MLJAR is an automated machine learning platform. With mljar, you can train great machine learning models without coding. It works with binary classification and regression tasks. It can do hyperparameters tuning and model selection. The preprocessing to deal with missing values and categorical columns is available. All models trained in the service are by default deployed in the cloud and can be accessed be REST API or python or R APIs. User can also download a model and use it locally.
Right now it is offered as a SaaS. I'm working on the open source version. The AutoML engine is already open source https://github.com/mljar/mljar-supervised
I've compared mljar performance on binary classification tasks with auto-sklearn and H2O and it works very well https://github.com/mljar/automl_comparison
In the long term, I would like to connect machine learning with databases. User will be able to train machine learning models by writing a SQL query to database. After the best model is trained (with AutoML of course!), all new rows that will appear in the database will be used for computing predictions. But first I would like to create AutoML platform :)