In addition to HappyTools, there are other available open source python packages to analyse chromatographic and spectroscopic data. A cross-platform python package named Aston can be used to process both UV-Vis and mass spectrometry chromatographic data. The open-source library is written using Python, Numpy, and Scipy is openly hosted in an online repository . Similarly, for processing chromatographic data from GC-FID, HPLC-UV, or HPLC-FD packages also available open source. Embedding these codes into HTE and ML workflow dramatically improves the efficiency and speed of the optimization processes significantly. Liu et al., developed a custom-built Python script to study the kinetics of carbonyldiimidazole (CDI) mediated amide formation by analysing data from an online HPLC and inline FT-IR spectroscopic measurements. Their algorithm was able to automatically detect peaks from chromatographic spectra and to automatically assign the peaks as reagents or products depending if the peak intensity decreased or increased respectively over time. In addition to monitoring the evolution of the reaction, the IR spectral data was processed in real-time to ensure the complete consumption of acid reactant and feedback to the pump for immediate quenching of CDI to prevent any side reactions. The entire process allows to control the acid activation and amide formation precisely to afford the desired final product in quantitative yield.