Synthetic Control Python Packages

diff-diff

Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.

statspai

StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.

scpi-pkg

Synthetic Control Methods

syntheticcontrolmethods

A Python package for causal inference using Synthetic Controls

insurance-causal-policy

Causal evaluation of insurance pricing interventions using Synthetic Difference-in-Differences

factor-factory

Domain-agnostic factor-model + analysis-pipeline framework with Protocol-based pluggable engines (DiD, SDID, SCM, RDD, survival, event study, mediation, het-TE, …) and first-class jellycell tearsheet integration.