Trifle – Open-source analytics that stores answers, not events

In plain words

Trifle is an open-source time-series analytics library that aggregates nested counters instead of storing raw events, using existing databases like PostgreSQL, MongoDB, or Redis. Designed for developers building analytics into applications, it tracks events by incrementing pre-defined time buckets with each write rather than storing individual records. The library supports multiple database drivers and has been refined over a decade to handle high-volume analytics at scale.

written from the facts on this page · September 2026

From the sources

Track what matters. Skip the infrastructure. Minimal time-series metrics that work with your existing database.

Track counters, revenue, and hierarchical data across Ruby, Elixir, and Go. # Track any metric in a single call Trifle::Stats . track ( key: 'orders' , at: Time .now, values: { count: 1 , revenue: 99.0 , country: { us: 1 }, channel: { web: 1 } } ) Case Study How DropBot tracks 80M+ daily calculations Read the full case study 80M+ Products calculated daily "With Trifle, we went from zero visibility into our pricing pipeline to catching anomalies before customers notice. The combination of Stats and Traces gives us both the big picture and the ability to drill into individual job executions." From library to dashboard to CLI. Ready for humans or agents at any time. Minimal time-series metrics…from trifle.io

In the maker’s words, at launch

Trifle is an open-source time-series analytics library that aggregates nested counters instead of storing raw events. All in the database you already have. After rebuilding it twice over 10 years, it now tracks ~1B events a day at my day job. It started in 2015 as my own Rails APM. I plugged into…

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