Launching today
NumC
The ultimate mathematics framework for modern C++.
5 followers
The ultimate mathematics framework for modern C++.
5 followers
NumC is a modern, high-performance, purely declarative mathematical framework written entirely in C++20 with zero external dependencies. It brings the expressive elegance of Python's NumPy/SciPy/Matplotlib ecosystem into the world of compiled, statically-typed C++ — without sacrificing a single cycle of performance. Everything — from neural networks to FFT to publication-quality SVG rendering — is implemented from scratch in pure standard C++.
Having NumPy parity in C++ sounds amazing, especially for compute-heavy work. One thing that would make this a daily driver for me is built-in support for sparse arrays and linear algebra, since dense tensors only get you so far once you're dealing with real-world data like graphs or recommendation systems.
@erolsaydanjrhn Linear algebra and sparse matrices are supported and very easy to use. Of course, in terms of performance, NumPy might be superior for certain algorithms (NumPy/SciPy/scikit-learn use pre-compiled C/Fortran libraries (like OpenBLAS, LAPACK) heavily optimized for specific hardware architectures with SIMD instructions (AVX/AVX512)), but they can be implemented better and faster in NumC (check the benchmarks).
Honestly didn't expect zero-dependency C++ to feel this clean. The fact that neural nets, FFT, and SVG rendering all live in pure standard C++ is kind of wild.
Having zero deps and doing FFT plus SVG rendering all in pure C++20 is genuinely impressive, really nice work.