Daner
DANER — AI-Powered Data Cleaning Desktop Application A cross-platform desktop “Analyst’s Cockpit” that lets users talk to their data. Built with Tauri + Svelte + Python + Rust, DANER combines a chat-based UI with a high-performance data-processing engine (Polars, spaCy, Librosa) for cleaning tabular, image, and audio datasets.
DANER — AI-Powered Data Cleaning Desktop App
DANER is an AI-driven data-cleaning co-pilot for analysts and engineers.
It’s a standalone desktop application that lets you chat with your data, clean files intelligently, and export perfect datasets — all locally, without the cloud.
Features
- Chat-based interface — Command your data conversationally.
- Multi-modal cleaning — Handles Tabular, Image, and Audio data.
- Proactive AI assistant — Auto-suggests cleaning actions (deduplication, imputation, etc.).
- High-performance engine — Powered by Rust + Polars.
- Custom themes — Dark, Light, Solarized, and High-Contrast.
- Offline & Secure — Runs 100% locally, no internet required.
Architecture Overview
| Layer | Technology | Purpose |
|---|---|---|
| Frontend | Svelte + TypeScript | Chat UI, data preview, theme system |
| Shell | Tauri (Rust) | Native window, file system, secure IPC |
| Backend | Python (FastAPI + Polars + spaCy + Librosa) | Data analysis, cleaning, NLP, audio/image ops |
| Bridge | Tauri invoke() + FastAPI | Connects UI ↔ Python sidecar |
