MeerFish implements a Fisher forecasting framework tailored to upcoming large-sky single-dish HI intensity mapping surveys such as those planned with the MeerKAT telescope and its successor within the SKAO project. The code models survey specifications and expected statistical uncertainties to compute Fisher matrices and forecast parameter constraints on cosmological observables derived from 21 cm intensity maps. It provides modules to define survey configurations, cosmological and nuisance parameters, and the associated signal and noise models needed for forecasting survey performance. MeerFish outputs predicted errors on power spectrum measurements and derived parameters, enabling quantitative assessment of survey design choices and scientific reach.

Karabo constructs and executes radio astronomy data processing and simulation workflows in interactive environments such as Jupyter Notebooks. The package facilitates development, validation, and benchmarking of radio telescope processing methods for projects such as the Square Kilometer Array. It integrates existing tools for interferometer simulation, imaging, and source detection, enabling users to build custom pipelines that simulate instrument behavior, generate synthetic visibilities, perform imaging, and evaluate results with readily available modules. The code supports simulation of general interferometer observations, configuration and visualization of telescope models, and scriptable workflows for tasks such as SRCNet data generation and line emission studies. Karabo includes utilities for parallel processing and data handling, and its extensible design allows combination of third-party libraries and user code to prototype and benchmark radio astronomy algorithms.