What is it?

Building interactive, traceable, transparent, and efficient data analysis pipelines.

Quibbler is a toolset for building highly interactive, yet traceable, transparent and efficient data analysis pipelines. Quibbler allows using standard Python syntax to process data through any series of analysis steps, while automatically maintaining connectivity between downstream results and upstream raw sources. Quibbler facilitates and embraces human interventions as an inherent part of the analysis pipeline: input parameters, as well as exceptions and overrides, can be specified and adjusted either programmatically, through input files, or by interacting with “live” graphics, and all such interventions are automatically recorded in well-documented human-machine readable files. Changes to such parameters propagate downstream, pinpointing which specific steps and specific data array or even specific slices or elements thereof are affected, thereby vastly saving unnecessary recalculations. Quibbler, therefore, facilitates hands-on interactions with data in ways that are flexible and interactive, yet also efficient, traceable, well-documented, and reproducible.

Main Features

Here are a few of the things that Quibbler does:

• Easily build powerful GUI-like interaction with data, without a need for callbacks and listeners.

• Interactive specification of inputs and exceptions to default functionalities.

• Automatically maintain a record of user interventions and parameter specifications.

• Independently calculate, cache and validate/invalidate focal elements or slices of heavy-to-calculate arrays.

• Track a dependency graph between raw data and downstream results.

• Inherent undo/redo functionalities.

• All-of-the-above using standard functions and programming syntax - very little to learn to get started!