Features
Everything you need to go from raw numbers to a defensible input model — free, inside Excel.
Guided nature wizard
Answer a few questions about your data and engineering discipline; WhichDist forms a candidate set with a transparent Candidate Policy.
Engineering major packs
Ten discipline packs add tailored distributions on top of the Core catalog — reliability, hydrology, telecom, process, quality, OR/simulation, aerospace, biomedical, energy, and data science.
AICc-led ranking
A composite score led by AICc, always showing Anderson–Darling and Kolmogorov–Smirnov (χ² for discrete). Best supported among candidates — never “the one true law”.
Proof plots
Histogram + fitted PDF, empirical vs fitted CDF, Q–Q, and a top-3 overlay — each with a “how to read it” note, ready for your report.
Comparison dashboard
Every candidate with parameters, log-likelihood, AICc/AIC/BIC, and GOF statistics side by side, with an info button on each metric.
Distribution DNA
A plain-language identity card for the recommended family: what it models, its parameters, and the assumptions to check.
Sample library
Curated datasets per engineering major — load them in memory or write them straight into Excel to try the whole workflow instantly.
Exports
Free: Excel + JSON. Pro: Python (scipy), R, Arena, Simio, AnyLogic, plus Monte Carlo sample generation.
Offline & private
Free analysis runs entirely inside Excel — your sample data is never uploaded.