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ashvardanian/NumKong
默认分支 main · commit 63a254f4 · 扫描时间 2026/6/25 14:17:12
星标 1,835 · Fork 124
下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。
共 3 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。
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 ashvardanian/NumKong 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。
- highreadme#1Clarify README H1 and first sentence to explicitly state core identity and disassociate from misinterpretations
原因:
当前# NumKong: Mixed Precision for All Portable mixed-precision math, linear-algebra, & retrieval library...
复制粘贴的修复# NumKong: Universal SIMD-Accelerated BLAS-like Library for Mixed-Precision Math. NumKong is a portable, high-performance library for mixed-precision linear algebra, vector operations, and information retrieval, offering 2'000+ SIMD kernels across x86, Arm, RISC-V, and WebAssembly, with bindings for C++, Python, Rust, JavaScript, Go, and Swift. (Note: This project is not affiliated with Kong Gateway or microservices solutions.)
- mediumtopics#2Add more specific topics related to high-performance numerical computing and linear algebra
原因:
当前arm-neon, assembly, blas, cpp, golang, information-retrieval, javascript, matrix-multiplication, metrics, numpy, rust, scipy, simd, swift, tensor, vector-search
复制粘贴的修复arm-neon, assembly, blas, cpp, golang, high-performance-computing, information-retrieval, javascript, linear-algebra, matrix-multiplication, metrics, numerical-computing, numpy, rust, scipy, simd, swift, tensor, vector-operations, vector-search
- lowcomparison#3Create a dedicated 'Comparison' section in the README
原因:
复制粘贴的修复## Comparison to Other BLAS-like Libraries NumKong differentiates itself from libraries like OpenBLAS, Intel MKL, BLIS, and Eigen by offering a unique combination of broad mixed-precision support, extensive architecture and language bindings, robust numerical stability through wider accumulators, and a significantly smaller binary footprint. It aims to provide a modern, portable alternative for high-performance numerical computing.
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。
- OpenBLAS · 被推荐 1 次
- Intel oneAPI Math Kernel Library (oneMKL) · 被推荐 1 次
- BLIS (Basic Linear Algebra Subprograms) · 被推荐 1 次
- Arm Performance Libraries · 被推荐 1 次
- Eigen · 被推荐 1 次
- 品类问题How to perform fast SIMD-accelerated linear algebra operations across multiple CPU architectures?你:未被推荐AI 推荐顺序:
- OpenBLAS
- Intel oneAPI Math Kernel Library (oneMKL)
- BLIS (Basic Linear Algebra Subprograms)
- Arm Performance Libraries
- Eigen
AI 推荐了 5 个替代方案,却始终没点名 ashvardanian/NumKong。这就是要补上的差距。
查看 AI 完整回答
- 品类问题Library for mixed-precision vector operations with robust numerical stability for information retrieval?你:未被推荐
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 completenesspass
- README presencepass
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 ashvardanian/NumKong?passAI 明确点名了 ashvardanian/NumKong
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 ashvardanian/NumKong in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 ashvardanian/NumKong
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 ashvardanian/NumKong solve, and who is the primary audience?passAI 明确点名了 ashvardanian/NumKong
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 ashvardanian/NumKong 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。
[](https://repogeo.com/zh/r/ashvardanian/NumKong)<a href="https://repogeo.com/zh/r/ashvardanian/NumKong"><img src="https://repogeo.com/badge/ashvardanian/NumKong.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
ashvardanian/NumKong — 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