A desktop application for viewing and analyzing tabular data
The fastest business intelligence tool for humans and agents.
Yazi plugin that uses duckdb to preview data files.
Query and transform data with PRQL
Parquet file reader and editor in Jupyterlab, built with `perspective` for pivoting, filtering, aggregating, etc
VScode extension for SQL querying and visualizing parquet- and CSV files
Squey is an open-source cross-platform visualization software designed to interactively explore and understand large amounts of tabular data (this is the read-only mirror of https://gitlab.com/squey/squey)
A comprehensive audio, image, video, CSV, and JSONL viewer extension for VSCode and Cursor.
A web application for viewing Apache Parquet files . This is a Python + Flask application
User-friendly viewer for Parquet files
Simple desktop application for viewing and querying large Parquet, CSV, and JSON files. Built with PyQt6 and DuckDB for efficient lazy loading and SQL analysis of huge datasets (8GB+) without memory issues.
A cross-platform Table Viewer for parquet, arrow, ipc, feather, csv table file with sql query support
Explore parquet file with sql, without spark!
📄 A parquet viewer based on egui and Polars
VS Code Extension to explore Parquet and CSV files with DuckDB SQL
A command line tool for inspecting parquet files with PyArrow.
It is a program that helps data sciences to analyze parquet files.
A fast, privacy-focused Parquet file viewer that runs entirely in your browser
Add a description, image, and links to the parquet-viewer topic page so that developers can more easily learn about it.
To associate your repository with the parquet-viewer topic, visit your repo's landing page and select "manage topics."