SPOT: Open Source framework for scientific data repository and interactive visualization
Faruk Diblen, Jisk Attema, Rena Bakhshi, Sascha Caron, Luc Hendriks,, Bob Stienen

TL;DR
SPOT is an open source web-based tool enabling interactive analysis and visualization of multi-dimensional scientific datasets, supporting operations like filtering, aggregation, and scalable database integration, adhering to FAIR principles.
Contribution
This paper introduces SPOT, a novel open source framework that combines interactive visualization, data analysis, scalability, and FAIR principles for scientific data management.
Findings
Supports complex data analysis with aggregation and filtering.
Provides responsive, OpenGL-supported visualizations.
Ensures data reuse and comparison through FAIR principles.
Abstract
SPOT is an open source and free visual data analytics tool for multi-dimensional data-sets. Its web-based interface allows a quick analysis of complex data interactively. The operations on data such as aggregation and filtering are implemented. The generated charts are responsive and OpenGL supported. It follows FAIR principles to allow reuse and comparison of the published data-sets. The software also support PostgreSQL database for scalability.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsScientific Computing and Data Management · Distributed and Parallel Computing Systems · Computational Physics and Python Applications
