# `Excessibility.TelemetryCapture.Analyzers.Memory`
[🔗](https://github.com/lessthanseventy/excessibility/blob/v0.18.1/lib/telemetry_capture/analyzers/memory.ex#L1)

Analyzes memory usage patterns across timeline events.

Detects:
- Memory bloat (large growth between events)
- Memory leaks (3+ consecutive increases)

Uses adaptive thresholds based on timeline statistics to avoid
false positives and work across different test sizes.

## Algorithm

1. Calculate baseline stats (mean, median, std deviation)
2. Calculate median delta between events
3. Detect outliers:
   - Warning: Growth > 3x median delta
   - Critical: Growth > 10x median delta OR size > mean + 2std_dev
4. Detect leaks: 3+ consecutive increases

## Output

Returns findings and statistics:

    %{
      findings: [
        %{
          severity: :warning,
          message: "Memory grew 5.2x between events (45 KB → 234 KB)",
          events: [3, 4],
          metadata: %{growth_multiplier: 5.2, delta_bytes: 189000}
        }
      ],
      stats: %{min: 2300, max: 890000, avg: 145000, median_delta: 12000}
    }

# `analyze`

# `default_enabled?`

# `name`

# `requires_enrichers`

---

*Consult [api-reference.md](api-reference.md) for complete listing*