Pink Parquet gives you a clean, user-friendly interface to inspect and analyze Parquet data. Open-source, cross-platform, and built for your daily workflow.
Open multiple Parquet files simultaneously and treat them as a unified dataset. Use standard SQL to perform complex joins and cross-file analysis without any setup.
SELECT product_name, country, SUM(gross_sales)
FROM sales_table
JOIN products_table USING(product_id)
GROUP BY product_name, country
HAVING SUM(gross_sales) > 100000
ORDER BY product_name, country;
Engineered with Rust for near-hardware speeds and ironclad memory safety. Pink Parquet efficiently streams millions of rows, ensuring a fluid experience even on resource-constrained hardware or older laptops.
Get immediate insights into your data distribution. Pink Parquet automatically calculates basic statistics for every column, including min, max, average, and null counts.
Fine-tune your viewing experience with specialized typography. Use Iosevka as your narrow default to fit more columns on screen, or choose one from 5 other monaspace fonts.
Stay in your flow. Launch Pink Parquet directly from your development environment with the Pink Parquet Opener extension, making Parquet inspection as natural as opening a text file.