Package Health Score

59 / 100

security
No known security issues
popularity
Limited
maintenance
Sustainable
community
Limited

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Popularity

Limited

GitHub Stars: 43
Forks: 17
Contributors: 8

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package wam2layers, we found that it has been starred 43 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jun 21, 2024
Direct Vulnerabilities: 0
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0
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0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 34
Open PR: 4
Last Release: 6 months ago
Last Commit: 10 days ago

Further analysis of the maintenance status of wam2layers based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that wam2layers 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

Limited

Readme: Yes
Contributing.md: No
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 wam2layers is missing a Code of Conduct.

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Package

Python Versions Compatibility: <3.13,>=3.9

Age: 2 years
Latest Release: 6 months ago
Dependencies: 15 Direct
Versions: 7
Maintainers: 0
Wheels: OS Independent

Readme

Atmospheric moisture tracking

https://user-images.githubusercontent.com/17080502/233834536-a82ca96d-e303-4592-a588-472097ebe6c5.mp4

This repository contains the source code of the WAM2layers moisture tracking code. It can be used to determine where precipitation originally evaporated (backtracking), or where evaporated moisture eventually ends up (forward tracking).

The animation above illustrates the concept of backtracking: you first see the water content and fluxes move forward in time (left panel). Midway through, the animation reverses and the moisture from the "source region" is tracked backward in time (right panel).

This code is currently developed by a core team: Ruud van der Ent (Delft University of Technology) Imme Benedict (Wageningen University) Chris Weijenborg (Wageningen University) Peter Kalverla (Netherlands eScienceCenter) Bart Schilperoort (Netherlands eScience Center)

We are proudly part of open-sustainable-technology.

How to use

See the documentation for a more detailed description. Are you relatively new to setting up Python environments, command line interfaces etc.? Try this video

Still questions? Follow the flowchart below. FlowChart GitHub

Other versions

This is the official codebase for the WAM-2layers moisture tracking model as of 18/03/2022, but there are still several other (older) versions around:

Reuse and acknowledgement

We are actively developing the code at the moment, so it may be subject to change. We aim for backward compatability from v3.0.0 onward. We encourage anyone who is interested in re-using the code to get in touch on the discussion pages. We may be able to help and you may be able to help us getting rid off bugs.

If you use the code for a publication, please cite it using the DOI of the appropriate release and the following paper: Contrasting roles of interception and transpiration in the hydrological cycle - Part 2: Moisture recycling

wam2layers dependencies

click cmocean dask distributed matplotlib netcdf4 numpy pandas psutil pydantic pyyaml regionmask scipy threddsclient xarray

FAQs

What is wam2layers?

Atmospheric moisture tracking model. Visit Snyk Advisor to see a full health score report for wam2layers, including popularity, security, maintenance & community analysis.

Is wam2layers popular?

The python package wam2layers receives a total of 58 weekly downloads. As such, wam2layers popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is wam2layers well maintained?

We found indications that wam2layers maintenance is sustainable demonstrating some project activity. We saw a total of 8 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is wam2layers safe to use?

The python package wam2layers 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 20 December-2024, at 12:02 (UTC).

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