MADS

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Category:AI Agent Development Frameworks

Overview

An open-source multi-agent framework that automates data science pipelines with minimal input.

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Best For Professions:

data scientists machine learning engineers business analysts IT professionals non-technical users

MADS is an open-source framework designed to automate data science pipelines using a multi-agent system. By requiring only two inputs, it streamlines the process of generating machine learning models, performing analyses, and producing reports. MADS facilitates rapid prototyping and enables non-technical users to generate predictions effortlessly. Its modular architecture allows for the integration of various tools to enhance forecasting, model optimization, and data visualization, thereby accelerating business decision-making and automating compliance reporting.

Autonomy level

71%

Reasoning: MADS demonstrates Level 3 agentic automation (Plan and Reflect) through its multi-agent architecture that autonomously executes full data science pipelines after initial user input. The system handles data processing, model selection/optimization, and report generation without human intervention mid-process. However, it requires explicit problem de...

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Some of the use cases of MADS:

Automating the creation and training of machine learning models.
Generating predictions and analytical reports with minimal input.
Assisting data scientists in automating repetitive tasks.
Providing non-technical users with an easy way to generate data-driven insights.

Pricing model:

free

Code access:

open-source

Popularity level: 33%

Industries:

Technology Data Science Machine Learning

Tags:

data analysis machine learning automation multi-agent system open-source

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