Roadmap

Overview

The overall plan for the coming releases is to:

• Consolidate the existing generic functionality.

• Add missing generic functionality to provide a more complex toolbox.

• Weed out usability hurdles, to ensure the library’s interface is easy to use.

At this point we do not have a fixed release cycle. Instead we publish new releases when major feature additions or breaking changes have gone into Scipp.

Upcoming milestones

We are currently consolidating and simplifying Scipp’s core data structures. In particular:

• scipp.Dataset will be restricted to items of matching dimensionality (scipp.DataGroup can be used for other applications).

• Support for attributes will be removed from scipp.DataArray due to conceptual consistency issues.

Future direction and plans

We have a number of improvements in mind which we would like to consider and potentially introduce to Scipp. At this point we have not prioritized, scheduled, or funded any of these:

• dask support.

• Support for numpy’s array-function API, for better interoperability.

• Experiment with moving more high-level functionality from C++ to Python. Could we wrap NumPy (or similar) arrays, or is the performance penalty too high?

• Better support for structured dtypes and spatial dtypes.