SmooSense is an open source integrated development environment (IDE) designed for interactive exploration and analysis of multimodal data, including audio, video, images, and embeddings. It addresses the challenge of efficiently browsing, visualizing, and analyzing large and diverse datasets by providing a unified, visual workspace that operates directly on local or cloud-stored files and folders, such as those on S3. The platform is optimized for both technical and non-technical users, offering a graphical user interface that minimizes the learning curve and supports no-code workflows.
The tool features built-in support for common data modalities, allowing users to visualize images with optional masks and annotations, view audio files with automatically computed Mel-spectrograms, and handle videos, robotics motion data, 3D objects, JSON, and PDF files. SmooSense enables users to create custom visualizations by embedding them as iframes, providing flexibility for unique data types. Its interactive "slice-n-dice" capabilities allow users to explore data distributions, apply filters, and receive instant updates, with user interface actions automatically translated into optimized SQL queries that run in parallel. Powered by DuckDB, SmooSense operates directly on data files without the need for a separate query engine or data ingestion process, supporting rapid, scalable analysis on laptops or in the cloud.
Additional features include a dedicated chart for quickly identifying missing data percentages and a separate view that maintains visibility of actual data distributions, even when missing values are prevalent. Users can seamlessly move between high-level graphical analysis and detailed drill-throughs to individual samples, with single-click access to associated visuals. The platform is designed to scale from tens of millions of rows on a laptop to billions in cloud environments.
0 open source license, allowing for unrestricted use, modification, and deployment in both open-source and commercial projects. Its full source code, including the Python SDK and graphical user interface, is available on GitHub. The tool is free to use, with community support provided via GitHub, and offers enterprise options with premium support and tailored solutions upon request.
smoosense sits in PulseGate's Data science & ML workbench category. It focuses on simplifying the analysis and visualization of large, multi-modal datasets for data scientists and researchers. It is built as an open-source project for data scientists. smoosense is open source under the Apache-2.0 license. The product ships for the web and the command line.
Behind smoosense is SmooSenseAI, and the product first shipped in 2025. Development happens publicly on GitHub with 115 stars and 69 commits in the last 90 days. Key capabilities include data analysis, visualization, and multimodal support.
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