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stsievert/swix

默认分支 master · commit b3dbf29a · 扫描时间 2026/6/3 20:21:44

星标 586 · Fork 51

AI 可见性总分
40 /100
亟需修复
品类召回
0 / 2
在所有问题中均未被推荐
规则结果
通过 2 · 警告 0 · 失败 0
客观元数据检查
AI 认识你的名字
3 / 3
直接询问时,AI 是否点名你的仓库
如何阅读这份报告

行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 stsievert/swix 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。

行动计划 — 可复制粘贴的修复

3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。

整体方向
  • highreadme#1
    Reposition the README's opening to highlight Swix's value first

    原因:

    当前
    ## Swift Matrix and Machine Learning Library
    
    *Note: [tensorflow/swift][t4sw] and [apple/swift-numerics/issues/6][asn6] have or will have more complete support for NumPy-like ndarrays and autodiff. Fast AI has a good overview: https://www.fast.ai/2019/01/10/swift-numerics/*
    
    *An alternate and much mature library is https://github.com/AlexanderTar/LASwift*
    
    [t4sw]:https://github.com/tensorflow/swift
    [asn6]:https://github.com/apple/swift-numerics/issues/6
    
    Apple's Swift is a high level language that's *asking* for some numerical library to perform computation *fast* or at the very least *easily*. This is a bare-bones wrapper for that library.
    复制粘贴的修复
    ## Swift Matrix and Machine Learning Library
    
    Swix is a bare-bones wrapper for Apple's Accelerate and OpenCV frameworks, providing a NumPy-like API for high-performance numerical computations in Swift. It aims to simplify the porting of complex signal processing algorithms and Python/MATLAB-based numerical models to mobile apps, making Swift a powerful language for data science and machine learning on iOS.
    
    *Note: For more complete support for NumPy-like ndarrays and autodiff, consider [tensorflow/swift][t4sw] or [apple/swift-numerics/issues/6][asn6]. An alternate and much mature library is https://github.com/AlexanderTar/LASwift.*
    
    [t4sw]:https://github.com/tensorflow/swift
    [asn6]:https://github.com/apple/swift-numerics/issues/6
  • mediumtopics#2
    Expand repository topics to include specific use cases

    原因:

    当前
    linear-algebra, math, swift
    复制粘贴的修复
    linear-algebra, math, swift, numpy-like, machine-learning, data-science, ios-development, numerical-computing
  • mediumreadme#3
    Add a dedicated 'Comparison with Alternatives' section to the README

    原因:

    复制粘贴的修复
    ## Comparison with Alternatives
    
    Swix differentiates itself by offering a direct, NumPy-like API for Swift, specifically leveraging Apple's Accelerate and OpenCV for performance. While libraries like `swift-numerics` and `tensorflow/swift` offer broader numerical capabilities or deep learning frameworks, Swix focuses on providing a familiar interface for developers transitioning from Python/MATLAB, making it particularly suitable for integrating existing numerical algorithms into iOS applications with ease. Unlike general-purpose libraries, Swix prioritizes a user experience that mirrors common scientific computing environments.

本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash

品类可见性 — 真正的 GEO 测试

向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?

各模型使用同一组问题 — 切换标签对比回答与排名。

召回
0 / 2
0% 的问题里出现了 stsievert/swix
平均排名
越小越好。#1 表示首位推荐。
声量占比
0%
在所有被点名的工具中,你占了多少?
头号对手
Surge
在 2 个问题中被推荐 2 次
竞品排行
  1. Surge · 被推荐 2 次
  2. Accelerate Framework (vecLib) · 被推荐 1 次
  3. Swift for TensorFlow (S4TF) · 被推荐 1 次
  4. LAIK (Linear Algebra in Swift) · 被推荐 1 次
  5. NDArray · 被推荐 1 次
  • 品类问题
    What are the best Swift libraries for performing fast matrix operations and linear algebra?
    你:未被推荐
    AI 推荐顺序:
    1. Accelerate Framework (vecLib)
    2. Surge
    3. Swift for TensorFlow (S4TF)
    4. LAIK (Linear Algebra in Swift)
    5. NDArray

    AI 推荐了 5 个替代方案,却始终没点名 stsievert/swix。这就是要补上的差距。

    查看 AI 完整回答
  • 品类问题
    How can I efficiently implement numerical algorithms and machine learning models in Swift for iOS?
    你:未被推荐
    AI 推荐顺序:
    1. Core ML
    2. vDSP
    3. BNNS
    4. Swift for TensorFlow
    5. Surge
    6. Swift Numerics
    7. Metal Performance Shaders

    AI 推荐了 7 个替代方案,却始终没点名 stsievert/swix。这就是要补上的差距。

    查看 AI 完整回答

客观检查

针对 AI 引擎最看重的元数据信号的规则审计。

  • Metadata completeness
    pass

  • README presence
    pass

自指检查

当被直接问到你时,AI 是否还知道你的仓库存在?

  • Compared to common alternatives in this category, what is the core differentiator of stsievert/swix?
    pass
    AI 明确点名了 stsievert/swix

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

  • If a team adopts stsievert/swix in production, what risks or prerequisites should they evaluate first?
    pass
    AI 明确点名了 stsievert/swix

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

  • In one sentence, what problem does the repo stsievert/swix solve, and who is the primary audience?
    pass
    AI 明确点名了 stsievert/swix

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

嵌入你的 GEO 徽章

把这个徽章贴进 stsievert/swix 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。

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Pro

订阅 Pro,解锁深度诊断

stsievert/swix — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。

  • 深度报告每月 10 次
  • 无品牌品类查询5,轻量 2
  • 优先行动项8,轻量 3