Hi, thanks for your feedback. hmm any machine learning project has to start with a dataset. Most of the time you will have to construct it (or take an existing one and update it) manually. Sure there are tool that generate a dummy dataset for you but that would be just for playing a world and certainly not for a real world use/production.

We are actually working on adding support for text, excel and json format in igel.

We already implemented some of the famous preprocessing methods in igel, which you can use by providing them in the yaml file.

Now about preprocessing libraries, I personally use numpy, pandas and some of sklearn functionality to preprocess data. Furthermore, I use matplotlib and seaborn for some visualisation & further analysis.