Julia

Achieves speeds comparable to C and Fortran through LLVM-based just-in-time compilation, as highlighted in the key features, eliminating the two-language problem.

Core paradigm allows functions to be defined across many argument type combinations, enabling efficient and flexible code, which is a central philosophy of the language.

Easily calls C, Fortran, and Python libraries, facilitating integration with existing codebases, as stated in the key features for technical computing.

Includes a rich set of built-in packages for scientific domains, supporting rapid development without external dependencies, per the README's emphasis on a rich ecosystem.