seismometer - AI Model Development Tool

Overview

seismometer is an open-source Python package for evaluating AI model performance with a focus on healthcare. It provides templates and tools to analyze statistical performance, fairness, and the impact of interventions on outcomes using local patient data. Although designed for healthcare, it can be used to validate models in other fields.

Key Features

• Open-source Python package for evaluation workflows
• Templates for statistical performance evaluation
• Fairness assessment tools and metrics
• Intervention impact analysis using local outcome data
• Reusable, reproducible evaluation templates and reports

Ideal Use Cases

• Validate clinical risk prediction models on local patient cohorts
• Assess algorithmic fairness across demographic groups
• Measure intervention effects on health outcomes
• Benchmark model updates before deployment
• Adapt evaluation workflows for non-healthcare model validation

Getting Started

• Clone the repository from the project's GitHub
• Install the package and Python dependencies
• Prepare and load local patient data for evaluation
• Run provided evaluation templates and scripts on your datasets
• Review generated performance, fairness, and impact reports

Pricing

Open-source package; no pricing disclosed in the repository.

Limitations

• Primarily designed for healthcare evaluations; non-healthcare adaptation may require extra configuration
• Requires access to local patient or domain data for meaningful results
• Assumes users have Python and data analysis proficiency
• Focuses on evaluation; it does not replace model development workflows

Key Information

• Category: Model Development
• Type: AI Model Development Tool