Open source alternative to google's Auto ML Auto ML receives raw(ish) data and generates a supervised learning model from it. That is, it automates feature engineering and model selection/tuning. 

What open source alternatives currently exist that when given raw data and told which variable to target, and will produce an ML model autonomously?
AutoSklearn, AutoViML, TPOT, H2O are good choices. They can do feature engineering, but I would suggest to build your own feature based on domain knowledge.