Best geopolrisk-py Alternatives in 2026

Free#94 of 106 in Statistical Analysis Software

The top geopolrisk-py alternatives are R, Stata and IBM SPSS Statistics: 15 statistical analysis software our editors would look at instead of geopolrisk-py, in our ranking order.

3.0/10Editor score

Visit geopolrisk-py

geopolrisk-py3.0 Visit geopolrisk-py

15 alternatives
Updated Oct 2026
Our geopolrisk-py verdict

geopolrisk-py: A focused GeoPolRisk library for supply-risk calculations, not general statistical analysis. Where it falls short: focused on raw-material supply risk rather than general statistical analysis.

Switching from geopolrisk-py? For most statistical analysis software buyers the best geopolrisk-py alternative is R, built for broad, extensible statistical computing.

Why People Look for a geopolrisk-py Alternative

Focused on raw-material supply risk rather than general statistical analysis
Does not provide general hypothesis-testing, regression, or Bayesian procedures
Requires Python and user-managed setup across desktop platforms
No statistical tests — 14 of the alternatives below have it
No regression models — 14 of the alternatives below have it

Quick Picks by What You Need

Best overallR9.4
Broad, extensible statistical computing
Visit R
Best free optionR9.4
Has a free plan
Visit R
Best for statistical testsR9.4
Statistical tests (geopolrisk-py: no)
Visit R

All 15 geopolrisk-py Alternatives, Ranked

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

1
R
Best forBroad, extensible statistical computing
- Better than geopolrisk-py:
- Statistical tests
- Regression models
- Editor score 9.4 vs 3.0
A free, programmable environment for statistical analysis, modeling, visualization, and data import.
- Regression models
- Statistical tests
- Scripting support
Free plan Our R verdict → Visit R
9.4/10★★★★★
Visit R
2
Stata
Best forProfessional, reproducible applied analysis
- Better than geopolrisk-py:
- Statistical tests
- Regression models
- Bayesian analysis
A broad, scriptable desktop environment for professional and reproducible applied analysis.
- Bayesian analysis
- Regression models
- Statistical tests
Our Stata verdict → Visit Stata
9.3/10★★★★★
Visit Stata
3
IBM SPSS Statistics
Best forEstablished all-purpose statistical analysis
- Better than geopolrisk-py:
- Statistical tests
- Regression models
- Editor score 9.2 vs 3.0
A broad desktop statistics suite with testing, modeling, forecasting, reporting, and R/Python integration.
- Regression models
- Statistical tests
- Scripting support
14-day trial Our IBM SPSS Statistics verdict → Visit IBM SPSS
9.2/10★★★★★
Visit IBM SPSS
4
SAS Advanced Analytics
Best forEnterprise predictive modeling and forecasting
- Better than geopolrisk-py:
- Editor score 9.1 vs 3.0
A broad SAS Viya analytics platform for enterprise modeling, forecasting and model operations.

