Cohort Analysis Python Packages

metricproof

Python analytics QA package that audits KPI formulas, denominators, cohort integrity, population preservation, and cross-table reconciliation.

imperandi

CT/MR imaging preprocessing pipeline for DICOM harmonization, conversion, segmentation, radiomics & cohort building (medical imaging, Python CLI)

dotplot-mcp

Product analytics MCP server for early-stage startups: user behavior analysis, dot plots, aha moment discovery, retention curves, onboarding funnels, churn analysis — YC methodology, works with Claude Code & Cursor

growth-mcp

MCP server for growth marketing - campaign design, retention analysis, churn prediction, A/B testing

clvkit

Buy-till-you-die models for a non-contractual business, in Python that installs. Four dependencies, Python 3.11+, published estimates reproduced in CI.

lifestream

The fastest way to make sense of a transaction log.

pycohortflow

Lightweight cohort flow diagrams built on Matplotlib.

pat2vec

A comprehensive Python package for healthcare data engineering, designed to extract, transform, and feature engineer patient data from CogStack-based EHR datalakes. Enables patient-level aggregation, longitudinal time series construction (up to 25 years retrospective), flexiblefeature engineering (biochemistry, demographics, medications, diagnoses

f27-cohorts

cohorts.py makes generating cohort analysis from raw data a magical experience