A Quora user asked about data science tools with a graphical user interface. Here’s my answer. I should mention though that I don’t usually use GUI for data science. Not that I think GUIs are bad, I simply couldn’t find a tool that works well for me.
Of the many tools that exist, I like the most Orange (https://orange.biolab.si/). Orange allows the user creating data pipelines for exploration, visualization, and production but also allows editing the “raw” python code. The combination of these features makes is a powerful and flexible tool.
The major drawback of Orange (in my opinion) is that is uses its own data format and its own set of models that are not 100% compatible with the Numpy/Pandas/Sklearn ecosystem.
I have made a modest contribution to Orange by adding a six-lines function that computes Matthews correlation coefficient.
Other tools are KNIME and Weka (none of them is natively Python).
There is also RapidMinder but I never used it.