# eosphoros-ai/Awesome-Text2SQL

Curated tutorials and resources for Large Language Models, Text2SQL,  Text2DSL、Text2API、Text2Vis and more.

Repository: https://github.com/eosphoros-ai/Awesome-Text2SQL
Canonical: https://ross.abutalabs.com/products/awesome-text2sql
License: MIT
License Family: permissive
Topics: ai, awesome, datset, deep-learning, finetuning, llm, nlp, survey, text2sql, nl-to-sql, nl2sql, text-to-sql, test, text2dsl, text2api, hacktoberfest, hacktoberfest2024
Last push: 2026-01-26T01:46:37+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 64, release rhythm 35, longevity 78
- inputs: {"age_days": 1094, "days_push": 220, "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 3743, forks 249 (observed 2026-08-28T04:08:16.010633+00:00)

## What it is
A curated awesome-list of tutorials, papers, datasets, and resources for Text2SQL and related natural-language-to-structured-output tasks (Text2DSL, Text2API, Text2Vis) using Large Language Models. It also tracks leaderboards for benchmarks like WikiSQL, Spider, and BIRD.

## Use cases
- find papers and resources on text-to-sql with LLMs
- learn how to convert natural language questions into SQL queries
- compare model performance on Spider and BIRD benchmarks
- discover datasets for training NL2SQL models
- find resources for text-to-API and text-to-visualization generation
- research fine-tuning LLMs for database querying

## When to choose
- you are researching or building natural language to SQL systems
- you want a curated starting point for LLM-based structured generation tasks
- you need benchmark leaderboards and datasets for Text2SQL

## When to avoid
- you need runnable software rather than a resource list
- you want a production text-to-SQL engine out of the box

## Facets
- artifact type: learning-resource
- maturity: active
- function: nlp, machine-learning, llm-inference, rag, prompt-engineering
- domain: large-language-models, databases, artificial-intelligence, awesome-lists, tutorials
- platform: cross-platform
- tags: awesome-list, text2sql, nl2sql, text2dsl, text2api, text2vis, curated-resources, leaderboard, survey, natural-language-processing

## Member repositories
- eosphoros-ai/Awesome-Text2SQL (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:16.010633+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 2026-08-29T18:29:05.225116+00:00, confidence not recorded.
  - readme: https://github.com/eosphoros-ai/Awesome-Text2SQL (fetched 2026-08-28T04:08:16.010633+00:00, sha 04454c4c5a46)
- Data as of 2026-08-30T08:39:29.467469+00:00.