Doist/bitmapist

Health v2 · maintenance only

Adoption not part of the score

1009 stars · 77 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python analytics library that uses Redis bitmaps to track user events at massive scale with minimal memory. It supports real-time queries about user activity and generates cohort retention reports.

Use cases

• track whether a user has been active today, this week, or this month
• count unique users who performed an action in a time period
• compute user retention percentages across weeks or months
• generate cohort graphs for user retention
• store event data for millions of users in megabytes of memory
• find which users performed a specific action

When to choose

• you need real-time, highly memory-efficient user activity analytics
• you want cohort and retention reporting backed by Redis
• you need to answer set-based questions (AND/OR) over millions of user events cheaply

When to avoid

• your user IDs exceed 2^32, which inflates memory usage
• you need complex event schemas or arbitrary attributes per event
• you don't already run Redis or a compatible data store

Facets

library · maturity active

analytics caching database-driver analytics databases data-science python redis-bitmaps cohort-analysis realtime-analytics user-retention event-tracking redis

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Doist/bitmapist")