scitools-iris

v3.11.0

A powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data For more information about how to use this package see README

Latest version published 12 days ago

License: BSD-3-Clause

PyPI

GitHub

Package Health Score

87 / 100

security
No known security issues
popularity
Recognized
maintenance
Healthy
community
Active

Popularity

Recognized

GitHub Stars: 634
Forks: 283
Contributors: 100

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package scitools-iris, we found that it has been starred 634 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 11, 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
0
M
0
L

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

License

BSD-3-Clause

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 199
Open PR: 24
Last Release: 12 days ago
Last Commit: 19 days ago

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

We found that scitools-iris 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

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 100
Funding: No

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

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Package

Python Versions Compatibility: >=3.10

Age: 7 years
Latest Release: 12 days ago
Dependencies: 4 Direct
Versions: 38
Maintainers: 10
Wheels: OS Independent

Readme

Iris is a powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data


⚙️ CI
💬 Community
📖 Documentation
📈 Health
✨ Meta
📦 Package
🧰 Repo

For documentation see the latest developer version or the most recent released stable version.

#ShowYourStripes

Graphics and Lead Scientist: Ed Hawkins, National Centre for Atmospheric Science, University of Reading.

Data: Berkeley Earth, NOAA, UK Met Office, MeteoSwiss, DWD, SMHI, UoR, Meteo France & ZAMG.

#ShowYourStripes is distributed under a Creative Commons Attribution 4.0 International License

scitools-iris dependencies

netcdf4 pyproj scipy xxhash

FAQs

What is scitools-iris?

A powerful, format-agnostic, community-driven Python package for analysing and visualising Earth science data. Visit Snyk Advisor to see a full health score report for scitools-iris, including popularity, security, maintenance & community analysis.

Is scitools-iris popular?

The python package scitools-iris receives a total of 2,097 weekly downloads. As such, scitools-iris popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is scitools-iris well maintained?

We found that scitools-iris demonstrated a healthy version release cadence and project activity. It has a community of 100 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is scitools-iris safe to use?

The python package scitools-iris 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 21:36 (UTC).

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