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Frequent Pattern Mining Python Packages

Python packages with the GitHub topic frequent-pattern-mining. Sorted by relevance, with stars and monthly downloads.
udayLab
pami

PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)

12K 289 240
biolab
orange3-associate

🍊 :package: Frequent itemsets and association rules mining for Orange 3.

6K 68 36
chonyy
apriori-python

πŸ”¨ Python implementation of Apriori algorithm, new and simple!

901 68 37
cair
pytsetlinmachine

Implements the Tsetlin Machine, Embedding Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, drop clause/literal, and literal budget.

848 153 33
biolab
bluewhale3-associate

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525 68 36
udayRage
rasterminer

This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

519 289 240
mhahsler
arulespy

Python interface to arules for association rule mining

438 11 1
cair
pytsetlinmachineparallel

Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.

366 43 10
fatihsen20
fimproject

"Frequent Mining Algorithms" is a Python library that includes frequent mining algorithms. This library contains popular algorithms used to discover frequent items and patterns in datasets. Frequent mining is widely used in various applications to uncover significant insights, such as market basket analysis, network traffic analysis, etc.

267 11 0
biolab
orange3-associate-zh

Orange add-on for mining frequent itemsets and association rules.

206 68 36
biolab
blauwal3-associate

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158 68 36
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