RQ
Simple job queues for Python.
- Status
- Generally available
- Last checked
- Aging · Sep 3, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
RQ is a simple and lightweight library that allows you to easily add background job processing to your Python applications. It's designed to be easy to use, with minimal setup required.
RQ stands out as a lightweight and easy-to-use Python library for adding background job processing to applications, making it ideal for developers who need simplicity without sacrificing essential features.
When it fits — and when it doesn’t
A good fit for
Developers building Python applications who need a simple and lightweight job queue solution
Projects that require background task processing with minimal setup overhead
Teams looking to distribute workload across multiple worker processes for scalability
Look elsewhere if
Applications requiring real-time task execution (RQ is designed for background tasks)
Scenarios where a more complex or feature-rich job queue system is required
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited support for complex job dependencies
RQ does not natively support dependency management between jobs, requiring custom implementations
- 02
Lack of advanced monitoring and visualization tools
Basic metrics are provided, but no built-in dashboard or detailed logging features
- 03
Performance bottlenecks with high concurrency
Redis may become a bottleneck when handling thousands of concurrent jobs
- 04
Small and less active community
Few recent contributions to the open-source repository and limited third-party plugins or integrations
What it does well
Simple setup and usage
Supports Redis as a backend for job storage
Flexible worker management
Built-in support for retries and timeouts
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up RQ
Setup steps, common gotchas and what to check after 30 days.