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.

1.3k 119 +0/wk

GitHub

awesome awesome-text-to-sql awesome-text2sql database large-language-models llms natual-language-processing natural-language-understanding nl2sql survey text-to-sql text2sql

Trend 3

Star & Fork Trend (26 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 1.3k

forks 119

Growth Velocity

DEEP-PolyU/Awesome-LLM-based-Text2SQL has +0 stars this period . 7-day velocity: 0.1%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	Awesome-LLM-based-Text2SQL	xmnlp	rag-zero-to-hero-guide	paperbanana
Stars	1.3k	1.3k	1.3k	1.3k
Forks	119	187	326	196
Weekly Growth	+0	+0	+0	+2
Language	N/A	Python	Jupyter Notebook	Python
Sources	1	1	1	1
License	MIT	Apache-2.0	Apache-2.0	MIT

Capability Radar vs xmnlp

Awesome-LLM-based-Text2SQL

xmnlp

Maintenance Activity 100

Last code push 7 days ago.

Community Engagement 46

Fork-to-star ratio: 9.2%. Lower fork ratio may indicate passive usage.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.