Parquet File Viewer

Apache Parquet is a columnar storage format widely used in data engineering, analytics, and machine-learning pipelines (Spark, Pandas, DuckDB, Arrow, and more). Because it stores data column-by-column with rich type metadata, it is compact and fast to query, but not human-readable in a text editor.

What this viewer does

1. Reads your file into memory and parses the Parquet footer metadata to recover the schema, row count, row groups and writer.
2. Renders the schema with each column's physical type, logical/converted type and repetition (required, optional or repeated).
3. Decodes the row data and shows it in a sortable, paginated table; click any column header to sort, and filter rows with the search box.
4. Lets you export the decoded rows back out as CSV.

Notes

• Powered by Hyparquet, a pure-JavaScript Parquet reader; there is no server or WebAssembly dependency.
• Snappy, Gzip and uncompressed files are supported natively. Some exotic codecs (e.g. Zstandard) may not decode in the browser.
• 64-bit integers are shown as exact values, byte arrays as hex, and nested lists/structs as JSON.
• The whole file is loaded into memory, so extremely large files may be slow or exceed available RAM.

You can embed this util on your own site as a widget. Adding ?embed=1 to the URL loads a compact version with just the tool itself; no header, menu, or documentation. Paste this snippet into your HTML:

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