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This release is a pre-release and may not be stable for production use.

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NLTools

Python toolbox for analyzing neuroimaging data, with a focus on multivariate analyses. It grew out of Tor Wager's object-oriented Matlab CANlab core tools and builds on nilearn and scikit-learn. Requires Python 3.11+.

Documentation

Documentation and tutorials are available at https://nltools.org

Installation

With uv (recommended, for use in a project):

uv add nltools

Or with pip:

pip install nltools

Development

uv manages the whole workflow — it creates the virtual environment, installs core and development dependencies, and installs nltools into it in editable mode.

git clone https://github.com/cosanlab/nltools
cd nltools
uv sync

Common tasks (run via poe, all prefixed with uv run):

Command What it does
uv run poe lint Fix, format, and type-check (ruff + ty)
uv run poe test Run the fast test suite in parallel
uv run pytest -k test_name Run a specific test
uv run poe docs-serve Live-preview the docs site at localhost:8000 (executes tutorials via the cache)
uv run poe docs-build Full docs build (API reference + executed tutorials)
uv run poe tutorials Run every tutorial notebook end-to-end
uv build Build the package locally
uv add/remove [--dev] pkg Add or remove a (dev) dependency

Metadata

Release files for nltools 0.6.0.dev4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nltools 0.6.0.dev4
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nltools-0.6.0.dev4.tar.gz 492.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for nltools 0.6.0.dev4
File Interpreter ABI Platform
nltools-0.6.0.dev4-py3-none-any.whl Python 3 none any Details

Total release size: 943.9 kB

Release files / nltools-0.6.0.dev4.tar.gz

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Release files / nltools-0.6.0.dev4-py3-none-any.whl

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