Polarpy processes and analyzes data from the POLAR gamma-ray polarimeter, which records spectral and polarization measurements in ROOT format. The package includes utilities to convert raw POLAR data into HDF5 format suitable for use in analysis frameworks and workflows. It supports integration with the 3ML (ascl:2506.018) modeling environment for downstream analysis of spectral and polarization information. Polarpy’s conversion tools streamline handling of POLAR instrument outputs and facilitate preparation of data for scientific modeling. The repository includes example scripts and code to assist users in preparing and analyzing polarization-related datasets.

The Multi-Mission Maximum Likelihood framework (3ML) provides a common high-level interface and model definition for coherent and intuitive modeling of sources using all the available data, no matter their origin. Astrophysical sources are observed by different instruments at different wavelengths with an unprecedented quality, and each instrument and data type has its own ad-hoc software and handling procedure. 3ML's architecture is based on plug-ins; the package uses the official software of each instrument under the hood, thus guaranteeing that 3ML is always using the best possible methodology to deal with the data of each instrument. Though Maximum Likelihood is in the name for historical reasons, 3ML is an interface to several Bayesian inference algorithms such as MCMC and nested sampling as well as likelihood optimization algorithms.