databrowser 1.0.1

Quick tool to browse and view data files (json,csv,parquet,more) on local disk and s3

databrowser

A terminal file browser for quickly viewing data files, from local disk or S3.

Supports csv, parquet, json, xlsx, xls, xml and html — read into pandas DataFrames and shown in a scrollable table (with a dtype view). Built on Textual.

Originally based on the example code_browser from Textual.

install

The package is published on pypi https://pypi.org/project/databrowser/

run pip install databrowser (pip install databrowser --upgrade to get latest version)

Then just execute databrowser

Build

This project uses uv (Python >= 3.13).

Execute uv sync to create the virtual env and install the package and its dependencies.

Run uv run databrowser to execute in the virtual env (or uv run python src/databrowser/data_browser.py).

Usage

databrowser [optional path] (defaults to the current directory)

S3 Support

with the help of S3Path and S3fs the browser now supports s3.

use databrowser s3:// to start browsing buckets

or databrowser s3://bucket/path/subdir/ to browse a specific directory.

it uses the default aws credentials in the environment

Select a data file to view

• press F to hide the filebrowser

• press D to show the dtypes

• press S to save a screenshot in svg

• press Q to quit

By default the preview shows the first 100 rows. Set DATABROWSER_ROWS to change it, e.g. DATABROWSER_ROWS=500 databrowser data/.

examples