Package Health Score

60 / 100

security
No known security issues
popularity
Limited
maintenance
Inactive
community
Active

Popularity

Limited

GitHub Stars: 228
Forks: 82
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package xgcm, we found that it has been starred 228 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 22, 2022
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

Open Issues: 99
Open PR: 19
Last Release: 2 years ago
Last Commit: 22 days ago

Further analysis of the maintenance status of xgcm 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 xgcm 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

Active

Readme: Yes
Contributing.md: No
Code of Conduct: Yes
Contributors: 30
Funding: No

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

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Package

Python Versions Compatibility: >=3.9

Age: 7 years
Latest Release: 2 years ago
Dependencies: 4 Direct
Versions: 19
Maintainers: 2
Wheels: OS Independent

Not sure how to use xgcm?

To help you get started, we've collected the most common ways that xgcm is being used within popular public projects.

xgcm / xgcm / xgcm / _version.py View on Github

def get_versions():
    """Get version information or return default if unable to do so."""
    # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
    # __file__, we can work backwards from there to the root. Some
    # py2exe/bbfreeze/non-CPython implementations don't do __file__, in which
    # case we can only use expanded keywords.

    cfg = get_config()
    verbose = cfg.verbose

    try:
        return git_versions_from_keywords(get_keywords(), cfg.tag_prefix, verbose)
    except NotThisMethod:
        pass

    try:
        root = os.path.realpath(__file__)
        # versionfile_source is the relative path from the top of the source
        # tree (where the .git directory might live) to this file. Invert
        # this to find the root from __file__.
        for i in cfg.versionfile_source.split("/"):
            root = os.path.dirname(root)
    except NameError:
        return {
            "version": "0+unknown",
            "full-revisionid": None,
            "dirty": None,
            "error": "unable to find root of source tree",
            "date": None,

View more ways to use xgcm

xgcm: General Circulation Model Postprocessing with xarray

Binder Examples

Link	Provider	Description
	mybinder.org	Basic self-contained example
	Pangeo Binder	More complex examples integrated with other Pangeo tools (dask, zarr, etc.)

Description

xgcm is a python package for working with the datasets produced by numerical General Circulation Models (GCMs) and similar gridded datasets that are amenable to finite volume analysis. In these datasets, different variables are located at different positions with respect to a volume or area element (e.g. cell center, cell face, etc.) xgcm solves the problem of how to interpolate and difference these variables from one position to another.

xgcm consumes and produces xarray data structures, which are coordinate and metadata-rich representations of multidimensional array data. xarray is ideal for analyzing GCM data in many ways, providing convenient indexing and grouping, coordinate-aware data transformations, and (via dask) parallel, out-of-core array computation. On top of this, xgcm adds an understanding of the finite volume Arakawa Grids commonly used in ocean and atmospheric models and differential and integral operators suited to these grids.

xgcm was motivated by the rapid growth in the numerical resolution of ocean, atmosphere, and climate models. While highly parallel supercomputers can now easily generate tera- and petascale datasets, common post-processing workflows struggle with these volumes. Furthermore, we believe that a flexible, evolving, open-source, python-based framework for GCM analysis will enhance the productivity of the field as a whole, accelerating the rate of discovery in climate science. xgcm is part of the Pangeo initiative.

Getting Started

To learn how to install and use xgcm for your dataset, visit the xgcm documentation.

xgcm dependencies

dask future numpy xarray

FAQs

What is xgcm?

General Circulation Model Postprocessing with xarray. Visit Snyk Advisor to see a full health score report for xgcm, including popularity, security, maintenance & community analysis.

Is xgcm popular?

The python package xgcm receives a total of 528 weekly downloads. As such, xgcm popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is xgcm well maintained?

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

Is xgcm safe to use?

The python package xgcm 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 22 November-2024, at 03:01 (UTC).

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xgcm

General Circulation Model Postprocessing with xarray For more information about how to use this package see README

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Not sure how to use xgcm?

xgcm: General Circulation Model Postprocessing with xarray

Binder Examples

Description

Getting Started

xgcm dependencies

FAQs

What is xgcm?

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Is xgcm safe to use?

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Not sure how to use xgcm?

xgcm: General Circulation Model Postprocessing with xarray

Binder Examples

Description

Getting Started

xgcm dependencies

FAQs

What is xgcm?

Is xgcm popular?

Is xgcm well maintained?

Is xgcm safe to use?

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Source Code

Open Source

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