NumCpp is a header-only C++ library that implements the Python NumPy API for numerical computing in C++.
The library addresses the need to perform NumPy-style array operations and numerical algorithms in C++ without requiring Python or external dependencies beyond Boost. It provides a templatized NdArray class as its core data structure, which represents 2D arrays with 1D arrays implemented as 1xN variants. The approach mirrors NumPy's interface closely, allowing developers familiar with NumPy to write equivalent code in C++ using similar function names and patterns. The library includes initializer functions for common array creation tasks, reshaping operations, type conversion methods, and a broad range of mathematical and algorithmic functions.
Developers should choose this tool when they need NumPy-like functionality in a compiled C++ application where Python integration is impractical or undesirable. It suits scientific computing, numerical analysis, and data processing projects that require performance benefits of native C++ while maintaining a familiar API. The header-only design means no separate compilation step is needed, only inclusion in source files. The library supports modern C++ standards and works across multiple compilers and platforms, making it suitable for cross-platform numerical applications.
The project maintains active testing across multiple C++ standards and compiler versions, with continuous integration workflows validating builds. Development activity shows sustained attention to code quality and compatibility across a range of modern compiler releases and C++ language versions.
