v1.0 of the BAND Framework will be released in 2026.

We anticipate that at least the following packages will be part of v1.0

• Bfrescox: A Python wrapper for the Frescox coupled reaction channel code.
• jitr: A Python package containing a Lagrange mesh R-matrix solver for parametric reaction model calibration.
• LCGP: A Gaussian process surrogate model for emulating stochastic simulation outputs.
• parMOO: A Python library for parallel multiobjective simulation optimization.
• PUQ: A Python package for generating experimental designs tailored for uncertainty quantification and featuring parallel implementations.
• pybmc: A Python package for performing Bayesian model combination on various predictive models.
• rose: A reduced-order scattering emulator.
• SmoothEmulator: A simplex sampler, emulator trainer, and MCMC explorer that employs a smooth emulator.
• surmise: A surrogate model interface for calibration, uncertainty quantification, and sensitivity analysis.
• Taweret: A Python package containing multiple Bayesian Model Mixing methods.

The v1.0 use will also include notebooks demonstrating the integrated use of these packages and examples of principled Bayesian analyses in nuclear physics.

Known issues

• If one installs all BAND packages in a particular order (and in a single virtual environment, etc.), there may be an incompatibility with the Eigen dependency; fixes are being explored.