Cython vs. NumPy vs. Python vs. hapi 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.

Build powerful, scalable applications, with minimal overhead and full out-of-the-box functionality, your code, your way. Developed initially to handle Walmart’s Black Friday sales, hapi continues to be the proven choice for enterprise-grade backend needs. When you install hapi, every single line of code you get has been verified. You never have to worry about some deep dependency being poorly maintained (or handed over to someone sketchy). hapi is the only leading node framework without any external code dependencies. hapi requires the most secure settings to manage, control, and distribute code, including 2FA for all contributors. Every hapi component comes with the most secure defaults out of the box. Along with protecting server load with payload limits and request timeouts, hapi blocks error messages that could leak information or echo back exploits. The most comprehensive authorization and authentication API available in a Node framework.