Parquet Viewer
Open web viewer Get the app
Local-first data explorer

See inside your Parquet files.

Explore schema, stats, and rows in a fast data grid. Open local or remote Parquet, CSV, TSV, JSON or JSONL — private, never uploaded.

Open web viewer Get the macOS app
Built for people who read schemas

Everything, at a glance.

Columnar storage, a columnar viewer. Types are color-coded, numbers are tabular, metadata is one glance away.

Read in place, never uploaded

Files are read where they live — only the bytes your view needs are streamed. Nothing hits a server, so even multi-gigabyte files open in moments.

no upload streams on demand stays on your machine

Schema & statistics

Walk the full schema — types, nesting, repetition — each column color-tagged. Min, max, distinct count, null ratio and size come straight from metadata. No full scan.

INT64 UTF8 TIMESTAMP min / max 12% null

Filter, sort & query — or ask AI

Filter and sort with type-aware operators, or run full SQL — joins, aggregates, CTEs, windows. Or describe what you want instead, and let AI write the SQL.

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

Export & share

Export the current view to CSV, JSON or Parquet, written locally. Or share a link to exactly what you see — it rides the URL #hash, so it never reaches our servers.

CSV JSON Parquet shareable link stays private
Formats & sources

Any common format, wherever it lives.

Parquet first, but it reads CSV, TSV, JSON and JSONL too — from disk, a URL, Hugging Face or S3.

Formats

.parquet Apache Parquet .csv CSV .tsv TSV .json JSON .jsonl JSON Lines .gz · .zst Compressed

Sources

Local files Folders Remote URL Hugging Face Amazon S3 Drag & drop
Try a dataset

Open a curated view in one click.

Each card opens the web viewer with a public dataset and a useful filter, sort or SQL query already set up.

US unemployment

TSV · 34 KB

Unemployment rate for 3,218 US counties, keyed by county FIPS code.

Highest unemployment first GitHub

NYC Airbnb

Parquet · 3.7 MB

49K listings — prices, neighborhoods, room types & review dates.

Priciest Manhattan listings Hugging Face

Census income

Parquet · 540 KB

33K people with age, job, education, hours worked and income bracket.

High-income share by education Hugging Face

Dolly 15k

JSONL · 13 MB

15,010 instruction, context & response records — a classic LLM fine-tuning set.

Creative-writing prompts only Hugging Face
Pricing

Free to read. Pro to go deeper.

The viewer is free, and your files always stay on your machine. Pro lifts the limits when you're ready for heavier work.

Free

$0 forever

Everything you need to open and explore.

  • Read files locally — never uploaded
  • Full schema, statistics & metadata
  • Filter, sort & full SQL
  • Save SQL queries to reuse
  • Profile any dataset's columns
  • Export to CSV, JSON & Parquet
  • AI queries for everyday questions
Open web viewer
Pro

Pro

$8 / month

or $72 / year — three months free.

  • Everything in Free
  • A smarter AI model for SQL
  • Faster answers from a quicker AI provider
  • Far higher AI query limits
  • Export every row — no caps
  • Unlimited saved-query library
  • Profile every column at once
  • Cancel anytime
Get Pro
FAQ

Questions, answered.

The short version of how Parquet Viewer handles your files, formats and queries.

Is my data uploaded when I use Parquet Viewer?

No. Your files are read and queried locally — in your browser with WebAssembly on the web, or on your Mac in the native app. The contents of your files never reach our servers. The only optional exception is the AI assistant, which sends your question and your table's column names and types — never the rows — to generate SQL.

What file formats can Parquet Viewer open?

Apache Parquet first, plus CSV, TSV, JSON and JSONL — including gzip- and zstd-compressed files. You can open them from your disk, an HTTPS URL, a Hugging Face dataset, or an Amazon S3 bucket.

Can I run SQL queries on a Parquet file?

Yes. Parquet Viewer runs full SQL with DuckDB — joins, aggregates, CTEs and window functions — over millions of rows. You can also describe what you want in plain English and let the AI assistant write the SQL for you.

Do I need to install anything?

No. The online viewer runs in any modern browser — Chrome, Safari, Firefox or Edge — with nothing to install. A native macOS app is also available for folder access and faster reads on very large files.

Can I convert Parquet to CSV or JSON?

Yes. Open a Parquet file and export the current view — including any filters, sorts or SQL — to CSV, JSON or Parquet. The export is written locally on your device.

How large a file can Parquet Viewer open?

Remote Parquet files are read in place with HTTP range requests, so only the bytes your view needs are fetched and multi-gigabyte files open in moments. The native macOS app reads very large local files fastest.

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 read locally — never uploaded.

Open web viewer Chrome · Safari · Firefox · Edge

macOS app

Native · works fully offline

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

Download on the App Store Apple silicon & Intel · macOS 14+