Quadrature rules
The online encylopedia of quadrature rules is a reference website that lists quadrature rules on a range of domains.
Quadrature rules are sets of points and weights that are used to approximate integrals. If ${p_0,\dots,p_{n-1}}\subset\mathbb{R}^d$ and ${w_0,\dots,w_{n-1}}\subset\mathbb{R}$ are the points and weights (repectively) of the quadrature rule for a single integral, then:
$$\int f(x),\mathrm{d}x \approx \sum_{i=0}^{n-1}f(p_i)w_i$$
Website
Before building the online encylopedia of quadrature rules, you must first install qrtools from the python directory:
cd python
python3 -m pip install .
The online encylopedia of quadrature rules website can then be built by running:
cd website
python3 build.py
Libraries
All of the quadrature rules included in the online encylopedia of quadrature rules are included in the quadraturerules library, which is available in the following languages:
| Language | Badges |
|---|---|
| C |  |
| C++ |  |
| Fortran |  |
| FORTRAN 77 |  |
| Julia |  |
| Python |   |
| Rust |    |
Before building any of the libraries, you must first install qrtools from the python directory:
cd python
python3 -m pip install .
You can then build the libraries using the build.py script in the library directory. For example, to build the python library, you can run:
cd library
python build.py python
and to build the rust library, you can run:
cd library
python build.py rust
Python library
The quadraturerules Python library is available on PyPI. It can be installed by running:
python -m pip install quadraturerules
Usage
The library's function single_integral_quadrature can be used to get the points and weights
of quadrature rules for a single integral. For example the following snippet will create an
order 3 Xiao--Gimbutas rule on a triangle:
from quadraturerules import Domain, QuadratureRule, single_integral_quadrature
points, weights = single_integral_quadrature(
QuadratureRule.XiaoGimbutas,
Domain.Triangle,
3,
)
Note that the points returned by the library are represented using barycentric coordinates.
Generating the library
The Python quadraturerules library can be generated from the templates in the online encyclopedia of quadrature rules GitHub repo. First clone the repo and move into the library directory:
git clone https://github.com/quadraturerules/quadraturerules.git
cd quadraturerules/library
The Python library can then be generated by running:
python build.py python
This will create a directory called python.build containing the Python source code.
Tests can then be run by moving into this folder and using pytest:
cd python.build
python -m pytest test/
1 maintainer
Metadata
1 maintainer
Release files for quadraturerules 0.12.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| quadraturerules-0.12.0.tar.gz | 1.2 MB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| quadraturerules-0.12.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.4 MB
Release files / quadraturerules-0.12.0.tar.gz
| Download URL | quadraturerules-0.12.0.tar.gz |
|---|---|
| Size | 1.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
57ad9fe6c9499947a72f46e2471e2ce508386e8d297a0c9dd1cf7aa7dcec917e
|
|
BLAKE2b-256 checksum How to use checksums |
0888a0919dd1ad5e8716e75812f6da3086dee62cfde022720f15f1b1751ce99f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 29, 2026.
Transparency logRelease files / quadraturerules-0.12.0-py3-none-any.whl
| Download URL | quadraturerules-0.12.0-py3-none-any.whl |
|---|---|
| Size | 1.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7bd97b48f1d20fa9a7cca444d5a45e15054948ced6d8f65e17a49fff64a33bfa
|
|
BLAKE2b-256 checksum How to use checksums |
e8fcf5dfd530947f336792c547f82631e10b2d301880b7ee266688311046ea78
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 29, 2026.
Transparency logSecurity for quadraturerules 0.12.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for quadraturerules-0.12.0.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 29, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
