Weka vs jamovi
Side-by-side comparison for macOS
Weka
7.0Collection of machine learning algorithms for data mining tasks
jamovi
7.0Statistical software
| Metric | Weka | jamovi |
|---|---|---|
| Category | Science | Science |
| AI Score | 7.0 | 7.0 |
| 30-day Installs | 27 | 31 |
| 90-day Installs | 133 | 97 |
| 365-day Installs | 435 | 383 |
| Version | 3.8.6 | 2.7.28.0 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 330 | 695 |
| GitHub Forks | 247 | 75 |
| Open Issues | - | 357 |
| License | — | NOASSERTION |
| Language | Java | TypeScript |
| Last GitHub Commit | 7y ago | 1mo ago |
| First Seen | Aug 9, 2023 | Aug 9, 2023 |
Reviews
Weka
Weka is a comprehensive tool for machine learning and data mining, offering a wide range of algorithms. It's particularly beneficial for researchers and professionals in the field of data analysis. Despite its established presence, the project hasn't seen recent updates, which might be a concern.
Weka provides a collection of machine learning algorithms for data analysis and predictive modeling tasks.
Pros
- + Established and widely used in the machine learning community
- + Extensive collection of machine learning algorithms
- + User-friendly graphical interface for data analysis
- + Cross-platform compatibility
- + Supports various data formats and preprocessing techniques
Cons
- - No auto-update feature, requiring manual checks for updates
- - Last significant update was in 2019, indicating limited recent development
- - Recent licensing issues have been a point of contention
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