DDALAB is a cross-platform desktop application for analyzing neurophysiological data using Delay Differential Analysis (DDA). All data processing happens locally on your machine for maximum privacy. Besides being useful for physiological applications, DDALAB can serve as a general-purpose time-series visualization and annotation tool.
Features
- Multi-format support: EDF, FIFF, ASCII/CSV, BrainVision, and EEGLAB files
- BIDS compatibility: Native Brain Imaging Data Structure support
- OpenNeuro integration: Direct dataset browsing and downloads
- Real-time analysis: Interactive heatmaps and time-series visualization
- Analysis history: Persistent storage via SQLite
Technology
Frontend: Tauri v2, React 18, TypeScript, Next.js 14, and ECharts
Backend: Rust, Axum, SQLite, and the custom dda-rs package for DDA