Skip to main content

Smoothly make sense of your large multi-modal datasets

Project description

SmooSense Python SDK

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.

This repo contains source code for "SmooSense Python SDK".

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.

Demo: https://demo.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 + Commons Clause.

The license permits

  • Running on localhost/127.0.0.1: Development, testing, personal and commercial use on your local machine.
  • Creating derivative works: Build upon SmooSense for your own projects. Read "Bundled Content" below.
  • Dependency: You can include smoosense as a dependency of your open-source or commercial products. Your customers are free to use SmooSense on localhost, and it is their responsibility to acquire deployment license for production use.

The license does not permit

  • SaaS offerings: Providing SmooSense as a service to customers.
    • License fee is required when deployment domain is not localhost/127.0.0.1.
  • Commercial redistribution: Selling or licensing SmooSense to third parties.
    • Adding smoosense as a Python dependency is not considered as redistribution.

Bundled Content

Files in smoosense/statics contain bundled TypeScript code licensed under Apache 2.0 + Commons Clause. You are free to use the bundled code as-is, but it is not meant for modification. Original source files are available under the Business Source License (BSL).

Get a Commercial License

For commercial licensing questions, please contact SmooSense.

See the full LICENSE file for complete terms and conditions.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

smoosense-0.0.1rc16.tar.gz (50.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

smoosense-0.0.1rc16-py3-none-any.whl (78.6 kB view details)

Uploaded Python 3

File details

Details for the file smoosense-0.0.1rc16.tar.gz.

File metadata

  • Download URL: smoosense-0.0.1rc16.tar.gz
  • Upload date:
  • Size: 50.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.3

File hashes

Hashes for smoosense-0.0.1rc16.tar.gz
Algorithm Hash digest
SHA256 cfcb37a7968d429ff7884353b9028d4835f140bd50f194132afd923b429db3f8
MD5 0b82bd51219b41ab29d4c4fc4cc82f1e
BLAKE2b-256 6890ac3e82158d51549a35dfa61ec1105257f33c963660e331f3d7b8f4f1eb7b

See more details on using hashes here.

File details

Details for the file smoosense-0.0.1rc16-py3-none-any.whl.

File metadata

File hashes

Hashes for smoosense-0.0.1rc16-py3-none-any.whl
Algorithm Hash digest
SHA256 03fc421bf2938348297e38543e6ca1cd491c0bf4f7694e29937e727f7aaf74f9
MD5 587da66d4dcfb1e1de9e454f7104d685
BLAKE2b-256 c2c1a00156e8d3c3c3f684c8d32b2bba26a6507b87eb165c161c12bc465e6842

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page