dssg/triage

General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems

67
/ 100
Established

This toolkit helps data scientists, analysts, and researchers working on social good and public policy projects to build robust risk modeling systems. You provide raw data related to events, people, or places in a PostgreSQL database and a configuration file. It helps you explore different modeling choices, train various machine learning models, and evaluate them to predict risks or outcomes for a target population.

199 stars. Available on PyPI.

Use this if you need to systematically design, train, and evaluate machine learning models for predicting social or policy-related outcomes, ensuring your design choices are rigorously explored and documented.

Not ideal if you're not working with social good or public policy problems, or if you prefer a 'black box' machine learning solution without needing to deeply explore modeling design choices.

public-policy social-justice risk-assessment program-evaluation data-for-good
Maintenance 10 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 22 / 25

How are scores calculated?

Stars

199

Forks

61

Language

Jupyter Notebook

License

Last pushed

Mar 13, 2026

Commits (30d)

0

Dependencies

33

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