r-rig-app vs Anaconda Distribution
Side-by-side comparison for macOS
r-rig-app
8.0R Installation Manager
Anaconda Distribution
8.0Distribution of the Python and R programming languages for scientific computing
| Metric | r-rig-app | Anaconda Distribution |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 44 | 1.4K |
| 90-day Installs | 44 | 5.1K |
| 365-day Installs | 44 | 36.8K |
| Version | 0.8.1 | 2025.12-2 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 944 | 1 |
| GitHub Forks | 37 | 1 |
| Open Issues | 67 | 1 |
| License | MIT | MIT |
| Language | Rust | — |
| Last GitHub Commit | 21d ago | 9y ago |
| First Seen | Jun 13, 2026 | Aug 9, 2023 |
Reviews
r-rig-app
R-Rig-App is an R Installation Manager designed for developers and data scientists managing multiple R versions. It offers features like version switching and installation management, making it ideal for those needing precise R environment control.
Manages R installations and version switching for users.
Pros
- + Active development and responsive issue handling.
- + Efficient management of multiple R versions.
- + MIT license provides freedom and flexibility.
Cons
- - Lacks auto-update functionality.
- - Low recent installations indicate limited adoption.
Anaconda Distribution
Anaconda Distribution provides a comprehensive environment for Python and R programming, with tools for data analysis and scientific computing. It includes conda, a powerful package manager, and pre-installed libraries, making it ideal for researchers and data scientists.
Anaconda Distribution offers a complete platform for Python and R, simplifying package management and environment creation.
Pros
- + Comprehensive package management with conda
- + Pre-installed libraries for data science
- + Strong community support and resources
Cons
- - Large installation size
- - Steep learning curve for newcomers