CARACal (Containerized Automated Radio Astronomy Calibration, formerly MeerKATHI) reduces radio-interferometric data. Developed originally as an end-to-end continuum- and line imaging pipeline for MeerKAT, it can also be used with other radio telescopes. CARACal reduces large data sets and produces high-dynamic-range continuum images and spectroscopic data cubes. The pipeline is platform-independent and delivers imaging quality metrics to efficiently assess the data quality.

Codex Africanus presents radio astronomy algorithms to the user as modular functions accepting NumPy inputs and producing NumPy outputs. Internally, it uses Numba to accelerate these codes and Dask to parallelize and distribute them. The library contains functions for plotting convolution filters and tapers associated with convolution filters and can compute the discretised direct Fourier transform (DFT) for an ideal interferometer. Codex Africanus has routines for gridding or degridding complex visibilities onto or from an image, includes deconvolution algorithms and coordinate transforms, and many other functions.

polkat is a semi-automated routine for dealing with polarimetric radio data taken with the MeerKAT telescope. The polkat workflow is based on another widely used MeerKAT calibration package, oxkat (ascl:2009.003), but shifts its focus towards automating full polarisation calibration and snapshot (i.e., second-scale) imaging. Accepting raw visibilities in Measurement Set format, polkat performs the necessary data editing, calibration (reference and self-calibration), and imaging to extract the complete polarisation properties for user-defined target sources. Using Apptainer/Singularity, we containerize the required software packages, including, but not limited to, CASA (ascl:1107.013), WSClean (ascl:1408.023), and QuartiCal (ascl:2305.006). Moreover, polkat can be run locally or on high-performance computing that uses a slurm job scheduler; for the latter option, polkat will generate the necessary job submission files.