Package Health Score

64 / 100

security
No known security issues
popularity
Limited
maintenance
Sustainable
community
Sustainable

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Popularity

Limited

GitHub Stars: 239
Forks: 47
Contributors: 5

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pyextremes, we found that it has been starred 239 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jul 30, 2024
Direct Vulnerabilities: 0
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0
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0
M
0
L
Indirect Vulnerabilities: 0
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0
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0
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0
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License Risk: 0
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0
M
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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: 1
Open PR: 0
Last Release: 4 months ago
Last Commit: 4 months ago

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

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

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 5
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: <4.0,>=3.9

Age: 5 years
Latest Release: 4 months ago
Dependencies: 0 Direct
Versions: 22
Maintainers: 1
Wheels: OS Independent

Readme

pyextremes

Extreme Value Analysis (EVA) in Python

About

Documentation: https://georgebv.github.io/pyextremes/

License: MIT

Support: ask a question or create an issue, any input is appreciated and would help develop the project

pyextremes is a Python library aimed at performing univariate Extreme Value Analysis (EVA). It provides tools necessary to perform a wide range of tasks required to perform EVA, such as:

extraction of extreme events from time series using methods such as Block Maxima (BM) or Peaks Over Threshold (POT)
fitting continuous distributions, such as GEVD, GPD, or user-specified continous distributions to the extracted extreme events
visualization of model inputs, results, and goodness-of-fit statistics
estimation of extreme events of given probability or return period (e.g. 100-year event) and of corresponding confidence intervals
tools assisting with model selection and tuning, such as selection of block size in BM and threshold in POT

Check out this repository with Jupyter notebooks used to produce figures for this readme and for the official documentation.

Installation

Get latest version from PyPI:

pip install pyextremes

Install with optional dependencies:

pip install pyextremes[full]

Get latest experimental build from GitHub:

pip install "git+https://github.com/georgebv/pyextremes.git#egg=pyextremes"

Get pyextremes for the Anaconda Python distribution:

conda install -c conda-forge pyextremes

Illustrations

Model diagnostic

Diagnostic plot

Extreme value extraction

Diagnostic plot

Trace plot

Diagnostic plot

Corner plot

Diagnostic plot

Acknowledgements

I wanted to give kudos to Jean Toilliez who has inspired me to develop this open-source project and who taught me a lot about the extreme value theory. Also big thanks to Max Larson who has introduced me to software development and statistics.

FAQs

What is pyextremes?

Extreme Value Analysis (EVA) in Python. Visit Snyk Advisor to see a full health score report for pyextremes, including popularity, security, maintenance & community analysis.

Is pyextremes popular?

The python package pyextremes receives a total of 663 weekly downloads. As such, pyextremes popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is pyextremes well maintained?

We found indications that pyextremes maintenance is sustainable demonstrating some project activity. We saw a total of 5 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is pyextremes safe to use?

The python package pyextremes 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 09:51 (UTC).

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pyextremes

Extreme Value Analysis (EVA) in Python For more information about how to use this package see README

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Package

Readme

About

Installation

Illustrations

Acknowledgements

FAQs

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Is pyextremes safe to use?

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Readme

About

Installation

Illustrations

Acknowledgements

FAQs

What is pyextremes?

Is pyextremes popular?

Is pyextremes well maintained?

Is pyextremes safe to use?

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Source Code

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