TLDR
NuCS is a Python library for solving Constraint Satisfaction and Optimization Problems. Because it is 100% written in Python, NuCS is easy to install and allows to model complex problems in a few lines of code. The NuCS solver is also very fast because it is powered by Numpy and Numba.
Installation
pip install nucs
Documentation
Check out NuCS documentation.
See CHANGELOG.md for what changed between releases, including the 15.0.0, 16.0.0 and 17.0.0 migration notes.
With NuCS, in a few seconds you can ...
Find all 14200 solutions to the 12-queens problem
NUMBA_CACHE_DIR=.numba/cache python -m nucs.examples.queens -n 12
Compute the 92 solutions to the BIBD(8,14,7,4,3) problem
NUMBA_CACHE_DIR=.numba/cache python -m nucs.examples.bibd -v 8 -b 14 -r 7 -k 4 -l 3
Demonstrate that the optimal 10-marks Golomb ruler length is 55
NUMBA_CACHE_DIR=.numba/cache python -m nucs.examples.golomb -n 10
1 maintainer
Metadata
1 maintainer
Release files for NuCS 19.0.0
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 | Actions |
|---|---|---|---|---|
| nucs-19.0.0.tar.gz | 190.8 kB | With provenance | Details for nucs-19.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| nucs-19.0.0-py3-none-any.whl | Python 3 | none | any | Details for nucs-19.0.0-py3-none-any.whl |
Total release size: 517.3 kB
Release files / nucs-19.0.0.tar.gz
| Download URL | nucs-19.0.0.tar.gz |
|---|---|
| Size | 190.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
dac60e1f389b4c409679a5c733083c96523af06419d1c4b03285ac7c4281fbdd
|
|
BLAKE2b-256 checksum How to use checksums |
cd389ea0b4a6f9c3cce0810af0f45cf0e84eb6d601f4cffe628505cc5aefc6ae
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
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 Oct 25, 2026.
Transparency logRelease files / nucs-19.0.0-py3-none-any.whl
| Download URL | nucs-19.0.0-py3-none-any.whl |
|---|---|
| Size | 326.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
07575cecc813856f8720df57f5a6e21c3a30f26503aefebf7f3f9a7b268bcbd9
|
|
BLAKE2b-256 checksum How to use checksums |
68a918098fda15e32e4b20c96f9ebfa850c99335d1f1340e4b92999e7bddee08
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
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 Oct 25, 2026.
Transparency logSecurity for NuCS 19.0.0
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 nucs-19.0.0.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 Oct 25, 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.
