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sigma-py/quadpy

:triangular_ruler: Numerical integration (quadrature, cubature) in Python

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Why it is useful

quadpy is a recent open-source project in Scientific Computing. It is included because it has recent repository activity and can support mathematical learning, research, modelling, software development, or AI workflows.

Repository at a glance

  • Owner: sigma-py
  • Primary language: Not specified
  • Latest update: 2026-10-09
  • Stars / forks: 786 / 91
  • License: Not specified
  • Links: No separate project site was listed.

Good starting points

  1. Read the project README and installation instructions.
  2. Try the smallest example before changing parameters or datasets.
  3. Check tests, issues, and release notes before relying on results in teaching or research.
  4. Cite the repository and its license when reusing code or figures.

README snapshot

p align="center" a href="https://github.com/sigma-py/quadpy"img alt="quadpy" src="https://raw.githubusercontent.com/sigma-py/quadpy/main/logo/logo-with-text.svg" width="60%"/a p align="center"Your one-stop shop for numerical integration in Python./p /p More than 1500 numerical integration schemes for line segments, circles, disks, triangles, [quadrilaterals]