Package Health Score

79 / 100

security
No known security issues
popularity
Small
maintenance
Sustainable
community
Active

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Popularity

Small

GitHub Stars: 22.71K
Forks: 2.01K
Contributors: 280

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package geoarray, we found that it has been starred 22,712 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Aug 26, 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

Sustainable

Commit Frequency

Open Issues: 215
Open PR: 37
Last Release: 4 months ago
Last Commit: 6 months ago

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

We found that geoarray 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

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 280
Funding: No

A good and healthy external contribution signal for geoarray project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: >=3.8

Age: 7 years
Latest Release: 4 months ago
Dependencies: 6 Direct
Versions: 131
Maintainers: 0
Wheels: No

Readme

geoarray

Fast Python interface for geodata - either on disk or in memory.

The geoarray package facilitates reading and writing of all GDAL compatible image file formats and provides functions for geospatial processing.

Free software: Apache 2.0
Documentation:

Status

See also the latest coverage report and the pytest HTML report.

Features and usage

There is an example notebook that shows how to use geoarray: here.

Installation

Using Anaconda or Miniconda (recommended)

Using conda (latest version recommended), geoarray is installed as follows:

Create virtual environment for geoarray (optional but recommended):

$ conda create -c conda-forge --name geoarray python=3
$ conda activate geoarray

Then install geoarray itself:

$ conda install -c conda-forge geoarray

This is the preferred method to install geoarray, as it always installs the most recent stable release and automatically resolves all the dependencies.

Using pip (not recommended)

There is also a pip installer for geoarray. However, please note that geoarray depends on some open source packages that may cause problems when installed with pip. Therefore, we strongly recommend to resolve the following dependencies before the pip installer is run:

> - cartopy >=0.20 > - gdal >=3.8.0 > - geopandas > - holoviews # optional, in case you want to use interactive > plotting > - matplotlib > - numpy > - pandas > - pyproj >2.2.0 > - scikit-image > - shapely

Then, the pip installer can be run by:

> bash > $ pip install geoarray >

If you don't have pip installed, this Python installation guide can guide you through the process.

History / Changelog

You can find the protocol of recent changes in the geoarray package here.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

geoarray dependencies

dill matplotlib numpy pandas scikit-image shapely

FAQs

What is geoarray?

Fast Python interface for geodata - either on disk or in memory. Visit Snyk Advisor to see a full health score report for geoarray, including popularity, security, maintenance & community analysis.

Is geoarray popular?

The python package geoarray receives a total of 697 weekly downloads. As such, geoarray popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is geoarray well maintained?

We found indications that geoarray maintenance is sustainable demonstrating some project activity. We saw a total of 280 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is geoarray safe to use?

The python package geoarray 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 12 December-2024, at 02:06 (UTC).

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geoarray

Fast Python interface for geodata - either on disk or in memory For more information about how to use this package see README

Ensure you're using the healthiest python packages

Package Health Score

Explore Similar Packages

Popularity

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

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Package

Readme

geoarray

Status

Features and usage

Installation

Using Anaconda or Miniconda (recommended)

Using pip (not recommended)

History / Changelog

Credits

geoarray dependencies

FAQs

What is geoarray?

Is geoarray popular?

Is geoarray well maintained?

Is geoarray safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Explore Similar Packages

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Readme

geoarray

Status

Features and usage

Installation

Using Anaconda or Miniconda (recommended)

Using pip (not recommended)

History / Changelog

Credits

geoarray dependencies

FAQs

What is geoarray?

Is geoarray popular?

Is geoarray well maintained?

Is geoarray safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues