Miniconda vs Anaconda Distribution
Side-by-side comparison for macOS
Miniconda
8.0Minimal installer for conda
Anaconda Distribution
8.0Distribution of the Python and R programming languages for scientific computing
| Metric | Miniconda | Anaconda Distribution |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 6.7K | 2.0K |
| 90-day Installs | 20.7K | 6.7K |
| 365-day Installs | 80.8K | 42.7K |
| Version | py313_26.3.2-2 | 2025.12-2 |
| Auto-updates | Yes | Yes |
| Deprecated | No | No |
| GitHub Stars | 435 | 1 |
| GitHub Forks | 77 | 1 |
| Open Issues | 79 | 1 |
| License | MIT | MIT |
| Language | TypeScript | — |
| Last GitHub Commit | 2mo ago | 9y ago |
| First Seen | Feb 4, 2016 | Aug 9, 2023 |
Reviews
Miniconda
Miniconda is a lightweight alternative to Anaconda, offering a minimal installer for conda. It's ideal for developers and data scientists who prefer a streamlined environment without unnecessary packages.
Miniconda installs conda in a minimal manner, allowing users to create and manage isolated environments for their projects.
Pros
- + Minimal installation footprint
- + Supports conda package management
- + Auto-updates keep the installation current
- + Strong community and developer support
- + Free and open-source
Cons
- - Limited pre-installed packages compared to Anaconda
- - May require manual setup for some tools
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