dartbrains-tools
Helper library and interactive anywidgets for the DartBrains fMRI course. Extracted from the book repo so the widgets and helpers can be installed standalone — including in molab and pyodide/WASM marimo notebooks.
Install
pip install dartbrains-tools
# Optional: include marimo for notebook_utils.youtube()
pip install "dartbrains-tools[notebook]"
Modules
dartbrains_tools.data.localizer— load the Pinel Localizer dataset from the Hugging Face Hub. The same API is re-exported atdartbrains_tools.datafor back-compat.dartbrains_tools.data.sherlock— load the Sherlock naturalistic-fMRI dataset (Chen et al. 2017).dartbrains_tools.data.paranoia— load the Paranoia naturalistic-fMRI dataset (Finn et al. 2018).dartbrains_tools.mr_simulations— Bloch equation solvers, signal generators, HRF, and Plotly visualization helpers.dartbrains_tools.mr_widgets— 10 anywidgets for interactive MR physics teaching (PrecessionWidget,SpinEnsembleWidget,KSpaceWidget,ConvolutionWidget,EncodingWidget,CompassWidget,NetMagnetizationWidget,TransformCubeWidget,CostFunctionWidget,SmoothingWidget).dartbrains_tools.notebook_utils— small marimo helpers (youtube).
Quick start
from dartbrains_tools.mr_widgets import PrecessionWidget
w = PrecessionWidget(b0=3.0, flip_angle=90.0)
w # Interactive 3D Three.js animation in any anywidget host.
# Localizer (default; back-compat — also works as dartbrains_tools.data.localizer)
from dartbrains_tools.data import get_subjects, get_file, load_events
subjects = get_subjects()
bold = get_file("S01", scope="derivatives", suffix="bold")
events = load_events("S01")
# Sherlock
from dartbrains_tools.data import sherlock
bold = sherlock.get_file("sub-01", task="sherlockPart1", suffix="bold")
onsets = sherlock.load_onsets("watch")
# Paranoia
from dartbrains_tools.data import paranoia
bold = paranoia.get_file("sub-tb2994", run=1, suffix="bold")
participants = paranoia.load_participants()
Development
git clone https://github.com/ljchang/dartbrains-tools
cd dartbrains-tools
uv sync
uv run pytest
uv build
License
MIT. The parent course materials at dartbrains remain CC-BY-SA-4.0; this companion library is permissive so it can be reused in any downstream project.
1 maintainer
Metadata
1 maintainer
Release files for dartbrains-tools 0.2.8
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