Why, yes, actually!

DEAP is not a full data reduction package and does not try to compete with projects such as PyRAF. It is true that DEAP does include some data reduction features, such as statistics and fitting, but these are really more of a convenience than anything else. Most data reduction you would do "in DEAP" is really by means of the integrated Python command line, through which you can access other numerical packages.

That said, most existing data reduction packages are command line driven (PyRAF is just one example), and even though they may supply commands to display a plot, they generally lack a mechanism for interactive data exploration and manipulation. DEAP seeks to complement such packages by providing interactive, graphical data display and editing in an easy-to-integrate, modular form.

It is true that there are many other plotting packages available, each with their own strengths and weaknesses. Some, for example, are very good at producing high-quality scientific graphics, but can be weak in the area of user interactivity. Many others provide good support for interactive data display and exploration, but don't produce publication quality plots. We are not aware of any other easily integrable tools that provide good support for interactive data editing.

DEAP strives to provide very good data editing tools and good data exploration tools (there are better...) while still producing publishable scientific plots. And it does all this with a highly modular package that easily integrates with or interoperates with other scientific data reduction tools.

The process of getting from raw scientific data to publishable science.