PyPI Stats
  • Insights
  • PyPI
  • GitHub
  • Search
  • Compare
  • Advisories
  • Ecosystem
  • About
Home

Search Packages

Find Python packages by name, description, GitHub topic, or filter by metrics
udayLab
pami

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

13K 285 230
biolab
orange3-associate

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

7K 68 36
cair
pytsetlinmachine

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

1K 152 33
chonyy
apriori-python

🔨 Python implementation of Apriori algorithm, new and simple!

890 68 37
biolab
bluewhale3-associate

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

633 68 36
udayRage
rasterminer

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

623 285 230
mhahsler
arulespy

Python interface to arules for association rule mining

418 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.

378 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.

290 11 0
biolab
orange3-associate-zh

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

180 68 36
biolab
blauwal3-associate

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

136 68 36
    • Data from PyPI, GitHub, ClickHouse, and BigQuery