Package Health Score

54 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Sustainable

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Popularity

Small

GitHub Stars: 138
Forks: 55
Contributors: 1

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pyfpgrowth, we found that it has been starred 138 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Apr 27, 2016
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

ISC

Security Policy

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Maintenance

Inactive

Commit Frequency

No Recent Commits

Open Issues: 17
Open PR: 8
Last Release: 9 years ago
Last Commit: 9 years ago

Further analysis of the maintenance status of pyfpgrowth based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for pyfpgrowth is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 1
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like pyfpgrowth is missing a Code of Conduct.

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Package

Python Versions Compatibility: ==2.6.*, ==2.7.*, ==3.3.*, ==3.4.*, ==3.5.*

Age: 9 years
Latest Release: 9 years ago
Dependencies: N/A
Versions: 1
Maintainers: 0
Wheels: No

Readme

FP-Growth

A Python implementation of the Frequent Pattern Growth algorithm.

Free software: ISC license
Documentation: .

Getting Started

You can install the package with pip:

pip install pyfpgrowth

Then, to use it in a project, inport it and use the find_frequent_patterns and generate_association_rules functions:

import pyfpgrowth

It is assumed that your transactions are a sequence of sequences representing items in baskets. The item IDs are integers:

transactions = [[1, 2, 5],
                [2, 4],
                [2, 3],
                [1, 2, 4],
                [1, 3],
                [2, 3],
                [1, 3],
                [1, 2, 3, 5],
                [1, 2, 3]]

Use find_frequent_patterns to find patterns in baskets that occur over the support threshold:

patterns = pyfpgrowth.find_frequent_patterns(transactions, 2)

Use generate_association_rules to find patterns that are associated with another with a certain minimum probability:

rules = pyfpgrowth.generate_association_rules(patterns, 0.7)

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

1.0 (2016-04-25)

First release on PyPI.

FAQs

What is pyfpgrowth?

A Python implementation of the Frequent Pattern Growth algorithm. Visit Snyk Advisor to see a full health score report for pyfpgrowth, including popularity, security, maintenance & community analysis.

Is pyfpgrowth popular?

The python package pyfpgrowth receives a total of 1,985 weekly downloads. As such, pyfpgrowth popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is pyfpgrowth well maintained?

We found indications that pyfpgrowth is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is pyfpgrowth safe to use?

The python package pyfpgrowth was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 23 December-2024, at 03:02 (UTC).

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pyfpgrowth

A Python implementation of the Frequent Pattern Growth algorithm. For more information about how to use this package see README

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Package Health Score

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Package

Readme

FP-Growth

Getting Started

Credits

History

1.0 (2016-04-25)

FAQs

What is pyfpgrowth?

Is pyfpgrowth popular?

Is pyfpgrowth well maintained?

Is pyfpgrowth safe to use?

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Commit Frequency

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Readme

FP-Growth

Getting Started

Credits

History

1.0 (2016-04-25)

FAQs

What is pyfpgrowth?

Is pyfpgrowth popular?

Is pyfpgrowth well maintained?

Is pyfpgrowth safe to use?

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Source Code

Open Source

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Config

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