Clarc vs Cherry Studio
Side-by-side comparison for macOS
Clarc
7.0Desktop client for Claude Code
Cherry Studio
8.0Desktop client that supports multiple LLM providers
| Metric | Clarc | Cherry Studio |
|---|---|---|
| Category | Developer Tools | Productivity |
| AI Score | 7.0 | 8.0 |
| 30-day Installs | 44 | 777 |
| 90-day Installs | 116 | 1.8K |
| 365-day Installs | 117 | 9.6K |
| Version | 1.4.1 | 2.0.10 |
| Auto-updates | Yes | Yes |
| Deprecated | No | No |
| GitHub Stars | 315 | 41.2K |
| GitHub Forks | 32 | 3.8K |
| Open Issues | 1 | 682 |
| License | NOASSERTION | AGPL-3.0 |
| Language | Swift | TypeScript |
| Last GitHub Commit | 1mo ago | 5mo ago |
| First Seen | Jul 25, 2026 | Feb 5, 2025 |
Reviews
Clarc
Clarc is a sleek macOS desktop client for Claude Code, offering a native GUI experience built with SwiftUI. It provides developers with a user-friendly interface for Claude Code, enhancing their workflow on macOS.
Clarc provides a graphical user interface for Claude Code on macOS, allowing users to interact with the tool through a desktop application.
Pros
- + Native macOS integration for Claude Code users
- + Sleek and modern SwiftUI-based interface
- + Auto-updates ensure users always have the latest features
Cons
- - Limited community discussion
- - Appeals primarily to a niche audience of Claude Code users
Cherry Studio
Cherry Studio is a desktop client that supports multiple large language model (LLM) providers, offering a comprehensive AI productivity suite with features like smart chat, autonomous agents, and access to over 300 assistants. It's ideal for professionals seeking to integrate AI tools across various applications.
Cherry Studio provides a unified desktop interface for interacting with multiple LLMs, enabling users to leverage AI capabilities across different applications.
Pros
- + Supports multiple LLM providers, offering versatile AI integration
- + Comprehensive AI productivity features including smart chat and autonomous agents
- + Active development and strong community engagement
Cons
- - High number of open GitHub issues suggesting areas needing improvement
- - Limited discussion in broader developer communities