gretl vs GeoDa
Side-by-side comparison for macOS
gretl
7.0Software package for econometric analysis
GeoDa
7.5Spatial analysis, statistics, autocorrelation and regression
| Metric | gretl | GeoDa |
|---|---|---|
| Category | Finance | Science |
| AI Score | 7.0 | 7.5 |
| 30-day Installs | 11 | 5 |
| 90-day Installs | 23 | 12 |
| 365-day Installs | 113 | 45 |
| Version | 2026c | 1.22.1 |
| Auto-updates | No | No |
| Deprecated | No | No |
| GitHub Stars | 12 | 790 |
| GitHub Forks | 6 | 160 |
| Open Issues | - | 122 |
| License | GPL-3.0 | GPL-3.0 |
| Language | C | C++ |
| Last GitHub Commit | 7mo ago | 1y ago |
| First Seen | Dec 28, 2017 | Jul 25, 2017 |
Reviews
gretl
Gretl is an open-source econometric analysis tool offering a user-friendly interface for regression and time-series modeling, ideal for economists and data analysts seeking a powerful yet accessible solution.
Gretl provides tools for regression analysis, econometric modeling, and time-series forecasting.
Pros
- + Open-source with GPL-3.0 license allowing modifications and distribution
- + User-friendly interface accessible to both beginners and advanced users
- + Active maintenance with recent updates and contributions
Cons
- - No auto-update feature requiring manual checks for new versions
- - Smaller community leading to limited third-party resources and slower issue resolution
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