Positron vs PyCharm
Side-by-side comparison for macOS
Positron
7.0Data science IDE
PyCharm
8.0IDE for professional Python development
| Metric | Positron | PyCharm |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 7.0 | 8.0 |
| 30-day Installs | 187 | 1.4K |
| 90-day Installs | 548 | 4.6K |
| 365-day Installs | 2.0K | 19.0K |
| Version | 2026.05.0-179 | 2026.1.1,261.23567.174 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 4.0K | 1.2K |
| GitHub Forks | 141 | 733 |
| Open Issues | 1.7K | 11 |
| License | NOASSERTION | GPL-2.0 |
| Language | TypeScript | Python |
| Last GitHub Commit | 1mo ago | 2mo ago |
| First Seen | Jun 27, 2024 | Aug 9, 2023 |
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
PyCharm
PyCharm is a professional IDE for Python development, offering advanced code analysis, debugging, and integration with tools like Jupyter notebooks. It's ideal for developers working on complex Python projects, providing robust features for efficient coding and collaboration.
PyCharm provides an integrated development environment for Python development, offering tools for writing, testing, and debugging code.
Pros
- + Advanced code analysis and debugging tools
- + Python-specific features and plugins
- + Integration with Jupyter notebooks and other tools
- + Comprehensive debugging and profiling capabilities
- + Strong support for project management and version control
- + Collaboration tools for team development
Cons
- - Resource-intensive, requiring significant system resources
- - Steep learning curve for new users