# DEEP-PolyU/Awesome-LLM-based-Text2SQL

[TKDE2025] Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL | A curated list of resources (surveys, papers, benchmarks, and opensource projects) on large language model-based text-to-SQL.

Repository: https://github.com/DEEP-PolyU/Awesome-LLM-based-Text2SQL
Canonical: https://ross.abutalabs.com/products/awesome-llm-based-text2sql
Homepage: https://arxiv.org/pdf/2406.08426
License: MIT
License Family: permissive
Topics: awesome, awesome-text-to-sql, awesome-text2sql, database, large-language-models, llms, natual-language-processing, natural-language-understanding, nl2sql, survey, text-to-sql, text2sql
Last push: 2026-08-03T00:50:21+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 95, release rhythm 35, longevity 25
- inputs: {"age_days": 354, "days_push": 31, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1358, forks 129 (observed 2026-08-28T04:04:29.567110+00:00)

## What it is
A curated awesome-list accompanying a TKDE 2025 survey on LLM-based text-to-SQL, collecting research papers, benchmarks, datasets, and open-source projects. It is continuously updated to track advances in natural-language-to-SQL research.

## Use cases
- find papers on llm-based text-to-sql
- research natural language to sql generation
- find benchmarks for text2sql models
- survey of database interfaces using large language models
- find open-source text-to-sql projects
- literature review for nl2sql research

## When to choose
- you need a comprehensive, curated reading list on LLM-based text-to-SQL
- you want benchmarks and datasets for text2sql research
- you want a taxonomy of text-to-SQL approaches from a peer-reviewed survey

## When to avoid
- you need a working text-to-SQL tool or library rather than resources
- you need production NL2SQL functionality out of the box

## Facets
- artifact type: learning-resource
- maturity: active
- function: nlp, database, llm-inference
- domain: large-language-models, databases, awesome-lists, tutorials
- platform: -
- tags: text-to-sql, nl2sql, survey, curated-list, research-papers, benchmarks, natural-language-processing, web-server

## Member repositories
- DEEP-PolyU/Awesome-LLM-based-Text2SQL (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:29.567110+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:41:44.591000+00:00, confidence not recorded.
  - readme: https://github.com/DEEP-PolyU/Awesome-LLM-based-Text2SQL (fetched 2026-08-28T04:04:29.567110+00:00, sha c061f18edde3)
- Data as of 2026-08-30T08:39:29.467469+00:00.