Time-series metrics for Elixir. Track anything (signups, revenue, job durations) using the database you already have. No InfluxDB. No TimescaleDB. Just one call and your existing PostgreSQL, MongoDB, Redis, MySQL, or SQLite.

Part of the Trifle ecosystem. Also available in Ruby and Go.

• No new infrastructure. Uses your existing database. No dedicated time-series DB to deploy, maintain, or pay for.
• One call, many dimensions. Track nested breakdowns (revenue by country by channel) in a single track call. Automatic rollup across dynamic time granularities (1m, 6h, 1d, etc.).
• Library-first. Start with the package. Add Trifle App dashboards, Trifle CLI terminal access, or AI agent integration via MCP when you need them.

def deps do
  [
    {:trifle_stats, "~> 1.0"}
  ]
end

# config/config.exs
config :trifle_stats,
  driver: Trifle.Stats.Driver.Postgres,
  granularities: [:hour, :day, :week, :month]

Trifle.Stats.track("orders", DateTime.utc_now(), %{
  count: 1,
  revenue: 4990,
  revenue_by_country: %{us: 4990},
  revenue_by_channel: %{organic: 4990}
})

Trifle.Stats.values("orders", ~U[2026-02-10 00:00:00Z], DateTime.utc_now(), :day)
#=> %{
#     at: [~U[2026-02-10 00:00:00Z], ~U[2026-02-11 00:00:00Z], ...],
#     values: [%{"count" => 12, "revenue" => 59880, ...}, ...]
#   }

Trifle.Stats.values("orders", from, to, :day)
|> Trifle.Stats.series()
|> Trifle.Stats.Series.transform_average("revenue", "count", "avg_order")
|> Trifle.Stats.Series.aggregate_sum("count")

• Dynamic time granularities. Use any interval like 1m, 10m, 1h, 6h, 1d, 1w, 1mo, 1q, 1y.
• Nested value hierarchies. Track dimensional breakdowns in a single call.
• Pipe-friendly Series API. Chain aggregators, transponders, and formatters.
• Precision mode. Decimal-based arithmetic for financial data.
• Data compatible. Same storage format as the Ruby and Go implementations.

Full guides, API reference, and examples at docs.trifle.io/trifle-stats-ex

Trifle.Stats is the tracking layer. The ecosystem grows with you:

Bug reports and pull requests are welcome on GitHub at https://github.com/trifle-io/trifle_stats.

The package is available as open source under the terms of the MIT License.