Pre-release
This release is a pre-release and may not be stable for production use.
Bossanova
Unified mixed-effects modeling in Python. JAX + NumPy backends. R/lme4 parity.
Installation
uv add bossanova
or
pip install bossanova
Features
- One unified entry point —
model()handles linear, generalized, and mixed-effects models - R-style formulas —
y ~ x + (1|group),factor(),center(),scale() - Multiple inference strategies — asymptotic, bootstrap, permutation, cross-validation
- Marginal effects —
.explore()for estimated marginal means, slopes, and contrasts - JAX acceleration — automatic acceleration when JAX is available, NumPy fallback
- R parity — matches lme4/emmeans within f64 tolerance
Quick Example
from bossanova import model, load_dataset
df = load_dataset("sleepstudy")
# Fit a mixed model
m = model("Reaction ~ Days + (1 + Days | Subject)", data=df).fit()
m.params
# Perform bootstrapped parameter inference
m.infer(how='boot')
# Explore marginal effects
m.explore("Days")
m.effects
Development
# Install dependencies
pixi install
# Install the IPython kernel (required for notebooks)
pixi run setup-kernel
# Run the full lint + type-check chain
pixi run lint
# Run fast unit tests
pixi run test
1 maintainer
Metadata
1 maintainer
Release files for bossanova 0.1.0.dev27
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Source distribution (sdist)
| File | Size | Uploaded | |
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| bossanova-0.1.0.dev27.tar.gz | 620.0 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bossanova-0.1.0.dev27-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.4 MB
Release files / bossanova-0.1.0.dev27.tar.gz
| Download URL | bossanova-0.1.0.dev27.tar.gz |
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| Size | 620.0 kB |
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Release files / bossanova-0.1.0.dev27-py3-none-any.whl
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| Size | 766.3 kB |
| Tags | Python 3 |
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