Scop

Scop is an opinionated, self-contained data format and post-optimization toolchain. Currently, it's aimed towards use with OpenMDAO.

If you can identify with one of multiple of these statements, you might be interested in Scop:

• You do multi-objective heuristic optimization and just want to see the feasible and non-dominated subset of all your designs.
• You want to do efficient manipulations and calculations across multiple designs and not only look at single designs in isolation.
• You don't necessarily want to persist all data to disk all the time.
• You think that xarray Datasets or Pandas DataFrames have more swag than SQLite blobs.

How do I get it?

You use Conda, and run the following in your environment:

conda install ovidner::openmdao-scop

How do I use it?

Until I write some decent documentation, let me know what you want to do, and I'll try to see if Scop can help you.

What's up with the name?

It's just a word, because...

• I'm tired of cheesy acronyms.
• Just using a word gives me a greater freedom to pivot the project without necessarily changing its name.

If Scop were to be an acronym, it could stand for Self-Contained Optimization Pile-of-data.