Package Health Score

52 / 100

security
No known security issues
popularity
Limited
maintenance
Inactive
community
Sustainable

Popularity

Limited

GitHub Stars: 302
Forks: 49
Contributors: 8

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package climate-learn, we found that it has been starred 302 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jul 6, 2023
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

Inactive

Commit Frequency

No Recent Commits

Open Issues: 6
Open PR: 0
Last Release: 1 year ago
Last Commit: 1 year ago

Further analysis of the maintenance status of climate-learn 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 climate-learn 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

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 8
Funding: No

This project has seen only 10 or less contributors.

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

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Package

Python Versions Compatibility: >=3.8

Age: 2 years
Latest Release: 1 year ago
Dependencies: 12 Direct
Versions: 3
Maintainers: 1
Wheels: OS Independent

Readme

ClimateLearn

ClimateLearn is a Python library for accessing state-of-the-art climate data and machine learning models in a standardized, straightforward way. This library provides access to multiple datasets, a zoo of baseline approaches, and a suite of metrics and visualizations for large-scale benchmarking of statistical downscaling and temporal forecasting methods. For further context on our past motivation and future plans, check out our announcement blog post.

Usage

Python 3.8+ is required. The xESMF package has to be installed separately since one of its dependencies, ESMpy, is available only through Conda.

conda install -c conda-forge xesmf
pip install climate-learn

Quickstart

We have a quickstart notebook in the notebooks folder titled Quickstart.ipynb. It is intended for use in Google Colab and can be launched by clicking the Google Colab badge above or this link: https://colab.research.google.com/drive/1LcecQLgLtwaHOwbvJAxw9UjCxfM0RMrX?usp=sharing.

We also previewed some key features of ClimateLearn at a spotlight tutorial in the "Tackling Climate Change with Machine Learning" Workshop at the Neural Information Processing Systems 2022 Conference. The slides and recorded talk can be found on Climate Change AI's website.

Documentation

Find us on ReadTheDocs.

About Us

ClimateLearn is managed by the Machine Intelligence Group at UCLA, headed by Professor Aditya Grover.

Contributing

Contributions are welcome! See our contributing guide.

Citing ClimateLearn

If you use ClimateLearn, please see the CITATION.cff file or use the citation prompt provided by GitHub in the sidebar.

climate-learn dependencies

cdsapi dask importlib-metadata matplotlib netcdf4 pytorch-lightning rasterio scikit-learn tensorboard timm wandb xarray

FAQs

What is climate-learn?

ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling. Visit Snyk Advisor to see a full health score report for climate-learn, including popularity, security, maintenance & community analysis.

Is climate-learn popular?

The python package climate-learn receives a total of 95 weekly downloads. As such, climate-learn popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is climate-learn well maintained?

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

Is climate-learn safe to use?

The python package climate-learn 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 30 September-2024, at 12:35 (UTC).

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climate-learn

ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling For more information about how to use this package see README

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Package Health Score

Popularity

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

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Package

Readme

ClimateLearn

Usage

Quickstart

Documentation

About Us

Contributing

Citing ClimateLearn

climate-learn dependencies

FAQs

What is climate-learn?

Is climate-learn popular?

Is climate-learn well maintained?

Is climate-learn 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

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Readme

ClimateLearn

Usage

Quickstart

Documentation

About Us

Contributing

Citing ClimateLearn

climate-learn dependencies

FAQs

What is climate-learn?

Is climate-learn popular?

Is climate-learn well maintained?

Is climate-learn safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

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