
SQLbuddy
SQL explained in plain English — instantly
What it does
Paste any SQL query or error message and get an instant plain-English explanation. SQLbuddy breaks down exactly what your query does, line by line, detects the SQL dialect automatically (MySQL, PostgreSQL, Oracle, SQLite, MSSQL), spots potential issues and antipatterns, and suggests an optimized version when possible. Perfect for junior developers, data analysts, and anyone who works with SQL but isn't a database expert. Free to use. No signup required.
Does the same job
all alternatives →- DSDescribe SQL using natural language, and execute against real data2021 · ▲66
I played around with GPT-3 to build this demo. Select a public BigQuery dataset and describe your query in natural English, then edit the generated SQL as needed and execute it. https://app.tabbydata.com/sql-assistant-demo

- TETranslate English to SQL2019 · github.com · ▲209
- TBTranslate between dialects and share SQL queries on the browser2025 · sqlscope.netlify.app · ▲19
Last year, I wanted to learn a bit about how easy it would be to deploy a python app via web assembly to the browser and decided to make a wrapper around the amazing sqlglot by Toby Mao and the rest of the team. The tool lets you paste in Sql queries and translate them between the available sql dialects in sqlglot. It also gives you parse diagnostics and the ability to easily share queries via storing all the state in the url. The stack that was used is typescript for the UI and pyodide to integrate with Sqlglot, which does the heavy lifting. It's more of a toy app but I've found some use…

- SBSQLPage – Build Dynamic Websites with Just SQL Queries2023 · sql.ophir.dev · ▲45
Hey Hacker News! I wanted to share the open source project I have been working on during the last year: SQLPage, a tool to build small web applications entirely in SQL. Building web applications with just SQL isn't as crazy as it seems. Most simple applications can be expressed declaratively as just data queries that fill pre-defined web components. I'd love to hear your feedback and thoughts on it. Would you potentially use it? How can it be improved? Website: https://sql.ophir.dev/ Github: https://github.com/lovasoa/SQLpage Example app:…
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