Cython vs. NumPy vs. Wing Python IDE vs. pdfmake 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.

pdfmake is a PDF document generation library for server-side and client-side usage in pure JavaScript. Print PDFs directly in the browser or delegate them to your NodeJS backend. Use the same document definition in both cases. Forget about manual x, and y calculations. Declare document structure and let pdfmake do the rest. Use paragraphs, columns, lists, tables, canvas, etc. Declare your own styles, use custom fonts, build a DSL, and extend the framework. Line-wrapping, text-alignments (left, right, centered, justified), numbered and bulleted lists, margins, images, and vector graphics. Convenient styling, style inheritance, and custom style dictionaries. Auto/fixed/star-sized/percentage columns widths, col-spans, and row-spans, headers automatically repeated in case of a page-break, non-breaking rows, and non-breaking sections keeping headers and rows together. Static or dynamic content, page numbers, and page count.