Customer Journey Analytics Python Packages

retentioneering

Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation

cja-auto-sdr

Adobe Customer Journey Analytics (CJA) Solution Design Reference generator with Data View diff comparison, multi-format output, snapshot tracking, and automated quality validation. Production-ready CLI for analytics governance. (CJA API, read-only)

sdr-visualizer

Static-output visual catalog generator for Adobe Analytics (AA) and Adobe Customer Journey Analytics (CJA) implementations.

sdr-grader

Deterministic, rule-based linter for Adobe Analytics (AA) and Adobe Customer Journey Analytics (CJA) implementations.