spright

library25.6.3pypypiunverified

Bayesian radius-density-mass relation for small planets, using a hierarchical Bayesian model to infer interior composition from observed mass and radius. Current version 25.6.3, released monthly.

ai-ml data

pip install spright

github ↗package ↗homepage ↗

INSTALL

IMPORT

SIG · SPRIGHT

spright

ai-mlpythonv25.6.3

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

SPRight

✓ from spright import SPRight

Quickstart: initialize SPRight, then call predict with mass and radius in Earth units to obtain posterior samples.

from spright import SPRight # Initialize the model model = SPRight() # Evaluate the posterior for a given radius and mass (Earth units) radius = 1.5 # R_earth mass = 3.0 # M_earth # Get posterior samples of core mass fraction and water mass fraction samples = model.predict(mass, radius) print(samples)

Debug

Known issues

breakingSPRight no longer supports direct instantiation with a config dictionary; use the default constructor.

fix

Remove config argument; set parameters via environment variables or the new SPRightConfig object if needed.

affects: >=25.0.0

deprecatedThe function 'spright.mcmc' has been deprecated in favor of the class-based API.

fix

Replace calls to spright.mcmc with SPRight().predict().

affects: >=24.5.0

gotchaMass and radius must be in Earth units (M_earth, R_earth); using SI units will produce incorrect results.

fix

Convert masses and radii to Earth units before calling predict.

affects: all

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Version history

25.6.3latest on PyPI · released Jun 3, 2025

Audit

Dependencies

No dependency data recorded yet.

Agent activity

11 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/hpparvi/spright ↗

packagehttps://pypi.org/project/spright/ ↗

homepagehttps://spright.readthedocs.io ↗