Karabo

Karabo is a radio astronomy software distribution for validation and benchmarking of radio telescopes and algorithms. It can be used to simulate the behavior of the external page Square Kilometer Array or other supported telescopes. The goal of this software is to make installation and ramp-up easier for researchers and developers.

Karabo includes and relies on OSKAR, RASCIL, WSClean, PyBDSF, external page MIGHTEE, external page GLEAM, Aratmospy, Bluebild, Eidos, Dask, Tools21cm, and katbeam. It comes with predefined configurations of 20 well-known telescopes. Karabo can simulate instrument behavior and atmospheric effects, run imaging algorithms, and evaluate results.

GLEAM Sky Survey — A section of the GLEAM sky survey (phase center = 17h 00’, -80°) in the frequency range from 72 MHz to 100 MHz. The colours of the dots represent the flux in Jansky (logarithmic scale) of the sources in this frequency range.

dirty_image — Simulated dirty image of the GLEAM sky section at 80 MHz as it would be seen from SKA-Low. A simulated observation time of 4 hours was used.

cleaned_image — Karabo offers different image cleaners with minimal configuration needed. This image shows the same sky region but it was created using the WSClean algorithm (Offringa et al. (2014)).

Code Release and Documentation

The code is publicly available on external page GitHub. Documentation about the software can be found external page here.

In addition, we offer a demo installation on .

Publications

The Karabo pipeline is presented and discussed in the publication external page Sharma et al. (2026) If you use this code in a scientific publication, please acknowledge it by citing the paper.