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dashAI is an open-source, No-code workbench for Exploratory Data Analysis and classical ML. Visual data preparation, multi-model experiments, XAI explainability, and a plugin-based extensible catalog.
The platform guides users through a complete, traceable workflow — data ingestion → visual exploration → preprocessing → model training → evaluation → explainability — without writing a single line of code. Each step is explicit and reversible, keeping the user in control rather than delegating decisions to an opaque pipeline.
Features
- Interactive EDA with descriptive stats, missing value detection, and visualizations
- Multi-model ML experiments with side-by-side metric comparison (17 metrics)
- XAI explainability: SHAP values, feature importance, local and global explanations
- Generative AI module for text and image tasks
- Plugin system: extend the catalog via standard PyPI packages, no core modifications needed
License
MIT LicenseFollow dashAI
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