ACBICI is a Python package designed for model calibration with robust uncertainty estimation. Key features include:

• Bayesian calibration for precise model tuning.
• Distribution estimation for the model parameters.
• Quantification of uncertainties from measurement errors and/or model discrepancies.
• Gaussian process surrogate models for accelerated calibration and prediction tasks.
• Integrated visualisation tools for insightful result analysis.

ACBICI includes test examples from various fields of application.