No Python, no notebook, no uploading your data somewhere to look at it. Double-click and the data is there — with full SQL on top of it. Free for single files. Everything runs on your machine.
| order_id | product | category | price | qty |
|---|---|---|---|---|
| 1001 | Wireless Mouse | Electronics | 24.99 | 3 |
| 1002 | Coffee Beans | Grocery | 12.50 | 2 |
| 1003 | Yoga Mat | Fitness | 34.00 | 1 |
| 1004 | USB-C Cable | Electronics | 9.99 | 5 |
| 1005 | Notebook | Office | 4.25 | 10 |
| category | revenue |
|---|---|
| Electronics | 124.92 |
| Office | 42.50 |
| Fitness | 34.00 |
| Grocery | 25.00 |
Every data professional knows the struggle. You receive a Parquet file, and suddenly you're writing Python scripts just to peek inside.
Double-click a Parquet file and watch your OS shrug. No preview, no Quick Look, no native support whatsoever.
Fire up Jupyter, import pandas, write df.head()... just to see the first few rows. Every. Single. Time.
Minutes turn to hours when you're constantly context-switching between data exploration and actual analysis.
When basic queries require code, you miss opportunities. Quick questions remain unanswered.
I built this app because I was tired of the friction. Now, exploring Parquet files feels as natural as browsing photos.
Open Parquet files instantly — no scripts, no notebooks, no waiting. Your data is just a double-click away.
Write queries directly in the app. Filter, aggregate, and explore — a full SQL engine built in.
Get instant insights: min, max, null counts, unique values, and more. Right-click any column for detailed stats.
Your files stay on your device. No uploads, no tracking, no surprises — just private, local analysis.
I built Parquet Reader because I needed it myself. Every feature comes from real frustration with existing tools. If you work with Parquet files daily, this app will change your workflow.
Free to use, no sign-up required. Pick your platform below.
.deb: Double-click the file or run sudo dpkg -i parquet-reader.deb in terminal. Works on Ubuntu, Debian, Mint — both x64 and ARM64.
.rpm: Double-click or run sudo rpm -i parquet-reader.rpm. Works on Fedora, RHEL — both x64 and ARM64.
AppImage (x64 only): Make it executable with chmod +x ParquetReader.AppImage, then double-click. No installation needed!
Early build • Ubuntu, Debian, Fedora & more
v0.4.0 • x64 & ARM64
App Store: Click "Get" and macOS handles everything for you, including auto-updates.
New versions ship exclusively through the App Store. Older DMG builds remain under "Previous versions" below.
Stable • App Store • Ventura 13.0+
🍎 Get it on the App StoreLatest version • Auto-updates
Sorry — direct downloads for macOS are retired. New versions are App Store only; older versions stay available below.
The app is not signed yet, so Windows may show a warning. Don't worry, it's safe!
If you see "Windows protected your PC": Click "More info", then click "Run anyway".
MSI: For IT/enterprise deployment. Same steps if a warning appears.
Early build • unsigned • Windows 10/11
v0.4.0
Everything that was free stays free — no time limit, no account.
Subscription via the Mac App Store version. Cancel anytime.
This is a passion project built for the data community. Your support and feedback drive its evolution.
Love Parquet Reader? Help others discover it too! Share it on your favorite platform and support the data community.
Have a feature request or found a bug? I'm all ears. Your feedback shapes the future of Parquet Reader.
Request a Feature