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Local Studio vs LM Studio
Side-by-side comparison for macOS
Local Studio
7.0Local workstation for running and managing language models
LM Studio
8.0Discover, download, and run local LLMs
| Metric | Local Studio | LM Studio |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 7.0 | 8.0 |
| 30-day Installs | 44 | 5.3K |
| 90-day Installs | 44 | 14.3K |
| 365-day Installs | 44 | 56.0K |
| Version | 3.0.3 | 0.4.26,4 |
| Auto-updates | Yes | Yes |
| Deprecated | No | No |
| GitHub Stars | 1.8K | 136 |
| GitHub Forks | 167 | 28 |
| Open Issues | 16 | 2 |
| License | Apache-2.0 | MIT |
| Language | TypeScript | Python |
| Last GitHub Commit | 1mo ago | 2y ago |
| First Seen | Sep 26, 2026 | Jul 22, 2023 |
Reviews
Local Studio
Local Studio is a workstation for managing and running various language models locally, offering support for multiple frameworks like VLLM and llama.cpp. It's ideal for developers and AI enthusiasts who prefer local model management.
Provides a local environment to run and manage different language models.
Pros
- + Supports multiple language model frameworks
- + Active development and community support
- + Auto-updates for convenience
Cons
- - Low 30-day install count
- - Limited community discussion on Reddit
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