Rodeo vs RStudio
Side-by-side comparison for macOS
Rodeo
4.0Data science IDE for Python
RStudio
8.0Data science software focusing on R and Python
| Metric | Rodeo | RStudio |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 4.0 | 8.0 |
| 30-day Installs | 2 | 1.2K |
| 90-day Installs | 3 | 3.3K |
| 365-day Installs | 28 | 13.5K |
| Version | 2.5.2 | 2026.04.0,526 |
| Auto-updates | No | No |
| Deprecated | Yes | No |
| GitHub Stars | 3.9K | 5.0K |
| GitHub Forks | 409 | 1.2K |
| Open Issues | 231 | 1.4K |
| License | NOASSERTION | NOASSERTION |
| Language | JavaScript | Java |
| Last GitHub Commit | 8y ago | 1mo ago |
| First Seen | Aug 9, 2023 | Aug 9, 2023 |
Reviews
Rodeo
Rodeo is a data science IDE for Python that offers an integrated environment for coding, data analysis, and visualization. It targets data scientists and Python developers seeking a specialized tool for their workflows.
Provides an integrated development environment for Python-based data science projects.
Pros
- + Specialized for Python data science
- + Integrated environment for coding and analysis
- + Open-source with a strong GitHub following
Cons
- - Inactive development and maintenance
- - Critical bugs and unresolved issues
RStudio
RStudio is a powerful integrated development environment (IDE) for data science, focusing on R and Python. It offers a comprehensive platform for coding, data analysis, and visualization, making it ideal for data scientists, statisticians, and developers working with these languages.
RStudio provides an integrated environment for coding, data analysis, and visualization, supporting R and Python.
Pros
- + Powerful IDE for R and Python
- + Strong support for data science tools
- + Active and large community
Cons
- - No auto-updates feature
- - Some reported bugs and feature requests