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View your data frames in a browser

Project description

Tablescope

A lightweight tool for viewing DataFrames in your browser using Tabulator.js. Supports any DataFrame types that are compatible with Narwhals, including pandas and Polars.

Features

  • Interactive table view of your DataFrame
  • Full-text search across all columns
  • Column-specific filters
  • Column sorting and reordering
  • Cell editing (double-click to edit)
  • Export to CSV or JSON

Installation

pip install tablescope

Usage

Python API

Here's a simple example using a Polars DataFrame:

import polars as pl
from tablescope import show

df = pl.DataFrame({
    'name': ['Alice', 'Bob', 'Charlie'],
    'age': [25, 30, 35],
    'city': ['New York', 'London', 'Paris']
})

# Open the table in your browser
show(df)

Command Line Interface

You can also use tablescope from the command line by piping JSON data to it:

# View a JSON array of objects
echo '[{"name": "Alice", "age": 25}, {"name": "Bob", "age": 30}]' | tablescope

# Or pipe from a JSON file
cat data.json | tablescope

The CLI accepts JSON input from stdin and displays it in your browser using the same interactive table interface.

Development

To set up the development environment:

  1. Clone the repository
  2. Install development dependencies:
rye sync
  1. Download Tabulator.js files:
  2. Download the required Tabulator.js files:
wget https://unpkg.com/tabulator-tables@6.3.1/dist/js/tabulator.min.js -O static/tabulator.min.js
wget https://unpkg.com/tabulator-tables@6.3.1/dist/css/tabulator.min.css -O static/tabulator.min.css

License

MIT License

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