nteract vs RStudio
Side-by-side comparison for macOS
nteract
5.0Interactive computing suite
RStudio
8.0Data science software focusing on R and Python
| Metric | nteract | RStudio |
|---|---|---|
| Category | Science | Developer Tools |
| AI Score | 5.0 | 8.0 |
| 30-day Installs | 21 | 1.2K |
| 90-day Installs | 31 | 3.3K |
| 365-day Installs | 99 | 13.5K |
| Version | 2.4.5,202605050448 | 2026.04.0,526 |
| Auto-updates | No | No |
| Deprecated | No | No |
| GitHub Stars | 12 | 5.0K |
| GitHub Forks | - | 1.2K |
| Open Issues | - | 1.4K |
| License | — | NOASSERTION |
| Language | Python | Java |
| Last GitHub Commit | 1mo ago | 1mo ago |
| First Seen | Nov 5, 2016 | Aug 9, 2023 |
Reviews
nteract
Nteract is an interactive computing suite that integrates with Jupyter notebooks, offering a desktop environment for data exploration and analysis. It's designed for data scientists and developers who need real-time collaboration and interactive coding capabilities.
Provides a desktop environment for interactive computing, supporting Jupyter notebooks and data exploration.
Pros
- + Integration with Jupyter ecosystem
- + Real-time collaboration features
- + Desktop environment for interactive computing
Cons
- - Low community traction
- - Unclear licensing information
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