LatentGOLD vs PAST

LatentGOLD is Windows desktop software for latent class and profile analysis, finite mixture modeling, choice modeling, segmentation, clustering and advanced latent-variable work. Its Basic version includes Cluster, DFactor, Regression and Step3 point-and-click modules. Advanced/Syntax adds complex sampling, multilevel latent class models, continuous latent variables, a point-and-click Markov module and the LG-equations syntax language. Choice options cover first-choice, ranking, best-worst, rating and allocation data. The software includes statistical tests, regression models and scripting, and imports ASCII text and SPSS system files. LatentGOLD 6.1 is listed as compatible with Windows 10 and 11; the maker supports installation only on Windows machines. There is no stated record-count limit, although runtime depends on data, machine speed and requested output. The maker identifies researchers, universities, market researchers, consultants and data analysts as users. Eligible university-affiliated students, researchers and educators can request a free academic single-user license for academic or non-commercial research. Pricing includes a 14-day trial and paid plans; listed standard single-user pricing for Basic + Advanced/Syntax is €795 a year.

PAST is free desktop software for statistical analysis, available on Windows and macOS. It provides spreadsheet-style data entry, univariate and multivariate statistics, and graphical analysis. The software includes statistical tests, regression models, and scripting support. Data import covers Excel, NEXUS, TPS, NTSYS, FASTA, PHYLIP, Arlequin, BioGraph, RASC, CONOP, and tab-separated text, giving users several ways to bring existing datasets into the application. PAST is offered under a Free plan listed at free, with no separate paid plan listed. Its deployment is desktop rather than web-based. The maker is PAST, associated with Oslo, Norway, and the software was founded in 1999. The combination of spreadsheet entry, statistical methods, scripting, and broad import-format support makes it suited to users who need local analysis of data from varied sources.