Package Health Score

66 / 100

security
No known security issues
popularity
Limited
maintenance
Healthy
community
Limited

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Popularity

Limited

GitHub Stars: 7
Forks: 0
Contributors: 3

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package smmregrid, we found that it has been starred 7 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 11, 2024
Direct Vulnerabilities: 0
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0
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0
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0
L
Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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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

Healthy

Commit Frequency

Open Issues: 10
Open PR: 1
Last Release: 25 days ago
Last Commit: 25 days ago

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

We found that smmregrid 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

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 3
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.8

Age: 1 year
Latest Release: 25 days ago
Dependencies: 9 Direct
Versions: 7
Maintainers: 1
Wheels: OS Independent

Readme

smmregrid

A compact regridder using sparse matrix multiplication

This repository represents a modification of the regridding routines in climtas by Scott Wales, which already implements efficiently this idea and has no other significant dependencies. The regridder uses efficiently sparse matrix multiplication with dask + some manipulation of the coordinates.

Please note that this tool is not thought as "another interpolation tool", but rather a method to apply pre-computed weights (with CDO, which is currently tested) within the python environment. The speedup is estimated to be about ~1.5 to ~5 times, slightly lower if then files are written to the disk. 2D and 3D data are supported on all the grids supported by CDO, both xarray.Dataset and xarray.DataArray can be used. Masks are treated in a simple way but are correctly transfered. Attributes are kept.

The tool works for python versions >=3.8. It is safer to run it through conda/mamba. Install with:

mamba env create -f environment.yml

then activate the environment:

mamba activate smmregrid

and install smmregrid in editable mode:

pip install -e .

Alternatively - if you have in your environment/machine the required dependencies, mostly CDO - you can install smmregrid directly via pypi with:

pip install smmregrid

Cautionary notes:

It does not work correctly if the Xarray.Dataset includes fields with time-varying missing points
It works only with interpolation methods/grids supported by CDO
It does not support ESMF weigths.

smmregrid dependencies

cdo cfgrib cfunits dask netcdf4 numba numpy sparse xarray

FAQs

What is smmregrid?

Regridding based on sparse matrix multiplication. Visit Snyk Advisor to see a full health score report for smmregrid, including popularity, security, maintenance & community analysis.

Is smmregrid popular?

The python package smmregrid receives a total of 252 weekly downloads. As such, smmregrid popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is smmregrid well maintained?

We found that smmregrid demonstrated a healthy version release cadence and project activity. It has a community of 3 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is smmregrid safe to use?

The python package smmregrid 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 25 October-2024, at 10:11 (UTC).

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smmregrid

Regridding based on sparse matrix multiplication For more information about how to use this package see README

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Readme

smmregrid

smmregrid dependencies

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Readme

smmregrid

smmregrid dependencies

FAQs

What is smmregrid?

Is smmregrid popular?

Is smmregrid well maintained?

Is smmregrid safe to use?

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