NumXL vs SAS Visual Statistics
NumXL
numxl.comSAS Visual Statistics
sas.comSide by side
| Figure | NumXL | SAS Visual Statistics |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 13 | 1 |
| Spec score · Statistical Analysis Software | 8.6 (#11) | 8.2 (#27) |
| Data import formats | Excel spreadsheets/workbooks | SAS data sets, Excel (XLS/XLSX), delimited text files, CSV, DTA, JMP, Parquet, SPSS |
| Deployment | desktop | SAS Viya supports cloud, hybrid and on-premises deployment environments. |
| Headquarters | Chicago, Illinois, United States | Cary, North Carolina, USA |
| Regression models | Yes | Yes |
| Scripting support | Yes | Yes |
| Statistical tests | Yes | Yes |
| Support | Plans include support and updates, and the maker offers tutorials, documentation, and in-house support by email or phone. | SAS provides Visual Statistics documentation, tutorials, communities and technical support through its support site. |
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
SAS Visual Statistics
SAS Visual Statistics is a statistical visualization and modeling product on SAS Viya. It supports analysis from raw data toward strategic action, with visual model building, variable adjustment, and outlier removal; users can see how those changes affect outcomes. Multiple users can collaborate on the same data model, and the environment supports Python, R, or SAS. Listed techniques include clustering, decision trees, linear and logistic regression, generalized linear and additive models, and nonparametric logistic regression.
Imports include SAS data sets, Excel, delimited text, CSV, DTA, JMP, Parquet, and SPSS. Programmers can access the Viya CAS server through SAS Studio, PROC CAS, Python, R, Lua, Java, and public REST APIs. Native Python Pandas DataFrame integration supports sending DataFrames to CAS and retrieving results for use with packages such as Pandas, matplotlib, Plotly, and Bokeh. SAS Cloud Analytic Services processes data in memory and distributes work across cluster nodes. The product is cloud-deployed, paid, and priced on request; no free plan is listed, but a free trial is available.