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vericontext / querypad

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Drop a file. Query with SQL. Visualize and share. All in your browser. Powered by DuckDB-Wasm.

querypad.io browser csv data-analysis duckdb open-source
11
1
100% credibility
Found Mar 23, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

QueryPad is a browser-based playground for loading data files like CSV or Parquet, running SQL queries with AI assistance, creating charts, building query pipelines, and sharing results via links.

How It Works

1
🖥️ Open QueryPad

You visit the website in your browser and see a welcoming page with sample data ready to explore.

2
📁 Drop your data

Drag and drop your CSV, spreadsheet, or other data files anywhere on the page, and they load instantly with a list of tables on the side.

3
✏️ Ask about your data

Type a question like 'show average sales by region' in the editor, or press a shortcut for AI to suggest it for you.

4
▶️ Run and discover

Hit run to instantly see your answers in a smooth table or colorful chart that updates right away.

5
Share your insights
🔗
Share link

Copy a single link that lets anyone open your data and questions instantly.

👥
Team up live

Invite friends to edit and query together in real time.

💾
Download results

Save as spreadsheet, document, or other formats to use anywhere.

✅ Data analyzed!

You've quickly explored, visualized, and shared your data without installing anything—all in your browser.

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Star Growth

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AI-Generated Review

What is querypad?

Querypad is a browser-based SQL playground where you drop files here to upload CSVs, Parquet, JSON, or Excel, then query them instantly with full DuckDB analytics—no servers, installs, or accounts needed. Built in TypeScript with DuckDB-Wasm, it loads sample data on first visit, lets you write SQL with autocomplete, visualize results as charts, and share everything via a single link. Drop files anywhere on the page for a seamless bootstrap file drop experience, all running client-side.

Why is it gaining traction?

It stands out with global drag-and-drop (drop files to attach or browse from anywhere), one-click charts, AI-assisted SQL generation using your own API key, and URL sharing that packs data plus queries. Real-time collaboration with cursors, transform pipelines visualized as DAGs, and a plugin system for custom viz/exporters hook power users without setup friction. In a world of heavy tools, this free drop files browser app delivers instant SQL on local data.

Who should use this?

Data analysts prototyping queries on sales CSVs or Parquet dumps before ETL. Frontend devs building drop file React apps who need quick data exploration. Teams sharing insights via github drop oss links without spinning up BigQuery.

Verdict

Grab it for ad-hoc analysis—features punch above its 11 stars and 1.0% credibility score, with solid e2e tests and recent open-source release. Still early (watch for edge cases on huge files), but MIT-licensed and deployable to Vercel now.

(198 words)

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