Positron vs Spyder
Side-by-side comparison for macOS
Positron
7.0Data science IDE
Spyder
8.0Scientific Python IDE
| Metric | Positron | Spyder |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 7.0 | 8.0 |
| 30-day Installs | 187 | 89 |
| 90-day Installs | 548 | 288 |
| 365-day Installs | 2.0K | 1.7K |
| Version | 2026.05.0-179 | 6.1.4 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 4.0K | 9.2K |
| GitHub Forks | 141 | 1.8K |
| Open Issues | 1.7K | 1.3K |
| License | NOASSERTION | MIT |
| Language | TypeScript | Python |
| Last GitHub Commit | 1mo ago | 1mo ago |
| First Seen | Jun 27, 2024 | Nov 4, 2013 |
Reviews
Positron
Positron is a next-generation data science IDE designed for Python and R, offering a modern and integrated environment for developers and researchers. It benefits data scientists by providing a robust platform for coding, data analysis, and project management.
Positron serves as an integrated development environment for data science projects, supporting Python and R programming languages.
Pros
- + Modern and next-generation IDE for data science
- + Strong support for Python and R
- + Active development with frequent updates
Cons
- - No auto-update feature
- - High number of open issues may indicate unfinished features or bugs
Spyder
Spyder is a powerful scientific Python IDE designed for data analysis and visualization. It integrates seamlessly with tools like matplotlib, IPython, and numpy, making it ideal for researchers and data scientists.
Spyder provides a comprehensive integrated development environment for scientific computing in Python.
Pros
- + Fully featured scientific IDE with robust Python integration
- + Open-source and actively maintained
- + Cross-platform compatibility
Cons
- - Steep learning curve for new users
- - Potential performance issues on older systems