Bootstrap vs. React Bootstrap vs. broot vs. python-sql Comparison Chart

Powerful, extensible, and feature-packed frontend toolkit. Build and customize with Sass, utilize prebuilt grid system and components, and bring projects to life with powerful JavaScript plugins. Jump right into building with Bootstrap, use the CDN, install it via the package manager, or download the source code. Bootstrap utilizes Sass for modular and customizable architecture. Import only the components you need, enable global options like gradients and shadows and write your own CSS with our variables, maps, functions, and mixins. Import one stylesheet and you're off to the races with every feature of our CSS. The easiest way to customize Bootstrap, include only the CSS you need. Bootstrap 5 is evolving with each release to better utilize CSS variables for global theme styles, individual components, and even utilities. We provide dozens of variables for colors, font styles, and more for use anywhere.

The ROOT data analysis framework is used much in High Energy Physics (HEP) and has its own output format (.root). ROOT can be easily interfaced with software written in C++. For software tools in Python there exists pyROOT. Unfortunately, pyROOT does not work well with python3.4. broot is a small library that converts data in python numpy ndarrays to ROOT files containing trees with a branch for each array. The goal of this library is to provide a generic way of writing python numpy datastructures to ROOT files. The library should be portable and supports both python2, python3, ROOT v5 and ROOT v6 (requiring no modifications on the ROOT part, just the default installation). Installation of the library should only require a user to compile to library once or install it as a python package.