We have no GUI programming in the broader sense, in our case nodes are simply run one after another (DAG).
Our tool is a web application and workflows can be triggered / executed via API, which allows for automatisation. Workflows can be nested and are tagged with a version tag making production runs reproducible. It is very much taylored to (simple) Data Science use cases with the goal to make the Python data science stack accessible for Business Experts (or power users), maybe collaborating with Data Scientists.
It is actively developed, and our industrial customers happily use it, however it is still in early development state.
We have no GUI programming in the broader sense, in our case nodes are simply run one after another (DAG).
Our tool is a web application and workflows can be triggered / executed via API, which allows for automatisation. Workflows can be nested and are tagged with a version tag making production runs reproducible. It is very much taylored to (simple) Data Science use cases with the goal to make the Python data science stack accessible for Business Experts (or power users), maybe collaborating with Data Scientists.
It is actively developed, and our industrial customers happily use it, however it is still in early development state.