Package Health Score

69 / 100

security
No known security issues
popularity
Small
maintenance
Sustainable
community
Sustainable

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Popularity

Small

GitHub Stars: 125
Forks: 55
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package tadasets, we found that it has been starred 125 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Mar 17, 2024
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

MIT

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 6
Open PR: 3
Last Release: 8 months ago
Last Commit: 4 months ago

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

We found that tadasets demonstrates a positive version release cadence with at least one new version released in the past 12 months.

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: No
Code of Conduct: Yes
Contributors: 20
Funding: No

With more than 10 contributors for the tadasets repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: Unspecified

Age: 6 years
Latest Release: 8 months ago
Dependencies: 2 Direct
Versions: 5
Maintainers: 3
Wheels: OS Independent

Readme

PyPI - Downloads

This package provides some nice utilities for creating and loading data sets that are useful for Topological Data Analysis. Currently, we provide various synthetic data sets with particular topological features.

Setup

Installation is as easy as

pip install tadasets

Usage

The shape constructors are exposed in a functional interface, each returning a numpy array containing data sampled on the object. Available objects include

torus
d-sphere
swiss roll
infinity sign
eyeglasses

Each shape can be embedded in arbitrary ambient dimension by supplying the ambient argument. Additionally, noise can be added to the shape through the noise argument.

import tadasets

torus = tadasets.torus(n=2000, c=2, a=1, ambient=200, noise=0.2)
swiss_roll = tadasets.swiss_roll(n=2000, r=4, ambient=10, noise=1.2)
dsphere = tadasets.dsphere(n=1000, d=12, r=3.14, ambient=14, noise=0.14)
infty_sign = tadasets.infty_sign(n=3000, noise=0.1)
eyeglasses = tadasets.eyeglasses(n=1000, r1=1, r2=2, neck_size=.5, noise=0.1, ambient=10)

Contributions

We welcome contributions of all shapes and sizes. There are lots of opportunities for potential projects, so please get in touch if you would like to help out. Everything from an implementation of your favorite distance, notebooks, examples, and documentation are all equally valuable so please don’t feel you can’t contribute.

If you have ideas for new shapes or features, please do suggest them in an issue and submit a pull request!

To contribute please fork the project make your changes and submit a pull request. We will do our best to work through any issues with you and get your code merged into the main branch.

tadasets dependencies

matplotlib numpy

FAQs

What is tadasets?

Great data sets for Topological Data Analysis. Visit Snyk Advisor to see a full health score report for tadasets, including popularity, security, maintenance & community analysis.

Is tadasets popular?

The python package tadasets receives a total of 1,476 weekly downloads. As such, tadasets popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is tadasets well maintained?

We found indications that tadasets maintenance is sustainable demonstrating some project activity. We saw a total of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is tadasets safe to use?

The python package tadasets 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 12 November-2024, at 15:09 (UTC).

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tadasets

Great data sets for Topological Data Analysis. For more information about how to use this package see README

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Readme

Setup

Usage

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tadasets dependencies

FAQs

What is tadasets?

Is tadasets popular?

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Is tadasets safe to use?

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Package Health Score

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Commit Frequency

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Readme

Setup

Usage

Contributions

tadasets dependencies

FAQs

What is tadasets?

Is tadasets popular?

Is tadasets well maintained?

Is tadasets safe to use?

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Source Code

Open Source

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