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Swama vs Ollama

Side-by-side comparison for macOS

Swama

8.0
Developer Tools

Machine-learning runtime

Ollama

8.0
Developer Tools

Get 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