Package Health Score

94 / 100

security
No known security issues
popularity
Key ecosystem project
maintenance
Healthy
community
Active

Popularity

Key ecosystem project

GitHub Stars: 1.91K
Forks: 446
Contributors: 50

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package PyWavelets, we found that it has been starred 1,911 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Apr 1, 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

Healthy

Commit Frequency

Open Issues: 60
Open PR: 7
Last Release: 15 days ago
Last Commit: 7 days ago

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

We found that PyWavelets demonstrates a positive version release cadence with at least one new version released in the past 3 months.

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: No
Contributors: 50
Funding: Yes

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

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Package

Python Versions Compatibility: >=3.9

Age: 18 years
Latest Release: 15 days ago
Dependencies: 0 Direct
Versions: 23
Maintainers: 6
Wheels: Linux, macOS, Musllinux, Windows

Readme

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PyWavelets

What is PyWavelets

PyWavelets is a free Open Source library for wavelet transforms in Python. Wavelets are mathematical basis functions that are localized in both time and frequency. Wavelet transforms are time-frequency transforms employing wavelets. They are similar to Fourier transforms, the difference being that Fourier transforms are localized only in frequency instead of in time and frequency.

The main features of PyWavelets are:

> - 1D, 2D and nD Forward and Inverse Discrete Wavelet Transform (DWT > and IDWT) > - 1D, 2D and nD Multilevel DWT and IDWT > - 1D and 2D Stationary Wavelet Transform (Undecimated Wavelet > Transform) > - 1D and 2D Wavelet Packet decomposition and reconstruction > - 1D Continuous Wavelet Transform > - Computing Approximations of wavelet and scaling functions > - Over 100 built-in wavelet filters > and support for custom wavelets > - Single and double precision calculations > - Real and complex calculations > - Results compatible with Matlab Wavelet Toolbox (TM)

Documentation

Documentation with detailed examples and links to more resources is available online at .

For more usage examples see the demo directory in the source package.

Installation

PyWavelets supports Python >=3.9, and is only dependent on NumPy (supported versions are currently >= 1.14.6). To pass all of the tests, Matplotlib is also required. SciPy is also an optional dependency. When present, FFT-based continuous wavelet transforms will use FFTs from SciPy rather than NumPy.

There are binary wheels for Intel Linux, Windows and macOS / OSX on PyPi. If you are on one of these platforms, you should get a binary (precompiled) installation with:

pip install PyWavelets

Users of the Anaconda Python distribution may wish to obtain pre-built Windows, Intel Linux or macOS / OSX binaries from the conda-forge channel. This can be done via:

conda install -c conda-forge pywavelets

Several Linux distributions have their own packages for PyWavelets, but these tend to be moderately out of date. Query your Linux package manager tool for python-pywavelets, python-wavelets, python-pywt or a similar package name.

If you want or need to install from source, you will need a working C compiler (any common one will work) and a recent version of Cython. Navigate to the PyWavelets source code directory (containing pyproject.toml) and type:

pip install .

The most recent development version can be found on GitHub at .

The latest release, including source and binary packages for Intel Linux, macOS and Windows, is available for download from the Python Package Index. You can find source releases at the Releases Page.

State of development & Contributing

PyWavelets started in 2006 as an academic project for a master thesis on Analysis and Classification of Medical Signals using Wavelet Transforms and was maintained until 2012 by its original developer. In 2013 maintenance was taken over in a new repo) by a larger development team - a move supported by the original developer. The repo move doesn't mean that this is a fork - the package continues to be developed under the name "PyWavelets", and released on PyPi and Github (see this issue for the discussion where that was decided).

All contributions including bug reports, bug fixes, new feature implementations and documentation improvements are welcome. Moreover, developers with an interest in PyWavelets are very welcome to join the development team!

As of 2019, PyWavelets development is supported in part by Tidelift. Help support PyWavelets with the Tidelift Subscription

Contact

Use GitHub Issues or the mailing list to post your comments or questions.

Report a security vulnerability:

License

PyWavelets is a free Open Source software released under the MIT license.

If you wish to cite PyWavelets in a publication, please use the following JOSS publication.

Specific releases can also be cited via Zenodo. The DOI below will correspond to the most recent release. DOIs for past versions can be found by following the link in the badge below to Zenodo:

FAQs

What is PyWavelets?

PyWavelets, wavelet transform module. Visit Snyk Advisor to see a full health score report for PyWavelets, including popularity, security, maintenance & community analysis.

Is PyWavelets popular?

The python package PyWavelets receives a total of 3,610,678 weekly downloads. As such, PyWavelets popularity was classified as a key ecosystem project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is PyWavelets well maintained?

We found that PyWavelets demonstrated a healthy version release cadence and project activity. It has a community of 50 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is PyWavelets safe to use?

The python package PyWavelets 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 16 April-2024, at 01:17 (UTC).

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PyWavelets

PyWavelets, wavelet transform module For more information about how to use this package see README

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Readme

PyWavelets

What is PyWavelets

Documentation

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Is PyWavelets well maintained?

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Readme

PyWavelets

What is PyWavelets

Documentation

Installation

State of development & Contributing

Contact

License

FAQs

What is PyWavelets?

Is PyWavelets popular?

Is PyWavelets well maintained?

Is PyWavelets safe to use?

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