Thonny (XXL bundle) vs PyCharm
Side-by-side comparison for macOS
Thonny (XXL bundle)
8.0Python IDE for beginners
PyCharm
8.0IDE for professional Python development
| Metric | Thonny (XXL bundle) | PyCharm |
|---|---|---|
| Category | Education | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | - | 1.4K |
| 90-day Installs | - | 4.6K |
| 365-day Installs | 13 | 19.0K |
| Version | 3.3.13 | 2026.1.1,261.23567.174 |
| Auto-updates | No | Yes |
| Deprecated | Yes | No |
| GitHub Stars | 3.7K | 1.2K |
| GitHub Forks | 1.2K | 733 |
| Open Issues | 842 | 11 |
| License | MIT | GPL-2.0 |
| Language | Python | Python |
| Last GitHub Commit | 1mo ago | 2mo ago |
| First Seen | Aug 9, 2023 | Aug 9, 2023 |
Reviews
Thonny (XXL bundle)
Thonny is a Python IDE specifically designed for beginners, offering a user-friendly interface and educational tools to help new developers learn Python effectively. It supports multiple Python versions and includes features like debugging and code completion, making it ideal for educators and those new to programming.
Thonny provides an integrated development environment for Python, designed to be simple and accessible for learners.
Pros
- + Tailored for educational purposes, making it ideal for teaching Python
- + Supports multiple Python versions and includes features beneficial for learning
- + Actively maintained with a strong developer community
Cons
- - No auto-update feature, requiring manual checks for updates
- - High number of open issues may indicate pending work 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