Chaospy is a numerical toolbox designed for performing uncertainty quantification through polynomial chaos expansions and advanced Monte Carlo methods implemented in Python. It includes a comprehensive suite of tools for low-discrepancy sampling, quadrature creation, polynomial manipulations, and much more.
The philosophy behind chaospy is not to serve as a single solution for all uncertainty quantification challenges, but rather to provide specific tools that empower users to solve problems themselves. This approach accommodates well-established problems but also serves as a foundry for experimenting with new, emerging problems. Emphasis is placed on the following:
Focus on an easy-to-use interface that embraces the pythonic code style <https://docs.python-guide.org/writing/style/>.
Ensure the code is “composable,” meaning it’s designed so that users can easily and effectively modify parts of the code with their own solutions.
Strive to support a broad range of methods for uncertainty quantification where it makes sense to use chaospy.
Ensure that chaospy integrates well with a wide array of other projects, including numpy <https://numpy.org/>, scipy <https://scipy.org/>, scikit-learn <https://scikit-learn.org>, statsmodels <https://statsmodels.org/>, openturns <https://openturns.org/>, and gstools <https://geostat-framework.org/>, among others.
Contribute all code as open source to the community.
Installation
Installation is straightforward via pip:
pip install chaospy
Alternatively, if you prefer Conda:
conda install -c conda-forge chaospy
After installation, visit the documentation to learn how to use the toolbox.
Development
To install chaospy and its dependencies in developer mode:
pip install -e .[dev]
Testing
To run tests on your local system:
pytest --doctest-modules chaospy/ tests/ README.rst
Documentation
Ensure that pandoc is installed and available in your path to build the documentation.
From the docs/ directory, build the documentation locally using:
cd docs/
make html
Run make without arguments to view other build targets. The HTML documentation will be output to doc/.build/html.
Release files for chaospy 4.3.21
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| chaospy-4.3.21.tar.gz | 169.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| chaospy-4.3.21-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 423.8 kB
Release files / chaospy-4.3.21.tar.gz
| Download URL | chaospy-4.3.21.tar.gz |
|---|---|
| Size | 169.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a7ab9bd376c5e956a5f263d5b481a0a596e49954531698cc169f0711851d5ae3
|
|
BLAKE2b-256 checksum How to use checksums |
b3e2b0bc736b4a2060b4b78448cc9e081e695c51360e73822634246e75818340
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.23
|
Release files / chaospy-4.3.21-py3-none-any.whl
| Download URL | chaospy-4.3.21-py3-none-any.whl |
|---|---|
| Size | 254.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d68b7c54d316df7d9b6354489741043e8085a651696c227e785119b0ebaaf8a1
|
|
BLAKE2b-256 checksum How to use checksums |
b6857c5aaf5b00e8240fda374828c74ea5eb9e7819edb0472838625b026bcc70
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.23
|