Installation instructions#

This guide will help you set up Tumult Analytics on your local machine.

Prerequisites#

Tumult Analytics is built in Python, so a Python installation is required to use it. It is compatible with Python 3.7 through 3.11 (Python 3.9 and above on Apple silicon). Because Tumult Analytics uses PySpark for computation, it also requires Java 8 or 11, or Java 17 if PySpark 3.4 or later is used.

Tumult Analytics supports the x86_64 processor architecture, as well as Apple silicon.

Below are instructions for installing these prerequisites on several common platforms. If none of these apply to you, install Python 3 and Java from your OS package manager or manually, then proceed with the pip installation. If you encounter any issues during the installation process, please let us know!

Linux (Debian-based)

Python and pip, Python’s package manager, are likely already installed. If they are not, install them with:

apt install python3.11 python3-pip

Java may already be installed as well. If it is not, install the Java Runtime Environment with:

apt install default-jre-headless

Linux (Red Hat-based)

Python and pip, Python’s package manager, may already be installed. On some releases, Python 2 may be installed by default, but not Python 3. To install Python 3, run:

yum install python3.11 python3-pip

To install Java, run:

yum install java-1.8.0-openjdk-headless

Note that despite the package name, this will install Java 8.

macOS

The below instructions assume the use of Homebrew for managing packages. If you do not already have Homebrew, it can be installed with:

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

Python may be installed with:

brew install python@3.11

And Java may be installed with:

brew install openjdk@11

For the system Java wrappers to find this JDK you may need to symlink it by following the instructions that homebrew provides upon installation. The command will look like the following, but will differ depending on you cpu architecture:

sudo ln -sfn /opt/homebrew/opt/openjdk@11/libexec/openjdk.jdk /Library/Java/JavaVirtualMachines/openjdk-11.jdk

If you have more than one Java version installed on your system, use Java 11 by setting JAVA_HOME to $(/usr/libexec/java_home -v11). This can be done by, for example, adding export JAVA_HOME=$(/usr/libexec/java_home -v11) to .bashrc and then restarting your shell.

Windows

The only supported way to install Tumult Analytics on Windows is using the Windows Subsystem for Linux (WSL). Once you have installed your preferred Linux distribution with WSL, follow the corresponding Linux installation instructions to get Tumult Analytics set up.

Installation#

Note

It is strongly recommended, though not required, to install Tumult Analytics in a virtual environment to minimize interactions with your system Python environment.

Once the above prerequisites are installed, Tumult Analytics can be installed using pip3 with:

pip3 install tmlt.analytics

This will automatically install all of its Python dependencies as well.

Optional: checking your installation#

Once you’ve installed Tumult Analytics, you can run this command to check that basic functionality works:

python3 -c "from tmlt.analytics.utils import check_installation; check_installation()"

If Tumult Analytics has been installed correctly, this command should finish successfully.