DeepSeek-Coder vs OmO

Side-by-side comparison of two AI agent tools

Short answer

  • DeepSeek-Coder has had no commit in 10 months; OmO is actively maintained (9,692 commits in the last 90 days).
  • OmO is growing faster: +810 GitHub stars in the last 30 days vs +210 for DeepSeek-Coder.
  • Pick DeepSeek-Coder for: deepSeek Coder: Let the Code Write Itself. Pick OmO for: omO: Just type "mass ulw" keyword with your prompt.

From GitHub data refreshed daily.

DeepSeek-Coderopen-source

DeepSeek Coder: Let the Code Write Itself

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OmOopen-source

OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.

Metrics

DeepSeek-CoderOmO
Stars24.3k69.8k
Star velocity /mo209.8421052631579810
Commits (90d)09.7k
Releases (6m)010
Downloads (30d, npm + PyPI)—91.7K
Overall score0.302320423413386940.8973547831718989

Pros

  • +支持80多种编程语言,覆盖范围极广,从主流语言到领域特定语言应有尽有
  • +提供1B到33B多种参数规格,用户可根据计算资源和性能需求灵活选择
  • +采用16K窗口大小和项目级训练,能够理解较长的代码上下文和项目结构

    Cons

    • -大参数版本对计算资源要求较高,可能需要专业的GPU硬件支持
    • -作为生成式AI模型,可能产生不完全正确或不安全的代码,需要人工审查

      Use Cases

      • •项目级代码补全和智能提示,提高开发效率
      • •代码填空和缺失部分补充,辅助代码重构和修复
      • •多语言编程项目支持,为使用多种编程语言的复杂项目提供一致的代码辅助

        FAQ

        Which is more popular, DeepSeek-Coder or OmO?
        OmO has more GitHub stars (69,768 vs 24,288).
        Which is more actively developed, DeepSeek-Coder or OmO?
        OmO had more commits in the last 90 days (9,692 vs 0).
        Should I use DeepSeek-Coder or OmO?
        Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.