View argopy on Snyk Open Source Advisor

Package Health Score

74 / 100

security
Security review needed
popularity
Limited
maintenance
Healthy
community
Active

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Popularity

Limited

GitHub Stars: 186
Forks: 41
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package argopy, we found that it has been starred 186 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Oct 16, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
2
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

EUPL-1.2

Security Policy

We found a way for you to contribute to the project! Looks like argopy is missing a security policy.

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Maintenance

Healthy

Commit Frequency

Open Issues: 20
Open PR: 6
Last Release: 2 months ago
Last Commit: 1 month ago

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

We found that argopy demonstrates a positive version release cadence with at least one new version released in the past 3 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 20
Funding: No

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

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Package

Python Versions Compatibility: ==3.10.*, ==3.11.*

Age: 5 years
Latest Release: 2 months ago
Dependencies: 0 Direct
Versions: 20
Maintainers: 2
Wheels: OS Independent

Readme

`argopy` is a python library dedicated to Argo data access, visualisation and manipulation for regular users as well as Argo experts and operators

Documentation

The official documentation is hosted on ReadTheDocs.org: https://argopy.readthedocs.io

Install

Binary installers for the latest released version are available at the Python Package Index (PyPI) and on Conda.

# conda
conda install -c conda-forge argopy

# or PyPI
pip install argopy

argopy is continuously tested to work under most OS (Linux, Mac, Windows) and with python versions >= 3.8

Usage

# Import the main data fetcher:
from argopy import DataFetcher

# Define what you want to fetch... 
# a region:
ArgoSet = DataFetcher().region([-85,-45,10.,20.,0,10.])
# floats:
ArgoSet = DataFetcher().float([6902746, 6902747, 6902757, 6902766])
# or specific profiles:
ArgoSet = DataFetcher().profile(6902746, 34)

# then fetch and get data as xarray datasets:
ds = ArgoSet.load().data
# or
ds = ArgoSet.to_xarray()

# you can even plot some information:
ArgoSet.plot('trajectory')

They are many more usages and fine-tuning to allow you to access and manipulate Argo data:

filters at fetch time (standard vs expert users, automatically select QC flags or data mode, ...)
select data sources (erddap, ftp, local, argovis, ...)
manipulate data (points, profiles, interpolations, binning, ...)
visualisation (trajectories, topography, histograms, ...)
tools for Quality Control (OWC, figures, ...)
access meta-data and other Argo-related datasets (index, reference tables, deployment plans, topography, ...)
improve performances (caching, parallel data fetching)

Just check out the documentation for more !

🌿 Energy impact of argopy development

The argopy team is concerned about the environmental impact of your favorite software development. Starting June 1st 2024, we're experimenting with the Green Metrics Tools from Green Coding to get an estimate of the energy used and CO2eq emitted by our development activities on Github infrastructure. Results:

Activity	Green Coding tool
All	Dashboard
CI tests running on each commit
Upstream CI tests, running daily

Development and contributions

See our development roadmap here: https://github.com/euroargodev/argopy/milestone/3

Checkout the contribution page if you want to get involved and help maintain or develop argopy.

FAQs

What is argopy?

A python library for Argo data beginners and experts. Visit Snyk Advisor to see a full health score report for argopy, including popularity, security, maintenance & community analysis.

Is argopy popular?

The python package argopy receives a total of 306 weekly downloads. As such, argopy popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is argopy well maintained?

We found that argopy demonstrated a healthy version release cadence and project activity. It has a community of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is argopy safe to use?

While scanning the latest version of argopy, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 22 November-2024, at 23:44 (UTC).

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argopy

A python library for Argo data beginners and experts For more information about how to use this package see README

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Package

Readme

Documentation

Install

Usage

🌿 Energy impact of argopy development

Development and contributions

FAQs

What is argopy?

Is argopy popular?

Is argopy well maintained?

Is argopy safe to use?

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Package Health Score

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Direct Usage Popularity

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Commit Frequency

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Readme

Documentation

Install

Usage

🌿 Energy impact of argopy development

Development and contributions

FAQs

What is argopy?

Is argopy popular?

Is argopy well maintained?

Is argopy safe to use?

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Source Code

Open Source

Container

Config

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