Local-first Parquet explorer

See inside your Parquet files.

A fast viewer for schema, statistics and rows — column-aware and type-coded. It reads in place and never uploads a byte.

Open web viewer Get the macOS app

Built for people who read schemas

Everything about a Parquet file, at a glance.

Columnar storage deserves a columnar viewer. Type is always legible by color, numbers are always tabular, and the metadata is never more than a glance away.

Open from anywhere

Open a single file, several at once, a whole folder, or a remote https:// URL — including Hugging Face hf:// paths and, in the desktop app, s3:// buckets via your AWS credentials. It streams only the bytes it needs, reading in place with no download step.

files & folders https:// URL hf:// s3:// drag & drop

Schema & statistics

Walk the full schema — physical and logical types, nesting, repetition — with every column tagged by a fixed color. Read min, max, distinct count, null ratio and compressed size straight from row-group metadata. No full scan required.

INT64 UTF8 TIMESTAMP min / max 12% null

Filter, sort & query — or ask AI

Add predicate filters and multi-column sorts with type-aware operators, or run custom SQL — joins, aggregates, CTEs and window functions. Not sure where to start? Describe what you want in plain English and let AI write the SQL for you.

salary > 100,000 SELECT GROUP BY AI-written SQL millions of rows

Export & share

Export the filtered, sorted view to CSV, JSON or a fresh Parquet file with just the columns you kept — written locally. Or copy a link to exactly what you’re looking at; the view rides the link’s #hash, so it never reaches our servers.

CSV JSON Parquet shareable link stays private

Three steps

From file to slice in about a minute.

Open anything

Drag a .parquet file in, browse to several at once, open a whole folder, or point at a remote URL, hf:// Hugging Face dataset, or s3:// bucket. Read in place — nothing is uploaded.

Inspect & filter

Read the schema and statistics, then filter and sort the rows you care about with type-aware operators — or describe a query in plain English and let AI write the SQL.

Export a slice

Export the current view to CSV, JSON or a new Parquet file — written straight to a folder you choose.

Two ways to open a file.

Same private, columnar viewer — run it in your browser, or install the native macOS app.

Web viewer

Web app · nothing to install

Open the viewer in any modern browser. Files are still read locally — they never leave your machine.

Open web viewer Chrome · Safari · Firefox · Edge

macOS app

Native · works fully offline

A native desktop build with folder access, drag & drop and faster reads on very large files.

Download on the App Store Apple silicon & Intel · macOS 13+