100% local · no upload · no backend

Explore, query and optimize
Parquet files in your browser

Drix opens .parquet files right in your browser — browse and query them with SQL, inspect the format, optimize for size and speed, and surface insights. Powered by DuckDB-WASM, with nothing ever leaving the page.

The Drix data grid showing a Parquet file with sortable, filterable columns and parquet type chips.

Five tools for one file

Data grid

Browse millions of rows

Sort, filter and paginate huge files instantly. Every operation compiles to DuckDB SQL, so the grid only ever holds the page on screen — a 50-million-row file feels like 50.

Drix data grid with multi-column sort and per-column filters.

SQL console

Query with DuckDB SQL

Run any SQL against your loaded files, JOIN multiple parquets together, and save snippets for later. Results render in the same fast grid.

Drix SQL console running a GROUP BY query with results in a grid.

File info

See inside the format

Every byte of Parquet metadata: compression codecs, encodings, row-group layout, column statistics, bloom filters and decoded key/value pairs.

Drix file info tab showing parquet compression, encodings and column statistics.

Optimize

Optimize for smaller files and faster reads

Drix deep-scans every column for better compression codecs, encodings and row-group layout, estimates exactly how much space you'd save, then generates ready-to-run Polars or DuckDB code to rewrite the file the better way.

Drix optimize tab listing file-size suggestions with generated rewrite code.

Insight

Understand your data

On-demand column statistics (like pandas describe()), correlation analysis, data-quality checks and anomaly detection — computed in-browser, with no notebook required.

Drix insight tab showing column statistics, correlations and data-quality checks.

And a lot of small things done right

Open a Parquet file now

It runs in your browser. Nothing to install, nothing to upload.