salesforce/TabularSemanticParsing
Translating natural language questions to structured query language (SQL)
This helps data analysts, business intelligence specialists, or anyone needing to query a database without knowing SQL. It takes a question phrased in everyday language, along with your database's structure, and outputs an executable SQL query. This allows non-technical users to get answers from their data quickly and efficiently.
235 stars. No commits in the last 6 months.
Use this if you need to translate natural language questions into precise SQL queries across different databases.
Not ideal if you already know SQL and prefer to write queries manually, or if you need to query non-tabular data sources.
Stars
235
Forks
52
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
Sep 08, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/salesforce/TabularSemanticParsing"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
FerreroJeremy/ln2sql
A tool to query a database in natural language
jkkummerfeld/text2sql-data
A collection of datasets that pair questions with SQL queries.
eguilg/nl2sql
阿里天池首届中文NL2SQL挑战赛top6
DukeNLIDB/NLIDB
Natural Language Interface to DataBases
HKUSTDial/NL2SQL_Handbook
This is a continuously updated handbook for readers to easily track the latest Text-to-SQL...