RRepoGEO

REPOGEO REPORT · LITE

eosphoros-ai/Awesome-Text2SQL

Default branch main · commit ab3fd156 · scanned 5/21/2026, 1:52:51 PM

GitHub: 3,647 stars · 248 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

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 eosphoros-ai/Awesome-Text2SQL, 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.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README H1 and opening paragraph to explicitly state it's an 'awesome list' or 'curated collection'

    Why:

    CURRENT
    # **Awesome Text2SQL**🎉🎉🎉

Curated tutorials and resources for Large Language Models, Text2SQL, [Text2DSL](Text2DSL.md), [Text2API](Text2API.md), [Text2Vis](Text2Vis.md) and more.
    COPY-PASTE FIX
    # **Awesome Text2SQL: A Curated Collection of LLM, Text2SQL, Text2DSL, Text2API, and Text2Vis Resources**🎉🎉🎉

This repository is the definitive awesome list for curated tutorials and resources covering Large Language Models, Text2SQL, Text2DSL, Text2API, Text2Vis, and related applications.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/eosphoros-ai/Awesome-Text2SQL
  • mediumtopics#3
    Add more descriptive topics to emphasize its function as a learning resource collection

    Why:

    CURRENT
    ai, awesome, datset, deep-learning, finetuning, hacktoberfest, hacktoberfest2024, llm, nl-to-sql, nl2sql, nlp, survey, test, text-to-sql, text2api, text2dsl, text2sql
    COPY-PASTE FIX
    ai, awesome, datset, deep-learning, finetuning, hacktoberfest, hacktoberfest2024, llm, nl-to-sql, nl2sql, nlp, survey, test, text-to-sql, text2api, text2dsl, text2sql, learning-resources, curated-collection

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.

Recall
0 / 2
0% of queries surface eosphoros-ai/Awesome-Text2SQL
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 · recommended 2×
  2. huggingface/transformers · recommended 1×
  3. Spider Dataset · recommended 1×
  4. Papers with Code · recommended 1×
  5. Picard · recommended 1×
  • CATEGORY QUERY
    What are the best resources for learning to convert natural language into SQL using LLMs?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers Library (huggingface/transformers)
    2. Spider Dataset
    3. Papers with Code
    4. Picard
    5. RAT-SQL
    6. SmBoP
    7. OpenAI API
    8. GPT-3.5 Turbo
    9. GPT-4
    10. LangChain (langchain-ai/langchain)
    11. LlamaIndex (run-llama/llama_index)
    12. DeepMind's AlphaCode
    13. Google's Codey
    14. PaLM 2 for Code

    AI recommended 14 alternatives but never named eosphoros-ai/Awesome-Text2SQL. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find curated tutorials and guides for Text2DSL, Text2API, and Text2Vis applications?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Hugging Face Datasets Libraries
    3. Hugging Face Course
    4. CodeT5
    5. CodeGen
    6. StarCoder
    7. Gradio Demos
    8. OpenAI
    9. GPT-3.5
    10. GPT-4
    11. Vega-Lite
    12. Python Matplotlib
    13. Seaborn
    14. Microsoft Research
    15. Azure AI
    16. CodeXGLUE Benchmark
    17. Google AI Blog
    18. PaLM 2
    19. Gemini
    20. GitHub
    21. Sketch-N-Sketch
    22. Chart-GPT
    23. Towards Data Science (Medium)
    24. Analytics Vidhya
    25. freeCodeCamp.org
    26. AI Coffee Break with Letitia

    AI recommended 26 alternatives but never named eosphoros-ai/Awesome-Text2SQL. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

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 eosphoros-ai/Awesome-Text2SQL?
    pass
    AI did not name eosphoros-ai/Awesome-Text2SQL — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts eosphoros-ai/Awesome-Text2SQL in production, what risks or prerequisites should they evaluate first?
    pass
    AI named eosphoros-ai/Awesome-Text2SQL 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 eosphoros-ai/Awesome-Text2SQL solve, and who is the primary audience?
    pass
    AI did not name eosphoros-ai/Awesome-Text2SQL — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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eosphoros-ai/Awesome-Text2SQL — 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