Get started¶

Add Scikit-longitudinal to an existing UV-managed project:

uv add scikit-longitudinal

Extras work the same way:

uv add "scikit-longitudinal[parallelisation]"
uv add "scikit-longitudinal[dev]"

You can also pin a specific version if desired:

uv add "scikit-longitudinal==0.1.8"

After adding, run uv sync to materialise the lockfile.

Install the latest release from PyPI:

pip install scikit-longitudinal

Extras are available for specialised needs:

pip install "scikit-longitudinal[parallelisation]" # Ray-based parallel workloads
pip install "scikit-longitudinal[dev]" # Docs, testing, linting

You can also pin a specific version if desired:

pip install scikit-longitudinal==0.1.8

To install Scikit-longitudinal using Conda, follow these steps:

1. Open your terminal or Anaconda Prompt.
2. Create a new Conda environment with Python 3.10:

conda create --name sklong -c conda-forge python=3.10

1. Activate the environment:

conda activate sklong

1. Install Scikit-longitudinal:

pip install scikit-longitudinal

You can also pin a specific version if desired:

pip install scikit-longitudinal==0.1.8

This installs Scikit-longitudinal in your newly created Conda environment.

Launch Jupyter Lab with Sklong in a temporary environment managed by UV:

uv run --with scikit_longitudinal jupyter lab

This uses your default Python (3.10 to 3.13). To pin a specific Python, pass --python <path_or_version>.

1. Open a new Colab notebook (Python 3.10–3.13).
2. Remove the preinstalled stock scikit-learn (Sklong relies on the scikit-lexicographical-trees fork which ships its own sklearn package):

!pip uninstall scikit-learn -y

1. Install Sklong (this pulls in scikit-lexicographical-trees automatically):

!pip install scikit-longitudinal

If you are setting up Sklong inside a project, ensure your dependency manager prefers scikit-lexicographical-trees instead of scikit-learn and declare scikit-longitudinal in your project metadata.

Project setup with PDM

Add the dependency and exclude scikit-learn in pyproject.toml:

[project]
dependencies = [
    "scikit-longitudinal",
]

[tool.pdm.resolution]
excludes = ["scikit-learn"]

Install dependencies:

pdm install

Project setup with UV

Declare the dependency and override the incompatible wheel:

[project]
dependencies = [
    "scikit-longitudinal",
]

[tool.uv]
package = true
override-dependencies = [
    "scikit-learn ; sys_platform == 'never'",
]

Then sync your environment:

uv sync --all-groups