NumPy vs. Python vs. WebDataRocks vs. broot 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.

WebDataRocks is a simple free JS library for creating functional and easy-to-use pivot tables. It can be used with Angular, Vue, React or any other framework. Free Flexible in customization JavaScript based client-side component Loads 1MB of JSON or CSV data files Full set of enterprise features Integration with 3rd party charting libraries Full set of enterprise features Features like filtering, sorting, grouping, conditional and number formatting, calculated values, totals are available for efficient work with your data. It supports printing or exporting web report to PDF, Excel or HTML with just one click. Ready-to-use modern UI The tool offers a classy spreadsheet-like interface optimized both for browsers and apps. All principles of reliability and excellent user experience are already implemented in this web reporting tool.