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SmooSense is a web-based application for exploring and analyzing large-scale multi-modal tabular data. It provides an intuitive interface for working with CSV, Parquet, and other data formats with powerful SQL querying capabilities.

Feature highlights

• Natively visualize multimodal data (images, videos, json, bbox, image mask, 3d assets etc)
• Effortlessly look at distribution. Automatic drill-through from statistics to random samples.
• Graphical and interactive slice-n-dice of your dataset.
• Large scale support for 100 million rows on your laptop.
• Easy to integrate; SmooSense directly work with table file (parquet, csv, jsonl, etc)
• Low cost. Free and open source to use on your laptop. Compute efficient when deployed.

Read more: https://smoosense.ai

How to use

CLI

Install uv, and then

uv tool install -U smoosense

In terminal, cd into the folder containing your data files, and then run sense

Jupyter Notebook

pip install -U "smoosense[jupyter]"

Inside Jupyter notebook:

from smoosense.widget import Sense
import pandas as pd
import numpy as np

df = pd.DataFrame(np.random.randn(500, 5), columns=["a", "b", "c", "d", "e"])

Sense(df)  # Displays automatically in Jupyter

License

SmooSense Python SDK is licensed under Apache 2.0.

This is a permissive open source license that allows you to:

• ✅ Use SmooSense for any purpose, including commercial use
• ✅ Modify and distribute the software
• ✅ Use it in proprietary software
• ✅ Deploy it in production environments
• ✅ Include it as a dependency in your projects

See the full LICENSE file for complete terms and conditions.