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parquetlens

v0.5.0

Published

A fast, interactive TUI for viewing Parquet files

Readme

parquetlens

A fast, interactive TUI for viewing Parquet files. Like csvlens but for Parquet.

parquetlens

Install

npm install -g parquetlens

Or run directly with npx:

npx parquetlens data.parquet

Usage

parquetlens <file|url|-> [options]

Options:

  • --limit <n> - Number of rows to show (default: 20)
  • --columns <a,b,c> - Comma-separated column list
  • --sql <query> - Run SQL query (uses data as table name, requires @parquetlens/sql)
  • --schema - Print schema only
  • --no-schema - Skip schema output
  • --json - Output rows as JSON lines
  • --tui - Open interactive viewer (default)
  • --plain / --no-tui - Disable interactive viewer

Examples:

# View local file
parquetlens data.parquet

# View with column selection
parquetlens data.parquet --columns city,state

# Fetch from URL (e.g., Hugging Face datasets)
parquetlens https://huggingface.co/datasets/cfahlgren1/hub-stats/resolve/main/daily_papers.parquet

# Hugging Face shortcut
parquetlens hf://datasets/cfahlgren1/hub-stats/daily_papers.parquet

# Pipe from stdin
parquetlens - < data.parquet

# Plain output (no TUI)
parquetlens data.parquet --plain --limit 100

# SQL query (requires optional @parquetlens/sql)
parquetlens data.parquet --sql "SELECT city, COUNT(*) FROM data GROUP BY city"

TUI Controls

| Key | Action | | --------------- | ----------------------- | | j/k or arrows | Scroll rows | | h/l | Jump columns | | PgUp/PgDn | Page scroll | | Mouse wheel | Scroll | | Click cell | Open detail panel | | s or Enter | Toggle detail panel | | e | Show error detail | | y | Copy error to clipboard | | x or Esc | Close panel (or quit) | | q | Quit |

Features

  • Fast: Uses a lightweight Parquet reader with HTTP range requests
  • Interactive TUI: Full-screen terminal UI with mouse support
  • URL Support: Read parquet files from URLs (including hf://)
  • Column Types: Shows Parquet schema types in headers
  • Cell Detail: Click any cell to see full content
  • Streaming: Reads only the rows you need

License

MIT