REPOGEO 报告 · LITE
yoheinakajima/instagraph
默认分支 main · commit 65b179d9 · 扫描时间 2026/6/20 13:18:18
星标 3,550 · Fork 283
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 2 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 yoheinakajima/instagraph 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。
- hightopics#1Add relevant topics to the repository
原因:
当前(none)
复制粘贴的修复knowledge-graph, ai, nlp, text-to-graph, flask, python, visualization, graph-generation
- highreadme#2Refine the README's opening paragraph to emphasize AI-powered generation
原因:
当前Hello there, adventurous coder! Welcome to InstaGraph, your go-to application for converting text or URLs into insightful knowledge graphs. Curious about the relationships between entities in a complex topic? Feed the text to InstaGraph and voila! A beautiful knowledge graph is at your fingertips. See example flowcharts generated by InstaGraph here. Powered by OpenAI's GPT-3.5, this Flask application turns your text into a vividly colored graph, making it easier to visualize relationships between various entities. Enough talking—let's get started!
复制粘贴的修复Hello there, adventurous coder! Welcome to InstaGraph, an AI-powered application that converts text or URLs into insightful knowledge graphs. Powered by OpenAI's GPT-3.5, this Flask application automatically generates vividly colored graphs, making it easier to visualize relationships between entities extracted from complex topics. See example flowcharts generated by InstaGraph here.
- mediumhomepage#3Add the project homepage URL
原因:
当前(none)
复制粘贴的修复https://instagraph.ai
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。
- networkx/networkx · 被推荐 2 次
- Neo4j Bloom · 被推荐 1 次
- Neo4j Browser · 被推荐 1 次
- Neo4j Graph Database · 被推荐 1 次
- gephi/gephi · 被推荐 1 次
- 品类问题How to visualize relationships between entities extracted from unstructured text data?你:未被推荐AI 推荐顺序:
- Neo4j Bloom
- Neo4j Browser
- Neo4j Graph Database
- Gephi (gephi/gephi)
- Cytoscape (cytoscape/cytoscape)
- KeyLines
- Linkurious Enterprise
- D3.js (d3/d3)
- NetworkX (networkx/networkx)
- Matplotlib (matplotlib/matplotlib)
- Plotly (plotly/plotly.py)
- yFiles
AI 推荐了 12 个替代方案,却始终没点名 yoheinakajima/instagraph。这就是要补上的差距。
查看 AI 完整回答
- 品类问题What are good libraries for turning text into a visual knowledge graph using AI?你:未被推荐AI 推荐顺序:
- GraphRAG
- Haystack (deepset-ai/haystack)
- spaCy (explosion/spaCy)
- NetworkX (networkx/networkx)
- Pyvis (WestHealth/pyvis)
- vis.js (visjs/vis-network)
- OpenNRE (thunlp/OpenNRE)
- Stanza (stanfordnlp/stanza)
- PyKEEN (pykeen/pykeen)
- AmpliGraph (Accenture/AmpliGraph)
AI 推荐了 10 个替代方案,却始终没点名 yoheinakajima/instagraph。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 completenesswarn
建议:
- 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 yoheinakajima/instagraph?passAI 未点名 yoheinakajima/instagraph —— 很可能在说另一个项目
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 yoheinakajima/instagraph in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 yoheinakajima/instagraph
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 yoheinakajima/instagraph solve, and who is the primary audience?passAI 明确点名了 yoheinakajima/instagraph
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 yoheinakajima/instagraph 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/yoheinakajima/instagraph)<a href="https://repogeo.com/zh/r/yoheinakajima/instagraph"><img src="https://repogeo.com/badge/yoheinakajima/instagraph.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
yoheinakajima/instagraph — 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