Cython vs. NumPy vs. Python vs. Velocity.js Comparison Chart

Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

Velocity is an animation engine with the same API as jQuery's animate. It works with and without jQuery. It's incredibly fast, and it features color animation, transforms, loops, easings, SVG support, and scrolling. It is the best of jQuery and CSS transitions combined. Download Velocity, include it on your page and replace all instances of jQuery's animate with velocity. You will immediately see a performance boost across all browsers and devices, especially on mobile. Velocity works everywhere, back to IE8 and Android 2.3. Under the hood, it mimics jQuery's queue, and thus interoperates seamlessly with jQuery's animate, fade, and delay. Since Velocity's syntax is identical to animate, your code doesn't need to change. JavaScript and jQuery are falsely conflated. JavaScript animation, which Velocity uses, is fast; it's jQuery that's slow. Although Velocity works alongside jQuery, it uses its own animation stack that delivers its performance.