Microsoft Visual Studio vs PyCharm
Side-by-side comparison for macOS
Microsoft Visual Studio
8.0Integrated development environment
PyCharm
8.0IDE for professional Python development
| Metric | Microsoft Visual Studio | PyCharm |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 86 | 1.4K |
| 90-day Installs | 249 | 4.6K |
| 365-day Installs | 1.8K | 19.0K |
| Version | 17.6.14.413,154dca6a-af92-456d-8874-9c7c27f0bd21,60bf4fe63620e88714aef690ec794226 | 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 | Nov 16, 2016 | Aug 9, 2023 |
Reviews
Microsoft Visual Studio
Microsoft Visual Studio is a powerful integrated development environment (IDE) designed for professional developers working on .NET applications and cross-platform projects. It offers robust debugging, code editing, and collaboration tools, making it a go-to choice for software development teams.
Provides a comprehensive platform for coding, debugging, and building applications across multiple platforms.
Pros
- + Professional-grade IDE with advanced debugging and collaboration features
- + Supports .NET development and cross-platform projects
- + Regular updates and strong community support
Cons
- - Discontinued native Mac support
- - Perceived alignment with sales priorities over open-source contributions
- - Security concerns highlighted in recent discussions
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