Random Schedule Generator

What it does

The Random Schedule Generator produces realistic event schedules — appointments, work shifts, meetings, maintenance windows, or on-call rotations — distributed across a date range of up to 90 days from your chosen start. Each event type carries appropriate details (durations, locations, responsible parties). Up to 10,000 events per run, seeded and independent of the system clock.

Common use cases

• Calendar UI development — month, week, and agenda views populated with believable event density.
• Scheduling system testing — conflict detection, capacity, and reminder logic against varied reproducible schedules.
• Shift and rota demos — staffing dashboards with plausible shift patterns.
• Time-based analytics — utilization and busy-hours charts driven by a controlled event distribution.

Settings

• Event type — appointments, shifts, meetings, maintenance windows, or on-call rotations; each with type-appropriate fields.
• Start date / Date range — the window (1–90 days) events fall in.
• How many — 1 to 10,000 events, exportable as CSV, JSON, NDJSON, TSV, or Markdown.
• Seed — identical seed + settings = identical schedule; output never depends on the current time, so fixtures don’t rot.

Privacy note

Schedules are generated locally in your browser and never uploaded. Every event is fictional — no real people, rooms, or on-call rotations — safe for demos and screenshots.

FAQ

Why does clock-independence matter? Fixtures that use “now” produce different data every run and break golden tests at midnight. These schedules are anchored to your start date, so the same seed gives byte-identical output next month.

Do events overlap? Events are distributed across the range realistically, which includes collisions — exactly what conflict-detection logic needs to meet.

Can I simulate a specific busy week? Narrow the range to 7 days and raise the event count — density scales accordingly. For raw timestamps without event semantics, see Random Datetime.