Your Parquet Files Deserve Better Than Terminal Commands

Transform how you work with Apache Parquet files. One double-click replaces dozens of command lines. Now available on macOS, Windows & Linux.

10x
Faster workflow
0
Dependencies needed
3
Platforms supported
Parquet Reader
order_idproductcategorypriceqty
1001Wireless MouseElectronics24.993
1002Coffee BeansGrocery12.502
1003Yoga MatFitness34.001
1004USB-C CableElectronics9.995
1005NotebookOffice4.2510
SELECT category, SUM(price * qty) AS revenue FROM orders GROUP BY category ORDER BY revenue DESC;
categoryrevenue
Electronics124.92
Office42.50
Fitness34.00
Grocery25.00
Column price DOUBLE
Count5
Nulls0
Unique5
Min4.25
Max34.00
Mean17.15
Cross-Platform

Working with Parquet files shouldn't feel like archaeology

Every data professional knows the struggle. You receive a Parquet file, and suddenly you're writing Python scripts just to peek inside.

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Your OS Says "No"

Double-click a Parquet file and watch your OS shrug. No preview, no Quick Look, no native support whatsoever.

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Python Prison

Fire up Jupyter, import pandas, write df.head()... just to see the first few rows. Every. Single. Time.

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Time Vampire

Minutes turn to hours when you're constantly context-switching between data exploration and actual analysis.

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Missing Insights

When basic queries require code, you miss opportunities. Quick questions remain unanswered.

Meet Parquet Reader: Your data's new best friend

I built this app because I was tired of the friction. Now, exploring Parquet files feels as natural as browsing photos.

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Lightning-Fast Preview

Open Parquet files instantly โ€” no scripts, no notebooks, no waiting. Your data is just a double-click away.

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SQL at Your Fingertips

Write queries directly in the app. Filter, aggregate, and explore โ€” all powered by DuckDB under the hood.

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Column Statistics

Get instant insights: min, max, null counts, unique values, and more. Right-click any column for detailed stats.

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Privacy First

Your files stay on your device. No uploads, no tracking, no surprises โ€” just private, local analysis.

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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.

MV
Creator of Parquet Reader

Download Parquet Reader Today

Join thousands of data professionals who've already simplified their workflow. Free to use, no sign-up required.

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How to install on Linux

.deb: Double-click the file or run sudo dpkg -i parquet-reader.deb in terminal. Works on Ubuntu, Debian, Mint โ€” both x64 and ARM64.

.rpm: Double-click or run sudo rpm -i parquet-reader.rpm. Works on Fedora, RHEL โ€” both x64 and ARM64.

AppImage (x64 only): Make it executable with chmod +x ParquetReader.AppImage, then double-click. No installation needed!

Linux

Ubuntu, Debian, Fedora & more

v0.3.0 โ€ข x64 & ARM64

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How to install on Windows

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.

Windows

Windows 10/11

v0.3.0

๐ŸŽ macOS v1.4.1
DMG
๐ŸŽ macOS v1.3.0
DMG
๐Ÿง Linux v0.2.0 โ€” x64 & ARM64
.deb x64 AppImage .rpm x64 .deb ARM64 .rpm ARM64
๐Ÿง Linux v0.1.0 โ€” x64
.deb AppImage .rpm
๐ŸชŸ Windows v0.2.0
x64 .exe x86 .exe x64 .msi x86 .msi
๐ŸชŸ Windows v0.1.0
x64 .exe x86 .exe x64 .msi x86 .msi

Help Make Parquet Reader Even Better

This is a passion project built for the data community. Your support and feedback drive its evolution.

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Spread the Word

Love Parquet Reader? Help others discover it too! Share it on your favorite platform and support the data community.

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Share Your Ideas

Have a feature request or found a bug? I'm all ears. Your feedback shapes the future of Parquet Reader.

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