Pricing on request Our SAS Advanced Analytics verdict → Visit SAS
9.1/10★★★★★
Visit SAS
5
JASP
Best forFree Bayesian and frequentist analysis
- Better than geopolrisk-py:
- Statistical tests
- Regression models
- Bayesian analysis
A free desktop statistics package combining drag-and-drop analysis with R-based workflows.
- Bayesian analysis
- Regression models
- Statistical tests
Free plan Our JASP verdict → Visit JASP
9.0/10★★★★☆
Visit JASP
6
jamovi
Best forAccessible analysis with R extensibility
- Better than geopolrisk-py:
- Statistical tests
- Regression models
- Bayesian analysis
Accessible point-and-click statistics with R extensibility and reproducible projects.
- Bayesian analysis
- Regression models
- Statistical tests
Free plan Our jamovi verdict → Visit jamovi
8.9/10★★★★☆
Visit jamovi
7
SAS/STAT
Best forOrganizations needing deep SAS statistical procedures
- Better than geopolrisk-py:
- Statistical tests
- Regression models
- Bayesian analysis
A broad SAS toolkit for organizations that need advanced statistical procedures.
- Bayesian analysis
- Regression models
- Statistical tests
Pricing on request Our SAS/STAT verdict → Visit SAS
8.8/10★★★★☆
Visit SAS
8
JMP
Best forInteractive quality and experimental analysis
- Better than geopolrisk-py:
- Statistical tests
- Regression models
- Editor score 8.7 vs 3.0
A mature desktop option for interactive quality and experimental analysis.
- Regression models
- Statistical tests
- Scripting support
30-day trial Our JMP verdict → Visit JMP
8.7/10★★★★☆
Visit JMP
9
EViews
Best forAdvanced econometrics and time series
- Better than geopolrisk-py:
- Statistical tests
- Regression models
- Bayesian analysis
A focused desktop suite for advanced econometrics, time-series analysis, and forecasting.
- Bayesian analysis
- Regression models
- Statistical tests
Free plan · 30-day trial Our EViews verdict → Visit EViews
8.6/10★★★★☆
Visit EViews
10
GraphPad Prism
Best forPublication-ready biomedical statistics
- Better than geopolrisk-py:
- Statistical tests
- Regression models
- Editor score 8.5 vs 3.0
A focused statistics and graphing suite for publication-ready biomedical research.
- Regression models
- Statistical tests
- Scripting support
Our GraphPad Prism verdict → Visit GraphPad Prism
8.5/10★★★★☆
Visit GraphPad Prism
11
SAS Visual Statistics
Best forEnterprise visual modeling and statistical exploration
- Better than geopolrisk-py:
- Statistical tests
- Regression models
- Editor score 8.4 vs 3.0
A visual and programmable modeling environment for teams developing and assessing statistical models.
- Regression models
- Statistical tests
- Scripting support
Pricing on request Our SAS Visual Statistics verdict → Visit SAS
8.4/10★★★★☆
Visit SAS
12
Minitab Statistical Software
Best forIndustrial quality and process analytics
- Better than geopolrisk-py:
- Statistical tests
- Regression models
- Bayesian analysis
A broad statistical toolkit for industrial quality teams with a high annual starting price.
- Bayesian analysis
- Regression models
- Statistical tests
14-day trial Our Minitab Statistical Software verdict → Visit Minitab
8.3/10★★★★☆
Visit Minitab
13
Statistica
Best forStatistical analysis with Spotfire deployment
- Better than geopolrisk-py:
- Statistical tests
- Regression models
- Editor score 8.2 vs 3.0
A broad statistical toolkit with scripting, R integration, and Spotfire deployment.
- Regression models
- Statistical tests
- Scripting support
Pricing on request · 30-day trial Our Statistica verdict → Visit Spotfire
8.2/10★★★★☆
Visit Spotfire
14
Statgraphics Centurion
Best forBroad Windows statistical and quality analysis
- Better than geopolrisk-py:
- Statistical tests
- Regression models
- Editor score 8.1 vs 3.0
A broad Windows toolkit for statistics, quality analysis, modeling, and machine learning.
- Regression models
- Statistical tests
- Scripting support
30-day trial Our Statgraphics Centurion verdict → Visit Statgraphics
8.1/10★★★★☆
Visit Statgraphics
15
PAST
Best forFree ecological and multivariate analysis
- Better than geopolrisk-py:
- Statistical tests
- Regression models
- Editor score 8.0 vs 3.0
A free desktop package for ecological, biological and multivariate analysis.
- Regression models
- Statistical tests
- Scripting support
Free plan Our PAST verdict → Visit PAST
8.0/10★★★★☆
Visit PAST

geopolrisk-py Alternatives: Common Questions

What is the best alternative to geopolrisk-py?

R: #1 in our Statistical Analysis Software ranking, with an editor score of 9.4 out of 10. A free, programmable environment for statistical analysis, modeling, visualization, and data import.

Is there a free alternative to geopolrisk-py?

Yes. R, JASP, jamovi, EViews and PAST have a free plan or a free tier.

Why do people look for geopolrisk-py alternatives?

Focused on raw-material supply risk rather than general statistical analysis; Does not provide general hypothesis-testing, regression, or Bayesian procedures; Requires Python and user-managed setup across desktop platforms.

How do I switch from geopolrisk-py?

Export your data from geopolrisk-py (most tools have an export in their settings). Sign up for the alternative; start on its free plan or trial if it has one. Import your export and set up the integrations your team relies on. Run both side by side for a short while, then cancel geopolrisk-py.

How to Switch from geopolrisk-py

Export your data from geopolrisk-py (most tools have an export in their settings).
Sign up for the alternative; start on its free plan or trial if it has one.
Import your export and set up the integrations your team relies on.
Run both side by side for a short while, then cancel geopolrisk-py.

geopolrisk-py vs Each Alternative

#	Tool	Free plan	Paid from	Deployment	Statistical tests	Regression models	Scripting support	Score
94	geopolrisk-py	Yes	Free	Desktop	No	No	Yes	3.0
1	R	Yes	Free	Desktop	Yes	Yes	Yes	9.4
2	Stata	No	$175/user/yr	Desktop	Yes	Yes	Yes	9.3
3	IBM SPSS Statistics	No		Desktop	Yes	Yes	Yes	9.2
4	SAS Advanced Analytics							9.1
5	JASP	Yes	Free	Desktop	Yes	Yes	Yes	9.0
6	jamovi	Yes		Both	Yes	Yes	Yes	8.9
7	SAS/STAT			Both	Yes	Yes		8.8
8	JMP	No		Desktop	Yes	Yes	Yes	8.7
9	EViews	Yes	$700 one-time	Desktop	Yes	Yes	Yes	8.6
10	GraphPad Prism	No	$142/user/yr	Both	Yes	Yes	Yes	8.5
11	SAS Visual Statistics			Cloud	Yes	Yes	Yes	8.4
12	Minitab Statistical Software	No	$2,394/user/yr	Both	Yes	Yes	Yes	8.3
13	Statistica	No		Both	Yes	Yes	Yes	8.2
14	Statgraphics Centurion	No		Desktop	Yes	Yes	Yes	8.1
15	PAST	Yes	Free	Desktop	Yes	Yes	Yes	8.0

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated 7 Oct 2026 · How we research and update