REPOGEO REPORT · LITE
totogo/awesome-knowledge-graph
Default branch master · commit 63253666 · scanned 5/19/2026, 11:07:55 PM
GitHub: 1,842 stars · 167 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface totogo/awesome-knowledge-graph, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highlicense#1Add a LICENSE file to the repository
Why:
CURRENT(no LICENSE file detected — the repo has no recognizable license)
COPY-PASTE FIXCreate a LICENSE file (e.g., MIT, Apache-2.0, or GPL-3.0) in the repository root.
- highreadme#2Enhance the README's opening statement to clarify its role as a discovery portal
Why:
CURRENT> A curated list of Knowledge Graph related learning materials, databases, tools and other resources
COPY-PASTE FIX> Your comprehensive guide and discovery portal for the Knowledge Graph ecosystem. This curated list provides essential learning materials, databases, tools, and other resources for anyone exploring or working with Knowledge Graphs.
- mediumhomepage#3Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIXSet the homepage URL in the repository settings to a relevant link, such as the GitHub Pages for the repo or a dedicated project website if one exists.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Neo4j · recommended 2×
- TypeDB · recommended 1×
- RDF · recommended 1×
- OWL · recommended 1×
- Apache Jena · recommended 1×
- CATEGORY QUERYWhat resources are available for learning about and implementing knowledge graphs?you: not recommendedAI recommended (in order):
- Neo4j
- TypeDB
- RDF
- OWL
- Apache Jena
- Stardog
AI recommended 6 alternatives but never named totogo/awesome-knowledge-graph. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhich graph databases and computing frameworks are suitable for large-scale data integration?you: not recommendedAI recommended (in order):
- Neo4j
- Amazon Neptune
- ArangoDB
- TigerGraph
- Apache Spark GraphX
- Apache Flink (with Gelly)
- Apache TinkerPop (Gremlin)
AI recommended 7 alternatives but never named totogo/awesome-knowledge-graph. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of totogo/awesome-knowledge-graph?passAI named totogo/awesome-knowledge-graph explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts totogo/awesome-knowledge-graph in production, what risks or prerequisites should they evaluate first?passAI named totogo/awesome-knowledge-graph explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo totogo/awesome-knowledge-graph solve, and who is the primary audience?passAI named totogo/awesome-knowledge-graph explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of totogo/awesome-knowledge-graph. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/totogo/awesome-knowledge-graph)<a href="https://repogeo.com/en/r/totogo/awesome-knowledge-graph"><img src="https://repogeo.com/badge/totogo/awesome-knowledge-graph.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
totogo/awesome-knowledge-graph — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite