Packages vs Anaconda Distribution
Side-by-side comparison for macOS
Packages
8.0Integrated packaging environment
Anaconda Distribution
8.0Distribution of the Python and R programming languages for scientific computing
| Metric | Packages | Anaconda Distribution |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 83 | 2.0K |
| 90-day Installs | 333 | 6.7K |
| 365-day Installs | 2.1K | 42.7K |
| Version | 1.2.10 | 2025.12-2 |
| Auto-updates | Yes | Yes |
| Deprecated | No | No |
| GitHub Stars | 343 | 1 |
| GitHub Forks | 47 | 1 |
| Open Issues | 80 | 1 |
| License | — | MIT |
| Language | Objective-C | — |
| Last GitHub Commit | 2mo ago | 9y ago |
| First Seen | Oct 22, 2014 | Aug 9, 2023 |
Reviews
Packages
Packages is a powerful tool for creating and managing macOS installers, offering a user-friendly interface for developers. It integrates seamlessly with Xcode and PackageMaker, making it ideal for those who need to bundle and distribute software.
Packages allows users to create custom macOS installer packages with ease.
Pros
- + User-friendly interface for creating installers
- + Integration with Apple's development tools
- + Active development and support
Cons
- - Licensing details are unclear
- - Compatibility issues with newer macOS versions
Anaconda Distribution
Anaconda Distribution provides a comprehensive environment for Python and R programming, with tools for data analysis and scientific computing. It includes conda, a powerful package manager, and pre-installed libraries, making it ideal for researchers and data scientists.
Anaconda Distribution offers a complete platform for Python and R, simplifying package management and environment creation.
Pros
- + Comprehensive package management with conda
- + Pre-installed libraries for data science
- + Strong community support and resources
Cons
- - Large installation size
- - Steep learning curve for newcomers