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{ name = "Retentioneering User Trajectory Analysis Lab", email = "retentioneering@gmail.com" },
]
description = "Open-source Python toolkit, MCP server, and agent skills for reproducible product and quantitative UX analytics on clickstream and event logs: multiscale interactive user-flow graphs, customer journeys and user flow analysis, behavioral segmentation, A/B tests, process mining, and Markov models"
readme = "README.md"
requires-python = ">=3.10"
license = "Apache-2.0"
keywords = [
"product analytics",
"clickstream analytics",
"event log analysis",
"behavioral analytics",
"customer journey analytics",
"user journey analysis",
"user flow analysis",
"quantitative UX",
"multiscale analytics",
"session analysis",
"funnel analysis",
"retention analysis",
"conversion analysis",
"what if cjm analysis",
"behavioral segmentation",
"path analysis",
"graph analytics",
"process mining",
"A/B testing",
"retentioneering",
"Markov chains",
"reproducible analytics",
"auditable analytics",
"MCP server",
"agent skills",
"AI agents",
]
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Intended Audience :: Information Technology",
"Framework :: Jupyter",
"Framework :: Jupyter :: JupyterLab",
"Framework :: IPython",
"Topic :: Scientific/Engineering :: Information Analysis",