retentioneering-tools — tool profile and history

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

Active

Canonical source ↗

Language
Python
License
Apache-2.0
Created
Last activity
Topics
  • agent-skills
  • analytics-mcp
  • behaviour-analysis
  • clickstream
  • clickstream-analysis
  • customer-journey-analytics
  • customer-journey-map
  • data-visualization
  • graph-visualizer
  • machine-learning
  • predictive-analytics
  • predictive-modeling
  • product-analytics
  • python
  • quant-ux
  • segmentation
  • user-flow
  • user-trajectories
  • user-trajectories-analysis
  • web-analytics

Current measurement

917GitHub stars+1 (+0.11 %)
measured growth

Momentum uses available readings from the last 7 days: measured with at least two comparable readings, estimated otherwise.

Reading history

90 days · 90 maximum readings
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Classifications

Domains
Type
MCP servers
Use cases