23 skills found
antonycourtney / TadA desktop application for viewing and analyzing tabular data
rilldata / RillThe fastest business intelligence tool for humans and agents.
mukunku / ParquetViewerSimple Windows desktop application for viewing & querying Apache Parquet files
l1xnan / DucklingA fast viewer for CSV/Parquet files and databases such as DuckDB, SQLite, PostgreSQL, MySQL, Clickhouse, etc., base on Tauri
XiangpengHao / Parquet ViewerView parquet files online
wylie102 / Duckdb.yaziYazi plugin that uses duckdb to preview data files.
PRQL / Prql QueryQuery and transform data with PRQL
timkpaine / Perspective ParquetParquet file reader and editor in Jupyterlab, built with `perspective` for pivoting, filtering, aggregating, etc
dvirtz / Vscode Parquet ViewerA VS Code extension to view Apache Parquet files as JSON
devinrsmith / Deephaven Parquet ViewerA browser-based Parquet file viewer
Data-Lake-Visualizer / Vscode Parquet VisualizerVScode extension for SQL querying and visualizing parquet- and CSV files
squey / SqueySquey 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)
battlecook / Vscode Omni ViewerA comprehensive audio, image, video, CSV, and JSONL viewer extension for VSCode and Cursor.
vipinc007 / ParquetViewerA web application for viewing Apache Parquet files . This is a Python + Flask application
marepilc / Pink ParquetUser-friendly viewer for Parquet files
GreyRaphael / TableViewerA cross-platform Table Viewer for parquet, arrow, ipc, feather, csv table file with sql query support
AzizNadirov / ParVuSimple 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.
lzm0 / Tablr📄 A parquet viewer based on egui and Polars
monsterxx03 / SqlparExplore parquet file with sql, without spark!
need47 / Dataframe TextualA powerful, interactive terminal-based viewer/editor for CSV/TSV/Excel/Parquet/Vortex/JSON/NDJSON built with Python, Polars, and Textual. Inspired by VisiData, this tool provides smooth keyboard navigation, data manipulation, and a clean interface for exploring tabular data directly in terminal with multi-tab support for multiple files!
