NumXL vs PAST
NumXL
numxl.comPAST
nhm.uio.noSide by side
| Figure | NumXL | PAST |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | — | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 13 | 1 |
| Spec score · Statistical Analysis Software | 8.6 (#11) | 7.5 (#65) |
| Data import formats | Excel spreadsheets/workbooks | Excel, NEXUS, TPS, NTSYS, FASTA, PHYLIP, Arlequin, BioGraph, RASC, CONOP, tab-separated text |
| Deployment | desktop | desktop |
| Free plan | No | Yes |
| Headquarters | Chicago, Illinois, United States | Oslo, Norway |
| Regression models | Yes | Yes |
| Scripting support | Yes | Yes |
| Statistical tests | Yes | Yes |
Plans
NumXL
- Commercial Monthly SubscriptionPrice not published
- Commercial Annual SubscriptionPrice not published
- Commercial PerpetualPrice not published
- Academic/Government/Non-profit Monthly SubscriptionPrice not published
- Academic/Government/Non-profit Annual SubscriptionPrice not published
- Academic/Government/Non-profit PerpetualPrice not published
- Academic/Government/Non-profit Monthly (Subscription)$18.75 a month
- Commercial Monthly (Subscription)$25 a month
- Academic/Government/Non-profit Annual (Subscription)$187 a year
- Commercial Annual (Subscription)$250 a year
In their own words
PAST
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.