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.. image:: https://github.com/nucleic/kiwi/workflows/Continuous%20Integration/badge.svg :target: https://github.com/nucleic/kiwi/actions .. image:: https://github.com/nucleic/kiwi/workflows/Documentation%20building/badge.svg :target: https://github.com/nucleic/kiwi/actions .. image:: https://codecov.io/gh/nucleic/kiwi/branch/main/graph/badge.svg :target: https://codecov.io/gh/nucleic/kiwi .. image:: https://readthedocs.org/projects/kiwisolver/badge/?version=latest :target: https://kiwisolver.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
Kiwi is an efficient C++ implementation of the Cassowary constraint solving
algorithm. Kiwi is an implementation of the algorithm based on the
seminal Cassowary paper <https://constraints.cs.washington.edu/solvers/cassowary-tochi.pdf>
_.
It is not a refactoring of the original C++ solver. Kiwi has been designed
from the ground up to be lightweight and fast. Kiwi ranges from 10x to 500x
faster than the original Cassowary solver with typical use cases gaining a 40x
improvement. Memory savings are consistently > 5x.
In addition to the C++ solver, Kiwi ships with hand-rolled Python bindings for Python 3.7+.
FAQs
A fast implementation of the Cassowary constraint solver
We found that kiwisolver demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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