Developer tools for data that stays local

Convert CSV & JSON to SQL, run automated EDA, inspect Parquet files, format queries, and more. Everything runs in your browser — nothing uploaded, nothing tracked.

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100% client-side · No accounts · Open every day

16 tools, zero server uploads

All parsing runs inside local browser memory.

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Automated EDA & Deep Data Profiler

Don't know your schema? Drop any CSV, JSON, or Parquet file to instantly generate complete Exploratory Data Analysis reports. Uncover KPIs, distribution histograms, null percentages, data types, and statistical classifications locally in milliseconds.

★ Click Here to Try Automated EDA →
🚀 Zero-Knowledge Schema Discovery 📊 Instant Distribution & Outlier Detection 📥 Export Reports to Markdown, HTML & PDF 🔒 100% In-Browser Privacy

Paste data, get SQL — in one step

Auto-detects types, escapes values, generates multi-dialect DDL.

Output-- Auto-generated from CSV input (PostgreSQL) CREATE TABLE "users" ( "id" INTEGER, "name" VARCHAR(255), "email" VARCHAR(255), "salary" NUMERIC, "active" BOOLEAN, "joined" TIMESTAMP ); INSERT INTO "users" VALUES (1, 'Alice', 'alice@co.io', 75000, TRUE, '2024-01-15'); INSERT INTO "users" VALUES (2, 'Bob', 'bob@test.org', 62000, FALSE, '2023-06-20');

Built for developers who care about privacy

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Instant type detection

Infers INTEGER, NUMERIC, BOOLEAN, TIMESTAMP, VARCHAR from your data automatically.

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Client-side only

All processing happens in browser memory. Data never touches a server.

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Multi-dialect SQL

PostgreSQL, MySQL, SQLite, and ANSI SQL with proper escaping and quoting.

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Automated EDA

Null analysis, distributions, outlier detection, quality scores, and exportable reports.

Frequently asked questions

Yes. Every tool is free with no account required.

No. All processing runs in your browser using JavaScript and WebAssembly. Nothing is transmitted.

Yes. The Parquet Inspector and Automated EDA use DuckDB WASM to read .parquet files directly in the browser.

Drop any dataset to instantly uncover column statistics, distributions, and data quality metrics without knowing your schema.

DataDevKIT scans all values per column and infers INTEGER, NUMERIC, BOOLEAN, TIMESTAMP, or VARCHAR with appropriate sizes.

Yes. Paste INSERT statements and extract structured CSV or JSON arrays.

Yes. The TSV to CSV & JSON Converter lets you parse tab-separated values instantly with copy-to-clipboard support.