Jetbrains PyCharm Community Edition vs PyCharm
Side-by-side comparison for macOS
Jetbrains PyCharm Community Edition
8.0IDE for Python programming - Community Edition
PyCharm
8.0IDE for professional Python development
| Metric | Jetbrains PyCharm Community Edition | PyCharm |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 623 | 1.4K |
| 90-day Installs | 2.0K | 4.6K |
| 365-day Installs | 11.5K | 19.0K |
| Version | 2025.2.5,252.28238.29 | 2026.1.1,261.23567.174 |
| Auto-updates | Yes | Yes |
| Deprecated | Yes | No |
| GitHub Stars | — | 1.2K |
| GitHub Forks | — | 733 |
| Open Issues | — | 11 |
| License | — | GPL-2.0 |
| Language | — | Python |
| Last GitHub Commit | — | 2mo ago |
| First Seen | Feb 25, 2014 | Aug 9, 2023 |
Reviews
Jetbrains PyCharm Community Edition
JetBrains PyCharm Community Edition is a powerful, free, and open-source IDE for Python development. It offers robust code editing, debugging, and integration with Python tools, making it ideal for developers working on Python projects.
PyCharm Community Edition provides a comprehensive integrated development environment for Python programming.
Pros
- + Full-featured IDE with excellent code editing and debugging capabilities
- + Free and open-source, accessible to all developers
- + Seamless integration with Python tools and frameworks
- + Extensive plugin ecosystem for additional functionality
Cons
- - Steep learning curve for new developers
- - Resource-intensive, requiring significant system resources
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