Free Parquet Viewer & Editor - View Parquet Files

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Open, view, and edit Parquet files with our interactive viewer and editor. Analyze, filter, modify, and visualize your columnar data with ease.

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Parquet Viewer Features

Edit data cells

Modify values directly in your Parquet files and download the updated file

Efficient browsing

Navigate large columnar datasets with ease

Lightning-fast performance

Open and analyze even large Parquet files instantly

Sort functionality

Arrange data by any column for quick analysis

Advanced filtering

Focus on specific data segments with powerful filters

Aggregation capabilities

Perform sum, average, count and other calculations on your data

AI-powered analysis

Ask questions about your data in plain English and get instant insights

How to view and edit Parquet files online

  1. Upload your Parquet file using the upload button
  2. View your data in a structured table format
  3. Enable edit mode to modify data cells directly
  4. Sort columns by clicking on column headers
  5. Filter data using the filter controls
  6. Ask questions about your data using the AI assistant
  7. Perform aggregations and advanced analysis
  8. Download your edited file or export in different formats

How to view Parquet files in Python

Here are three effective ways to view Parquet files in Python using different libraries. Each approach has its own advantages depending on your specific needs and file sizes.

Viewing Parquet files with Pandas

Pandas provides a straightforward approach for viewing files and works well for most common data tasks:

First, we need to install pandas

Then we can load and view the parquet file

Viewing Parquet files with DuckDB

DuckDB is an in-process SQL OLAP database that's perfect for larger files and analytical workloads:

First, we need to install duckdb

Then we can query the parquet file directly

Viewing Parquet files with ClickHouse

ClickHouse is a high-performance column-oriented database system that's excellent for large-scale data processing:

First, we need to install clickhouse-connect

Then we can load and query the parquet file

Frequently Asked Questions

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