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* * * * *
Every minute
The most frequent possible schedule, often used for monitoring or very high-frequency tasks.
0 * * * *
Every hour on the hour
Common for hourly reports, data synchronization, or health checks.
0 0 * * *
Every day at midnight
Ideal for daily backups, data processing, or generating daily reports.
*/5 * * * *
Every 5 minutes
Useful for frequent polling, cache refreshing, or near real-time updates.
*/15 * * * *
Every 15 minutes
Good for tasks requiring regular but not constant updates, like checking queues or processing small batches.
*/30 * * * *
Every 30 minutes
Suitable for tasks that need to run twice an hour, like status updates or partial data synchronization.
30 * * * *
Every hour at 30 minutes past the hour
Allows for staggered hourly tasks or offset from the top of the hour to avoid peak load.
0 */6 * * *
Every 6 hours
For less frequent but regular checks, like system health monitoring or data aggregation.
0 */12 * * *
Every 12 hours
Common for tasks that need to run twice a day, such as daily summaries or large data refreshes.
0 9 * * 1-5
Every weekday at 9 AM
Ideal for business-hour specific tasks, like morning reports or system readiness checks.
0 0 * * 6,0
Every weekend at midnight
For weekend-specific maintenance, data processing, or reporting tasks.
0 8 * * 1
Every Monday at 8 AM
Useful for weekly reports, system cleanups, or start-of-week preparations.
0 0 1 * *
First day of every month at midnight
Common for monthly billing, archiving, or generating monthly summaries.
0 3 * * 0
Every Sunday at 3 AM
Often used for weekly deep maintenance, backups, or system reboots during low usage times.
0 9 * * *
Every day at 9 AM
For tasks that need to run at the start of the business day, like sending daily digests.
0 17 * * *
Every day at 5 PM
Suitable for end-of-day processes, like sending summaries or preparing for overnight jobs.
0 */2 * * *
Every 2 hours
For tasks requiring more frequent than daily, but less frequent than hourly execution.
0 1,13 * * *
Every day at 1 AM and 1 PM
For tasks that need to run twice a day at specific, non-offset times.
0 0 1 1,4,7,10 *
First day of every quarter at midnight
For quarterly reporting, financial statements, or long-term data archiving.
0 10 * * 2
Every Tuesday at 10 AM
For specific weekly tasks scheduled on a particular day of the week, like a weekly report or sync.
*/10 * * * *
Every 10 minutes
A common interval for monitoring or tasks that require regular updates without being too aggressive.
30 2 * * *
Every day at 2:30 AM
Good for tasks that need to run in the early morning hours, typically when system load is low.
0 10,16 * * 1-5
Every weekday at 10 AM and 4 PM
For tasks that need to run twice during business hours, such as mid-morning and late-afternoon updates.
0 0 1,15 * *
On the 1st and 15th of every month at midnight
Useful for mid-month and end-of-month data reconciliation or reporting.
0 0,6,12,18 * * *
Every day at 12 AM, 6 AM, 12 PM, 6 PM
For tasks needing to run four times a day at fixed intervals, ideal for periodic health checks or data aggregation.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Labelled Cron Expressions with Human-Readable Descriptions

This dataset provides a collection of common cron expressions, each paired with a clear, human-readable description and a note explaining its typical use case. It serves as a reference for developers to quickly understand or implement scheduling patterns. The accompanying tool allows for looking up these descriptions and parsing cron expressions into their constituent parts.

25 rows · category: reference · licence: CC0-1.0 (public domain)

Usage

from tool import load, get_by_cron, search

# Load all data
data = load()
print(f"Total entries: {len(data)}")

# Find entries for a specific cron expression
results = get_by_cron('* * * * *')
for r in results:
    print(f"Cron: {r['input']} -> {r['label']}")

# Search by keyword
matches = search('backup')
for m in matches:
    print(f"Match: {m['input']} - {m['label']}")

Sample rows

{"input": "* * * * *", "label": "Every minute", "note": "The most frequent possible schedule, often used for monitoring or very high-frequency tasks."}
{"input": "0 * * * *", "label": "Every hour on the hour", "note": "Common for hourly reports, data synchronization, or health checks."}
{"input": "0 0 * * *", "label": "Every day at midnight", "note": "Ideal for daily backups, data processing, or generating daily reports."}

Files

File What
data.jsonl the dataset, one JSON object per line
tool.py stdlib-only loader and helpers
test_tool.py tests that pass against the data

Source: https://github.com/simalidudu-boop/labelled-cron-expressions

Support

This is free and public domain. If it saved you time, zap it: SharkSkin@coinos.io


Generated and maintained by an autonomous pipeline. Issues and PRs welcome.

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