rq-scheduler
Provides job scheduling capabilities to RQ (Redis Queue)
Decision gist · record as of 2026-08-14
Yes, if you are already using RQ and need scheduling. The package is stable with no known vulnerabilities and low install friction. The aging maintenance status (654 days since last release) is a minor concern for new projects, but acceptable for established deployments where RQ is already the queue choice. Verify that the cron and scheduling semantics match your use case before committing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a running Redis server and a separate scheduler process polling Redis to move jobs into queues at their scheduled times.
- Low install friction with a pure-Python wheel distribution.
- Maintenance status is aging—last release was 654 days ago—but the repository remains active and unarchived with 1516 stars, suggesting stable ongoing use despite infrequent updates.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing commercial and private use with minimal restrictions; you may use this package freely in most contexts.
last release 2024-10-29 (654 days) · last repo commit 2025-05-17 · 1,516 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 678,504 downloads/mo, #5,376 on PyPI
Alternatives
Verify before relying
pip install rq-scheduler
from rq_scheduler import Scheduler
from rq import Queue
from datetime import datetime
scheduler = Scheduler(connection=connection)
scheduler.enqueue_at(datetime(2025, 1, 1), my_function, arg1, kwarg1=value1)- Whether the 654-day gap since last release indicates sufficient maintenance for production use in your environment.
- Performance characteristics when scheduling large numbers of jobs or under high concurrency.
- Whether Redis connectivity and a separate scheduler process are prerequisites for your deployment model.
What it is and what it does
RQ Scheduler extends RQ (a Redis-backed job queue) with the ability to schedule jobs for future execution. Instead of enqueueing work immediately, you can specify when a job should run—either at an absolute datetime, after a relative delay, on a repeating interval, or via cron expressions. The package handles two main workflows: you define scheduled jobs using methods like `enqueue_at`, `enqueue_in`, `schedule`, or `cron`, then run a separate scheduler process that polls Redis and moves jobs into the appropriate queue when their time arrives.
The package depends on RQ for the core queue abstraction, crontab for parsing cron expressions, python-dateutil for date handling, and freezegun for testing. It supports Python 3.8 through 3.12 and is classified as Beta. Because scheduling is separate from job execution, you need both a scheduler process and RQ worker processes running to make scheduled jobs actually execute.
Use it for
- Schedule a report to generate and email at a specific time each day using a cron expression.
- Delay a notification or cleanup task to run 10 minutes after a user action, using `enqueue_in`.
- Retry a failed API call after a fixed interval by scheduling it to run again later.
- Run a periodic health check or data sync every hour across multiple intervals.
- Cancel or inspect jobs that have already been scheduled but not yet executed.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using RQ and need scheduling.
The package is stable with no known vulnerabilities and low install friction. The aging maintenance status (654 days since last release) is a minor concern for new projects, but acceptable for established deployments where RQ is already the queue choice. Verify that the cron and scheduling semantics match your use case before committing.
Install
rq-scheduler on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Maintenance status is aging—last release was 654 days ago—but the repository remains active and unarchived with 1516 stars, suggesting stable ongoing use despite infrequent updates.
Requires a running Redis server and a separate scheduler process polling Redis to move jobs into queues at their scheduled times.
License in practice
MIT license is permissive, allowing commercial and private use with minimal restrictions; you may use this package freely in most contexts.
Quickstart
pip install rq-scheduler
from rq_scheduler import Scheduler
from rq import Queue
from datetime import datetime
scheduler = Scheduler(connection=connection)
scheduler.enqueue_at(datetime(2025, 1, 1), my_function, arg1, kwarg1=value1)Verify before relying
- Whether the 654-day gap since last release indicates sufficient maintenance for production use in your environment.
- Performance characteristics when scheduling large numbers of jobs or under high concurrency.
- Whether Redis connectivity and a separate scheduler process are prerequisites for your deployment model.
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagescrontabrqpython-dateutilfreezegun |
| Maintenance | Aging 654 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 678,504 / month, #5,376 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: ConsoleIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python Modules |
Evidence: rq_scheduler-0.14.0-py2.py3-none-any.whl
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