PySPOD
6.0#86 in statistical analysis softwareFree planFree planLinuxSelf-hosted
VisitPySPOD vs Stata
What both publish
| Fact | PySPOD | Stata |
|---|---|---|
| Data import formats | NumPy arrays | Excel XLS/XLSX, CSV and delimited text, SAS, SPSS, Parquet, dBase, SQL databases via JDBC/ODBC, FRED, and Haver |
| Deployment | desktop | desktop |
| Free plan | Yes | No |
| Integrations | The documented parallel interface uses mpi4py and MPI distributions such as Open MPI or Mpich. | Stata supports Python, PyStata, Jupyter Notebook, Java, Java plugins, H2O, C/C++ plugins, JDBC, ODBC, SQL, and OLE Automation. |
| Scripting support | Yes | Yes |
PySPOD plans
- PySPODFree
Stata plans
- Stata/BE Prof+$175 a year
- Stata/SE Prof+$275 a year
- Stata/MP 2-core Prof+$395 a year
- Stata/MP 4-core Prof+$560 a year
- Stata/MP 6-core Prof+$675 a year
- Stata/MP 8-core Prof+$790 a year
Pick PySPOD if…
You want what its maker publishes above — check its page for the details.
Pick Stata if…
Stata suits researchers and analysts who need statistical methods, data management, visualization, and reporting in a desktop application. Its listed Prof+ pricing is specifically for eligible university faculty and staff.