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0.4.0

PyPI

actinia-statistic-plugin

Actinia plugin for efficient statistic computing

Published25 Jun 2025

Direct dependencies1

Transitive dependenciesNot calculated

README

Version 0.4.0 documentation

Actinia Statistic Plugin

This actinia plugin is deigned for to compute raster map layer and raster-time-series statistics for categorical and continuous data. It provides endpoints to sample raster time series data.

NOTE:

Actinia is an open source REST API for scalable, distributed, high performance processing of geographical data that uses GRASS GIS for computational tasks.

The Actinia service consists of the Actinia Core that provides the basic but sophisticated processing service and Actinia plugins that provide problem specific services like Sentinel-2 and Landsat NDVI computation, spatio-temporal statistical analysis and many more.

Installation

The actinia plugin must be installed in the same environment as actinia core. Actinia core must be configured to load the installed plugin. When the plugin is loaded and all plugin endpoints are available in actinia. The interface description of actinia will be extended with the endpoints of the plugins.

git clone https://github.com/mundialis/actinia_statistic_plugin.git

cd actinia_statistic_plugin
pip3 install -r requirements.txt
python3 setup.py install

After installation set the plugin name in the actinia core configuration and restart the actinia core server.

Required GRASS GIS Addons

The statistic plugin needs the GRASS GIS addon t.rast.sample to be installed in actinia.

Testing locally

docker build -f docker/actinia-plugin-tests/Dockerfile -t actinia-plugin-test .
docker run -v </path/to/actinia_statistic_plugin/tests>:/src/actinia_statistic_plugin/tests -it actinia-plugin-test:latest -i

# run tests with
make test

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Declared dependencies 1

Native requirements

1 direct targetsNot calculated transitive count

Package / target	Requirement	Relationship
pytest Environment { "extras": "", "marker": "extra == \"test\"", "requires_python": ">=3.8", "evaluation": "NOT_EVALUATED" }	`pytest; extra == "test"`	runtime