NumPy vs. imageio vs. pdfChip vs. test_coverage 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.

pdfChip is a command-line application for the creation of high-quality PDFs from HTML (taking full advantage of CSS and JavaScript). It supports all HTML features but extends to support CMYK, spot color, XMP metadata, PDF standards, SVG, MathML, barcodes, and more. Capable of generating single and multi-page PDF documents it is ideally suited for high-volume dynamic PDF generation. pdfChip is a command-line application for the creation of high-quality PDFs from HTML, taking full advantage of CSS and JavaScript. pdfChip is based on WebKit technology, it renders your designs quickly and flawlessly into PDF. It allows to creation of fully compliant PDF/X files (for print) or PDF/A files (for archival), in the smallest output PDF size possible. Furthermore, it’s possible to use the exact same HTML and CSS code on the web as well as for PDF generation. pdfChip has a low entry level, as the command-line interface is clear and easy-to-learn.