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Log Frequency Analyzer

Events per minute, hour or day — with the peak window and average rate.

Runs entirely in your browser — your logs never leave this page.
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events
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avg / bucket
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peak bucket
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About Log Frequency Analyzer

Event volume over time is the skeleton of every incident. Log Frequency Analyzer counts events per minute, hour or day and shows the buckets, the peak window and the average rate — instant context for any log window.

Feed it the same window in several interval sizes to see both micro-spikes and long-run rhythms.

Features

  • Per minute/hour/day — selectable buckets.
  • Peak bucket — the loudest window.
  • Average rate — per-bucket mean.
  • Broad parsing — ISO/Apache/syslog/epoch.
  • Copyable buckets — chart-ready.

How to Use

  1. Paste log lines with timestamps.
  2. Pick the bucket interval.
  3. Analyze. Bucket counts + peak appear.
  4. Adjust interval to change zoom.

Examples

Example 1 — Hourly rhythm. Per-hour buckets reveal your traffic troughs and peaks in a day of logs.

Example 2 — Micro-burst. Per-minute buckets catch a 200-event second somewhere in a 10-minute window.

Example 3 — Capacity. Average per-bucket rate feeds an autoscaling or queue-depth estimate.

Benefits

  • Volume view — events per unit time.
  • Peak clarity — loudest window.
  • Zoom control — minute to day.
  • Private — all in-browser.

Frequently Asked Questions

What is "frequency" here?
How many events fall into each time bucket — per minute, per hour or per day. It is raw event volume, not errors.
Which timestamps are understood?
ISO 8601 (2025-06-11 14:00:00), Apache brackets [11/Jun/2025:14:00:00 +0000], syslog (Jun 11 14:00:00) and epoch seconds/millis.
Can I see the peak?
Yes — the stats cards report the peak bucket and its count, plus the overall events-per-bucket average.
Are untimed lines counted?
They are tallied as unparsed so your totals stay honest.
Why use this instead of the error rate tool?
This measures ALL volume by time — the error rate tool counts only errors. Use both to see volume vs failures together.