DataFrog

DataFrog is a 100% browser-based data intelligence workspace that lets you inspect, analyze, validate, compare, clean, and visualize datasets locally without uploading files to a server.

What is DataFrog?

DataFrog is a web platform at datafrog.tools that offers 42 data tools across six categories: Inspect (9 tools), Analyze (10 tools), Validate (7 tools), Compare (7 tools), Clean (1 tool), and Visualize (8 tools). It runs entirely in the browser's JavaScript engine, so no data ever leaves your device. The platform is free, requires no account or sign-up, and works offline once a tool page is loaded.

What makes DataFrog stand out?

• 100% Browser-Based — All code executes in your local browser JavaScript engine; no external server compute is involved.
• Privacy First — Your datasets, API payloads, and files are never transmitted across the network or logged anywhere.
• No Upload Required — Files are read directly into browser memory; no remote file storage exists.
• Works Offline — Once a tool page is loaded, client-side JavaScript remains functional offline.
• Wide Tool Coverage — 42 tools spanning six categories, including JSON Viewer, CSV Viewer, Database Analyzer, and Financial Data Quality Management.
• Free Forever — No sign-ups or paywalls; all tools are available at no cost.

Who should use DataFrog?

• Data Analysts — Profile datasets and run statistical analysis (mean, median, min, max, sum, missing value ratios) without installing desktop software.
• Developers — Inspect JSON/XML/YAML payloads, validate syntax and JSON Schemas, and debug API responses in the browser.
• Data Engineers — Compare CSV/Excel files with side-by-side diffs, clean duplicates, and analyze SQL database schemas locally.
• Privacy-conscious users — Work with sensitive data that must not be uploaded to third-party servers.

What can you do with DataFrog?

• Inspect nested data: Use JSON Viewer to explore complex JSON trees with interactive tree view, depth metrics, and JSON path copy.
• Analyze databases: Use Database Analyzer to inspect SQL databases, SQLite files, CSV, and JSON, viewing tables, columns, keys, ER diagrams, and data quality issues.
• Validate files: Check JSON, XML, CSV, and YAML syntax with exact line/column error pointers, and verify JSON Schemas (Draft-04, Draft-07, 2020-12).
• Clean datasets: Deduplicate Excel/CSV files, normalize whitespace, standardize casing, and filter unwanted records locally.
• Visualize data: Transform JSON, CSV, XML, Excel, and YAML into interactive node trees, dashboards, and charts (Bar, Line, Pie, Doughnut).

How does DataFrog work?

You open a tool page, load or paste your data, and the browser processes it locally using JavaScript. There is no server upload or backend compute. Because everything runs client-side, once the page is loaded, you can continue working offline.

Pricing

DataFrog is completely free. There are no accounts, no sign-ups, and no paywalls.

FAQ

Is my data 100% private?

Yes. All transformations run locally inside your browser's JavaScript engine. Zero data is sent to external servers.

Do I need an account?

No. DataFrog is completely free with zero sign-ups or paywalls.

What data formats are supported?

The tools support JSON, XML, CSV, YAML, Excel, and SQLite files depending on the tool. For example, CSV Viewer features auto delimiter detection and column metrics, while the Validate category checks syntax and enforces JSON Schemas.

Can I use DataFrog offline?

Yes. Once a tool page is loaded in your browser, the client-side JavaScript remains functional offline.