Comparison

Celery - Distributed Task Queue vs RQ: Simple job queues for Python

Celery - Distributed Task Queue and RQ: Simple job queues for Python both land on Worth it.

Celery - Distributed Task Queue

Worth it

Confidence: Medium

Python teams moving real async or scheduled workload volume should use it . it's free, mature, and feature-rich.

Worth it

Confidence: Medium

Buy if you're a Python team that already runs Redis and needs straightforward background jobs . it's free and fast to adopt.

Celery - Distributed Task Queue versus RQ: Simple job queues for Python
Compare	Celery - Distributed Task Queue	RQ: Simple job queues for Python
Verdict	Worth it	Worth it
Best for	High-volume Python async workloads	Python teams needing background jobs
Who it's not for	Simple cron jobs . your OS scheduler suffices	Teams needing complex routing, scheduling, or guaranteed delivery
Privacy	No active exploits for v5.6.3 found; 4 vulnerabilities catalogued historically, including a pre-5.2 command-injection CVE.^⁷	No known public vulnerabilities found in the sources reviewed.¹⁵
Support quality	Community-only; no paid support evidence found	Community GitHub issues only, no vendor SLA
Public sentiment	Users praise Celery as an easy, well-documented async job queue and scheduler, though newcomers report performance struggles.^⁴	RQ appears widely across Python awesome-lists and comparison sites as the go-to simple queue, but no substantive written user reviews surfaced.¹⁴
Biggest gotcha	Stored command injection (CVE-2021-23727) affected all versions before 5.2 . stay current.^⁷	You own Redis ops: persistence, failover, monitoring. That hidden cost is what 'simple' omits.