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

Project Activity

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License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Languages

English, Spanish

Intended Audience

Education, Engineering, Information Technology, Science/Research

User Interface

React

Programming Language

JavaScript, Python

Database Environment

SQLite

Related Categories

Python Machine Learning Software, Python Generative AI, JavaScript Machine Learning Software, JavaScript Generative AI

Registered

2026-04-27