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Mirai vs Swama

Side-by-side comparison for macOS

Mirai

7.0
Developer Tools

Inference engine for AI models

Swama

8.0
Developer Tools

Machine-learning runtime

Metric Mirai Swama
Category Developer Tools Developer Tools
AI Score 7.0 8.0
30-day Installs 19 35
90-day Installs 50 120
365-day Installs 50 544
Version 0.3.9 2.2.0
Auto-updates Yes No
Deprecated No No
GitHub Stars 14.8K 506
GitHub Forks 2.5K 24
Open Issues 296 31
License AGPL-3.0 MIT
Language Kotlin Swift
Last GitHub Commit 1y ago 3mo ago
First Seen Jun 1, 2026 Jun 23, 2025

Reviews

Mirai

Mirai is an AI inference engine designed to help developers efficiently deploy and run machine learning models on various platforms. It supports cross-platform development and provides tools for on-device processing, making it ideal for developers working on AI applications.

Mirai runs AI models on devices, enabling efficient inference and deployment.

Pros

  • + Efficient AI model deployment
  • + Cross-platform support
  • + Active development community

Cons

  • - Confusing name due to Mirai botnet association
  • - Potential security concerns

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