Earlier quoted context omitted.
Maybe we need a better way to explain what we do. After reading through the comments and getting a better picture of what we're providing, does Orchest still not speak to you? Would love to learn more, as we're particularly keen on understanding how to communicate in the clearest way.
Disclaimer: I've recently at my company built and released a product that has a displayed DAG on screen and allows people to build ML pipelines in addition to the existing data prep and blend capability. My company is profitable and the ML product is doing well. We also have the ability to have jupyter notebooks execute in-line with the DAG. The comments on here are reflective of the fact that selling products like y…
We really like the idea of empowering the domain experts to leverage data by upskilling them to Python. It's a much better tool than i.e. Excel, which tends to dominate many corporate environments still today.
However, we'll also make sure Orchest plays well with the tools software engineers already use (such as git for versioning, framework/library integration, and Bring Your Own Editor support).