SmooSenseAI/smoosense
SmooSenseAI/smoosense has 120 GitHub stars and 13 forks. GitHot measured 0 stars in 24 hours and +1 in 7 days. Last checked 2026-11-13 00:34 UTC. Last push 2026-05-06.
Interactively browse multimodal tabular data
可以做什么
- 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.
实测星标增长
- 24小时
- 0
- 7天
- +1
- 15天
- 正在收集历史
- 1个月
- 正在收集历史
各周期内的星标净变化,周期相互重叠,并非每日新增。缺失的测量保持空白。星标代表关注度,不代表软件质量。
README.md
原文Landing Page | Read Docs | |
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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.
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