Swama vs Ollama
Side-by-side comparison for macOS
Swama
8.0Machine-learning runtime
Ollama
8.0Get up and running with large language models locally
| Metric | Swama | Ollama |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 6 | 331 |
| 90-day Installs | 23 | 334 |
| 365-day Installs | 449 | 334 |
| Version | 2.5.1 | 0.40.6 |
| Auto-updates | No | No |
| Deprecated | No | No |
| GitHub Stars | 506 | 180.7K |
| GitHub Forks | 24 | 17.8K |
| Open Issues | 31 | 4.0K |
| License | MIT | MIT |
| Language | Swift | Go |
| Last GitHub Commit | 7mo ago | 1mo ago |
| First Seen | Jun 23, 2025 | Sep 11, 2026 |
Reviews
Swama
Swama is a high-performance machine learning runtime for macOS, offering efficient inference for large language models with a native Swift implementation. It benefits developers and ML enthusiasts by providing a fast and scalable solution for model execution.
Swama provides a runtime environment for executing machine learning models, particularly large language models, on macOS systems using Swift.
Pros
- + High-performance inference engine for macOS
- + Native Swift implementation for seamless integration
- + Active development and updates
Cons
- - No auto-update feature
- - Limited model support as per current issues
- - Some open issues indicating ongoing development needs
Ollama
Ollama is a local LLM tool that enables running large language models on your machine. It supports a variety of models and hardware accelerations, making it ideal for developers and enthusiasts.
Runs large language models locally with support for different architectures and models.
Pros
- + Runs models locally for performance and customization
- + Supports a wide range of models
- + Actively developed with frequent updates
Cons
- - No auto-update feature
- - May require setup for optimal use