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Installation

Python​

Prerequisites:

  • Python 3.8+ with pip

To install, run this command:

pip install pathling

R​

Prerequisites:

  • R >= 3.5.0 (tested with 4.3.1)

To install, run these commands:

# Install the `pathling` package.
install.packages('pathling')

# Install the Spark version required by Pathling.
pathling::pathling_install_spark()

Scala​

To add the Pathling library to your project, add the following to your SBT configuration:

libraryDependencies += "au.csiro.pathling" % "library-runtime" % "[version]"

Java​

To add the Pathling library to your project, add the following to your pom.xml:


<dependency>
    <groupId>au.csiro.pathling</groupId>
    <artifactId>library-runtime</artifactId>
    <version>[version]</version>
</dependency>

Java Virtual Machine​

All variants of the Pathling library require version 17 of a Java Virtual Machine (JVM) to be installed. We recommend using Azul OpenJDK, you can download installers for all major operating systems at the Azul OpenJDK website.

Ensure that the JAVA_HOME environment variable is set to the location of the installation of Java 17.