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Many asteroid databases with lightcurve brightness measurements (e.g. WISE,Pan-STARRS1) contain enormous amounts of data for asteroid shape and spinmodelling. While lightcurve inversion is not plausible for individual targetswith scarce data, it is possible for large populations with thousands ofasteroids, where the distributions of the shape and spin characteristics of thepopulations are obtainable.  We aim to introduce a software implementation of a method that computes thejoint shape elongation p and spin latitude beta distributions for a population,with the brightness observations given in an asteroid database. Other maingoals are to include a method for performing validity checks of the algorithm,and a tool for a statistical comparison of populations.  The LEADER software package read the brightness measurement data for auser-defined subpopulation from a given database. The observations were used tocompute estimates of the brightness variations of the population members. Acumulative distribution function (CDF) was constructed of these estimates. Asuperposition of known analytical basis functions yielded this CDF as afunction of the (shape, spin) distribution. The joint distribution can bereconstructed by solving a linear constrained inverse problem. To test thevalidity of the method, the algorithm can be run with synthetic asteroidmodels, where the shape and spin characteristics are known, and by using thegeometries taken from the examined database.  LEADER is a fast and robust software package for solving shape and spindistributions for large populations. There are major differences in the qualityand coverage of measurements depending on the database used, so syntheticsimulations are always necessary before a database can be reliably used. Weshow examples of differences in the results when switching to another database.

LEADER: fast estimates of asteroid shape elongation and spin latitude distributions from scarce photometry