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Osaurus vs LM Studio
Side-by-side comparison for macOS
Osaurus
7.0LLM server built on MLX
LM Studio
8.0Discover, download, and run local LLMs
| Metric | Osaurus | LM Studio |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 7.0 | 8.0 |
| 30-day Installs | 616 | 7.0K |
| 90-day Installs | 2.3K | 17.4K |
| 365-day Installs | 4.5K | 40.3K |
| Version | 0.18.9 | 0.4.12,1 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 4.0K | 136 |
| GitHub Forks | 163 | 28 |
| Open Issues | 30 | 2 |
| License | MIT | MIT |
| Language | Swift | Python |
| Last GitHub Commit | 1mo ago | 2y ago |
| First Seen | Sep 19, 2025 | Jul 22, 2023 |
Reviews
Osaurus
Osaurus is a local LLM server for macOS, enabling users to run and manage AI models locally or in the cloud. It supports Apple's foundation models and integrates with tools like Ollama, making it ideal for developers and AI enthusiasts.
Osaurus provides a runtime environment for AI models, allowing users to run and share models locally or via the cloud.
Pros
- + Compatible with Apple's foundation models and Ollama
- + Supports both local and cloud-based model execution
- + Built using Swift for native macOS integration
Cons
- - Lacks auto-update functionality
- - Past issues with performance and memory usage
LM Studio
LM Studio simplifies discovering, downloading, and running local large language models, catering to developers and data privacy enthusiasts who prefer on-prem AI solutions.
LM Studio allows users to discover, download, and run local large language models.
Pros
- + Simplifies discovery and management of local LLMs
- + Supports various models and architectures
- + Auto-updates ensure the latest features and bug fixes
Cons
- - Occasional bugs reported by users
- - Primarily suited for technically inclined users