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LOFAR Initial Calibration Pipeline, previously known as prefactor

Image Domain Gridding (IDG) is a fast method for convolutional resampling (gridding/degridding) of radio astronomical data (visibilities). Direction-dependent effects (DDEs) or A-tems can be applied in the gridding process.

COBAlt; COrrelator and Beamformer Application for the LOFAR Telescope using CUDA and GPU technologies.

(Py)Tango station control software stack with station services orchestrated and deployed using Nomad and Consul.

ASTRA (Accelerated Signal-processing Toolkit for Radio Astronomy) is a library that hosts GPU-accelerated radio telescope correlator components

DP3: streaming processing pipeline for radio interferometric data

SDP to Uniboard translator

Rapthor: the LOFAR DDE Pipeline

LOFAR station statistics gather and dump utility, writes station statistics continuously to the local S3 based object storage.

Monitor and control components for the station and central operational systems.

Python backend and services for TMSS

CWL implementation of the LOFAR Pre-Processing Pipeline

New rendition of the Transients Pipeline. Original version: https://github.com/transientskp/tkp/tree/master