QwenLM/qwen-code vs Tabby

Side-by-side comparison of two AI agent tools

Short answer

  • QwenLM/qwen-code is growing faster: +465 GitHub stars in the last 30 days vs +123 for Tabby.
  • Pick QwenLM/qwen-code for: an open-source AI coding agent that lives in your terminal. Pick Tabby for: self-hosted AI coding assistant.

From GitHub data refreshed daily.

Q
QwenLM/qwen-codeopen-source

An open-source AI coding agent that lives in your terminal.

Tabbyfree

Self-hosted AI coding assistant

Metrics

QwenLM/qwen-codeTabby
Stars28.3k33.9k
Star velocity /mo465122.53968253968254
Commits (90d)3.5k0
Releases (6m)100
Overall score0.86420942224608440.30580704685089266

Pros

    • +完全自托管和开源，确保代码隐私和数据安全，无需将敏感信息发送到外部服务器
    • +资源要求适中，支持在消费级GPU上运行，降低了硬件门槛和部署成本
    • +提供OpenAPI接口和丰富的集成选项，包括VS Code扩展、聊天功能等，易于融入现有开发工作流

    Cons

      • -需要自行维护服务器基础设施和软件更新，增加了运维负担
      • -相比商业产品如GitHub Copilot，功能覆盖可能有所局限，且需要一定技术能力进行部署配置

      Use Cases

        • •金融、医疗等高度监管行业的企业，需要确保代码和数据不离开内部网络环境
        • •预算有限的中小型开发团队，希望获得AI编程助手但无法承担商业许可费用
        • •云IDE服务商或企业内部开发平台，需要集成AI代码助手功能到自有系统中
        View QwenLM/qwen-code DetailsView Tabby Details

        FAQ

        Which is more popular, QwenLM/qwen-code or Tabby?
        Tabby has more GitHub stars (33,888 vs 28,273).
        Which is more actively developed, QwenLM/qwen-code or Tabby?
        QwenLM/qwen-code had more commits in the last 90 days (3,463 vs 0).
        Should I use QwenLM/qwen-code or Tabby?
        Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.