The Distributome Project is an open-source, open content-development project for exploring, discovering, navigating, learning and computational utilization of diverse probability distributions, which are functions that assign probabilities to events and give rise to mass or density functions, distribution functions, quantile functions, probability and moment generating functions. The current Distributome XML meta-data on distribution properties and inter-distribution relations is available here, the XSD schema is available here, and the XML HTML5 Validator is here. The complete Distributome project Java source code is available online under LGPL license.
The  interactive Distributome graphical user Navigator (requires JavaScript-enabled browser) and allows community contributions (review, edit, revise and expand the core Distributome database. The Distributome project was initiated in 2008 by the UCLA Statistics Online Computational Resource, the UAH Virtual Laboratories in Probability and Statistics, and the OSU Mathematical Biosciences Institute. Comments, inquiries, collaboration-requests and other information may be obtained by email to . Since 2010, the Distributome project is funded in part by the National Science Foundation (NSF) grants 1416953, 1023115, 1022560, and 1022636. The Principal Investigators of the Distributome project are Ivo Dinov (SOCR/Michigan/UCLA), Dennis Pearl (MBI/OSU), and Kyle Siegrist (VLPS/UAH). Distributome development test server is available here.

The Distributome Scientific Advisory Board (SAB) provides ongoing advice, vision and constructive recommendations to the project development and evolution. SAB members include Lawrence Moore (Duke), David Aldous (Berkeley) and Robert Dobrow (Carleton College). Jim Pitman, UC Berleley, has also contributed significnatly to this effort.