dpilger26/NumCpp
C++ implementation of the Python Numpy library observed · 2026-08-28
Health v2 · maintenance only
74/100
- Activity 72
- Release rhythm 63
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 75.0
- age_days: 3129
- days_rel: 169
- days_push: 169
- n_releases_24m: 7
Adoption not part of the score
3962 stars · 577 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
NumCpp is a templatized, header-only C++ library that reimplements the Python NumPy API, centered on an NdArray container with NumPy-style mathematical functions. It supports C++17 through C++23 and requires Boost 1.73+.
Use cases
- port numpy code to c++
- n-dimensional array math in c++
- linear algebra and matrix operations in c++
- scientific computing without python
- numpy-style api for c++ projects
- numerical analysis in c++
When to choose
- you want NumPy-like array math in a C++ codebase
- you need a header-only dependency with no build step
- you're porting Python numerical code to C++
When to avoid
- you need GPU acceleration or distributed arrays
- you need tensors beyond 2D plus DataCube convenience
- you're already in Python and can just use NumPy
Facets
library · maturity active
math data-science machine-learning data-science developer-tools cpp cross-platform windows numpy header-only ndarray numerical-computing scientific-computing linear-algebra algorithms linux macos
2 sources
- readme: https://github.com/dpilger26/NumCpp · fetched 2026-08-28 · 9d96f4f2032b
- homepage: https://dpilger26.github.io/NumCpp · fetched 2026-08-29 · f727afb1b13b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| dpilger26/NumCpp | main | 74 |
For agents
markdown · JSON · MCP: product_card(name="dpilger26/NumCpp")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem