lmcats: Advanced Matrix Optimization Library

Key Features

1. Multi-Algorithm Benchmarking

Compare CATS against Genetic Algorithms, Random Search, and Nearest Neighbor:

comparison_results = compare_algorithms(
    objective_function=your_cost_function,
    products=your_products,
)

License
- OSI Approved :: MIT License
Operating System
- OS Independent
Programming Language
- Python :: 3

Metadata

License
- OSI Approved :: MIT License
Operating System
- OS Independent
Programming Language
- Python :: 3

Release files for lmcats 0.2.0

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Source distribution (sdist)

Source distribution for lmcats 0.2.0
File	Size	Uploaded	Provenance	Actions
lmcats-0.2.0.tar.gz	1.7 kB	Dec 27, 2025	Without provenance	Details for lmcats-0.2.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for lmcats 0.2.0
File	Interpreter	ABI	Platform	Actions Reset
lmcats-0.2.0-py3-none-any.whl 1.8 kB Dec 27, 2025 Without provenance	Python 3	none	any	Details for lmcats-0.2.0-py3-none-any.whl

Total release size: 3.5 kB

Release files / lmcats-0.2.0.tar.gz

Download URL	lmcats-0.2.0.tar.gz
Size	1.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`51319d56237bd8355da0c25ac1f6dbbd6af2dd393f96a6005008b6ccafca712a`
BLAKE2b-256 checksum How to use checksums	`4831d000d1a92c4bc68f4dfb9d38ac0c3eb3151e9bd8c08bb69c4a84b90ccb18`
Upload date	Dec 27, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.9.0`

Release files / lmcats-0.2.0-py3-none-any.whl

Download URL	lmcats-0.2.0-py3-none-any.whl
Size	1.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`7b01ae0f335d6ec7c5113d029f336df21c464b3a8e70fd931f549bfa27585467`
BLAKE2b-256 checksum How to use checksums	`3bae51c57d1213d4145919de401b548f40dc251b15fc993d9f90118b162319a7`
Upload date	Dec 27, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.9.0`

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This release

0.2.0 This release

Dec 27, 2025 2 release files No provenance

lmcats 0.2.0