Package Health Score

64 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Active

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Popularity

Small

GitHub Stars: 22.67K
Forks: 2K
Contributors: 280

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package smallerize, we found that it has been starred 22,669 times.

Security

No known security issues

Security and license risk for latest version

Release Date: May 8, 2019
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
1
M
0
L

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

License

BSD-3-Clause

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 214
Open PR: 37
Last Release: 6 years ago
Last Commit: 5 months ago

Further analysis of the maintenance status of smallerize 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 smallerize 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.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 280
Funding: No

A good and healthy external contribution signal for smallerize project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: ==3.6.*, ==3.7.*

Age: 6 years
Latest Release: 6 years ago
Dependencies: N/A
Versions: 5
Maintainers: 1
Wheels: OS Independent

Readme

smallerize

Coverage

A Python implementation of minimisation for clinical trials

Open source: Mozilla Public License 2.0
Documentation: .
Source: .

Features

Implements minimization as described in Pocock + Simon (1975): Sequential treatment assignment with balancing for prognostic factors in the controlled clinical trial
Tested using pytest to ensure the results match the original implementation.
Pure Python module with no dependencies (pandas is useful when conducting simulations but is optional)
Includes all functions described in the article: range, standard deviation, variance, etc.
Also implements the biased-coin minimization method described in Han et al. (2009): Randomization by minimization for unbalanced treatment allocation, to allow for unequal allocation ratios.
Allows pure random assignment for comparison
Simulation module to allow simulating the effects of different assignment schemes.

Example

Comparing minimization to purely random assignment by simulation:

See the example notebook for details of the simulation.

Credits

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

History

0.5.0 (2019-05-08)

Improved performance with large numbers of factors/factor levels by making the count table sparse.

0.4.0 (2019-02-02)

Switched to Mozilla Public License.

0.3.0 (2019-01-02)

Make it easier to check the valid total imbalance and probability methods.

0.2.0 (2018-10-22)

Add the biased coin minimization method to allow for unequal treatment allocations.

0.1.0 (2018-10-07)

First release on PyPI.

FAQs

What is smallerize?

A Python implementation of minimisation for clinical trials. Visit Snyk Advisor to see a full health score report for smallerize, including popularity, security, maintenance & community analysis.

Is smallerize popular?

The python package smallerize receives a total of 66 weekly downloads. As such, smallerize popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is smallerize well maintained?

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

Is smallerize safe to use?

The python package smallerize 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 November-2024, at 03:52 (UTC).

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smallerize

A Python implementation of minimisation for clinical trials For more information about how to use this package see README

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Package

Readme

smallerize

Features

Example

Credits

History

0.5.0 (2019-05-08)

0.4.0 (2019-02-02)

0.3.0 (2019-01-02)

0.2.0 (2018-10-22)

0.1.0 (2018-10-07)

FAQs

What is smallerize?

Is smallerize popular?

Is smallerize well maintained?

Is smallerize safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

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Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Readme

smallerize

Features

Example

Credits

History

0.5.0 (2019-05-08)

0.4.0 (2019-02-02)

0.3.0 (2019-01-02)

0.2.0 (2018-10-22)

0.1.0 (2018-10-07)

FAQs

What is smallerize?

Is smallerize popular?

Is smallerize well maintained?

Is smallerize safe to use?

Build a secure application checklist

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Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

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