GeoDa vs jamovi
Side-by-side comparison for macOS
GeoDa
7.5Spatial analysis, statistics, autocorrelation and regression
jamovi
7.0Statistical software
| Metric | GeoDa | jamovi |
|---|---|---|
| Category | Science | Science |
| AI Score | 7.5 | 7.0 |
| 30-day Installs | 3 | 31 |
| 90-day Installs | 14 | 97 |
| 365-day Installs | 61 | 383 |
| Version | 1.22.0.21,1.22.0 | 2.7.28.0 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 790 | 695 |
| GitHub Forks | 160 | 75 |
| Open Issues | 122 | 357 |
| License | GPL-3.0 | NOASSERTION |
| Language | C++ | TypeScript |
| Last GitHub Commit | 7mo ago | 1mo ago |
| First Seen | Jul 25, 2017 | Aug 9, 2023 |
Reviews
GeoDa
GeoDa is a powerful tool for spatial data analysis, offering features like autocorrelation and regression modeling. Ideal for researchers and urban planners, it provides comprehensive tools for understanding geospatial data.
GeoDa provides tools for spatial analysis, statistics, autocorrelation, and regression modeling.
Pros
- + Open-source with GPL-3.0 license
- + Comprehensive spatial analysis tools
- + Actively maintained with recent updates
Cons
- - No auto-update feature
- - Limited recent installs
jamovi
Jamovi is a user-friendly statistical software designed to bridge the gap between researchers and statisticians. It offers a modern interface for statistical analysis, integrates with R, and is open-source, making it accessible and extensible for data professionals.
Jamovi provides tools for statistical analysis, modeling, and visualization, catering to researchers and statisticians.
Pros
- + User-friendly interface for statistical analysis
- + Open-source and extensible with R integration
- + Free and accessible for researchers and statisticians
Cons
- - High number of open issues may indicate stability concerns
- - Some users report difficulty connecting RJEditor with system R