IGRINS pipeline package is currently in active development. There are two versions for now. Once the version 2 becomes mature, version one may be deprecated.
This is the original pipeline that has developed by Prof. Soojong Pak's team at Kyung Hee University (KHU).
The pipeline is described in the following publication.
More information about this version can be found from the link below.
While the original pipeline by KHU's team works to some extent, there are things that need to be fixed/improved/extended. A new version of pipeline (version 2) is being actively developed by the pipeline team at KASI (led by Dr. Jae-Joon Lee) in close collaboration with KHU's team.
The new pipeline is designed to produce decent quality of processed data of all the observing data without (or minimum) human interaction. It was also designed to be adaptable for a real time processing during the observing run.
The key concept of this pipeline is having a "recipe" to process a certain data group. These approach is utilized by many other observatories/instruments. In most cases, the recipe needs to be set and recorded in the header (or log) when the observation is executed. Unfortunately, this is not properly done. Therefore, to run the pipeline, you should have an input file describing which recipe should be used to which data sets.
The page below briefly describes how to run the pipeline version 2.