ARCOS DOCS
  • ARCOS
  • Algorithm Overview
    • Event Detection and Tracking
    • Data Requirements
    • Preprocessing
  • Installation
    • Avalilable Implementations
      • R package "ARCOS"
      • Python Package "arcos4py"
      • Napari Plugin "arcos-gui"
  • Example Use Cases
    • Detecting Collective signalling events in epithelial Cells
    • Analysing Collective Phenomena in Honeybees
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  1. Installation
  2. Avalilable Implementations

Python Package "arcos4py"

PreviousR package "ARCOS"NextNapari Plugin "arcos-gui"

Last updated 2 years ago

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Installation instructions:

To install from pip, run this command in your terminal:

pip install arcos4py

Installing from conda-forge can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, arcos4py can be installed with the conda package manager:

conda install arcos4py

Pip and conda-forge are the preferred methods to install arcos4py, as it will always install the most recent stable release.

The source for arcos4py can be downloaded from the .

You can either clone the public repository:

git clone https://github.com/bgraedel/arcos4py

Or download the :

curl -OJL https://github.com/bgraedel/arcos4py/tarball/master

Package Specific Documentation and usage instructions:

Github repository:

Github repo
tarball
arcos4py
GitHub - bgraedel/arcos4py: Python port of the ARCOS R package to detect and analyse collective phenomenaGitHub
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