Package: pyquibbler
Quibbler: your data - interactive!Interactive, reproducible and efficient data analyticsWithQuibbler, your data analysis is automatically live and interactive.https://user-images.githubusercontent.com/62783755/209929327-67766771-f271-40f0-8f3a-76deb88310b7.mp4What is it?Quibbleris a toolset for building highly interactive, yet reproducible,
transparent and efficient data analysis pipelines.Quibblerallows using standardPythonsyntax to process data through any series of analysis steps, while
automatically maintaining connectivity between downstream results and upstream raw data
sources.Quibblerfacilitates 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, 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 data items, or
even specific elements thereof, are affected, thereby vastly saving unnecessary
recalculations.Quibbler, therefore, facilitates hands-on interactions with data
in ways that are not only flexible, fun and interactive, but also traceable,
reproducible, and computationally efficient.Main FeaturesInteractivityCreatinginteractive graphicsis as
simple as calling standard Matplotlib graphics functions with arguments that represent your parameter values.Any data presented graphically is automatically live and interactive
(no need for the tedious programming of callback functions).Traceability and ReproducibilityTrace which specific data items and analysis parameters affect focal downstream results (seedependency graph).Inherentundo/redofunctionality.Save/loadparameter values as
human-readable records (either as external text files,
orinside Jupyter notebook).Computational efficiencyUpon parameter changes,Quibblerpinpoints and only recalculates the specifically affected array elements
of downstream analysis steps (here).Very little to learn: your standard-syntax code automatically comes to life.To get started with Quibbler, you do not need to learn any new syntax or new functions. Just encapsulate your
input parameters withiquiband your analysis and graphics automatically become live and interactive.Quibbler supports standard coding syntax with all Python operators, slicing, getitem, Numpy functions,
Matplotlib graphics functions, Matplotlib widgets, and ipywidgets. It further provides an easy way to incorporate
any user functions or functions from any other non-graphics packages (here).
Support for other graphics packages, besides Matplotlib, will be offered in future releases.Minimal appfrompyquibblerimportinitialize_quibbler,iquibinitialize_quibbler()importmatplotlib.pyplotaspltx=iquib(0.5)y=1-xplt.plot([0,1],[1,0],'-')plt.plot([0,x,x],[y,y,0],'--',marker='D')plt.title(x,fontsize=20)Documentation and ExamplesFor complete documentation and a getting-started tour, seereadthedocs.For simple demos and small apps, see ourExamples.InstallationWe recommend installingQuibblerin a new virtual environment
(seecreating a new environment).To install run:pip install pyquibblerIf you are using Quibbler withinJupyter lab, you can also add thepyquibbler Jupyter Lab extension:pip install pyquibbler_labextensionDevelopmentTo install for developers,
see our guidehere.CreditQuibbler was created by Roy Kishony, initially implemented as a Matlab toolbox.The first release of Quibbler for Python,pyquibbler, was developed at theKishony lab,Technion - Israel Institute of Technology,
by Maor Kern, Maor Kleinberger and Roy Kishony.We very much welcome any thoughts, suggestions and ideas and of course welcome PR contributions
(for some proposed directions, see our pendingissues).Related packagesMatplotlibStreamlitPlotlyShinyipywidgetsbokehHoloVizVega-AltairDatashader