About parquet.to

parquet.to is a free, browser-based tool for viewing and converting Apache Parquet files. Files are read locally — they never upload to a server.

Why this exists

Apache Parquet is the columnar storage format behind almost every modern data stack — Spark, DuckDB, pandas, Polars, BigQuery, Snowflake, Athena, and ClickHouse. But opening a Parquet file should not require installing Python, writing a script, or uploading sensitive data to someone else’s server.

How it works

Everything runs locally in your browser. When you open a file, a Parquet reader compiled to WebAssembly parses it directly from your disk. Your file is never uploaded, never sent to any analytics vendor, and never leaves your machine — you can verify this in your browser’s network tab.

What is supported

• Open Parquet files of practically any size your browser memory can hold.
• Display schema, including nested and logical types (lists, maps, structs, decimals, timestamps, UUIDs).
• Show row-group and column-chunk statistics.
• Browse rows with pagination and filtering.
• Decompress Snappy, Gzip, Zstd, LZ4, LZ4_RAW, and Brotli.
• Export to CSV, JSON, Excel (XLSX), SQL INSERT statements, and XML.

Contact

Bug report, feature request, or business inquiry? See the contact page at /contact or email contact@parquet.to.