image operations. For example to resize a whole folder of photos and convert to WebP you can do this:

Lack of open governance explains the fork in 2002. [0] The github commit history shows it's still a largely one-person-band. [1] The problems with this include a lack of succession planning, a lack of ability to scale bandwidth, and a narrower pool of ideas. The documentation website is really out-of-date as it mentions using a Borland compiler.

Alternatives to IM:

- https://www.libvips.org

- http://www.graphicsmagick.org (IM fork)

0. https://marc.info/?l=imagemagick-developer&m=104777007831767...

1. https://github.com/ImageMagick/ImageMagick

You can rotate it using https://imagemagick.org

I wound up on a different team with pre-existing Python code so temporarily shelved my use of Go for a bit, and we used Sanic (an async Python framework built on top of the excellent uvloop & libuv that also powers Node.js) to build some APIs for live channel management & operations. We hand-wrote our OpenAPI and used it to generate documentation and a CLI, which was an improvement over what was there (or not) before. Other teams used the OpenAPI document to generate SDKs to interact with our service.

In the source code of the Node.js opensource project, lib folder contains JavaScript code, mostly wrappers over C++ and function definitions. On the contrary, src folder contains C++ implementations of the functions, which pulls dependencies from the V8 project, the libuv project, the zlib project, the llhttp project, and many more - which are all placed at the deps folder.

Libuv, the C library that gives Node.js its asynchronous, non-blocking I/O capability is responsible for managing the thread pool. Node.js gives you the capability of using additional threads for computationally expensive and long-lasting operations to avoid blocking the event loop.

Node.js is written in C, C++, and JavaScript. The core components of Node.js - the V8 engine and the libuv library - are written in C++ and C, respectively, since these languages provide low-level access to system resources, making them well-suited for building high-performance and efficient applications. JavaScript is mainly used to write the application logic.

x8 apparently https://github.com/libuv/libuv/pull/3952

Notably upgrades to libuv 1.45 which has io_uring support. Faster file system access! Awhh yeah, it's on.

Remarkable what a mild & unintrusive PR adding io_uring was. https://github.com/libuv/libuv/pull/3952

Well, the single-threaded nature ultimately leads to its biggest downfall. Node.js utilizes a synchronous event loop engineered using Libuv that takes in code from the call stack and executes it.