SimpleStats is built on a carefully selected set of open-source libraries and packages that power its statistical and data visualization capabilities. These tools have been chosen not only for their reliability and performance, but also for their active development communities and strong documentation — making them ideal for delivering transparent, reproducible results.

Whether it’s running statistical tests, building interactive tables, or rendering dynamic charts, each library plays a key role in ensuring SimpleStats is both powerful and easy to use. From Python’s robust scientific ecosystem to lightweight and flexible JavaScript solutions, the stack behind SimpleStats reflects a commitment to accessibility and precision.

Below is a list of the core libraries currently used in the project, including version information, platform details, and links for further exploration.