Comparison
Celery alternatives for Python
Celery is the default Python task queue: mature, flexible, and supported by every tutorial. It is also a lot to configure, and it stops at the queue. Shipping code to workers, adding machines, and watching them is left to you.
This page compares the main alternatives on what they give you out of the box, not on raw throughput. Runqy is our project; we say where it is the wrong choice.
Quick picks
Closest drop-in replacement
Dramatiq: actors, retries, priorities and pipelines with a smaller API than Celery.
Simplest Redis queue
RQ: enqueue a function, run a worker. Little to learn, little to configure.
Async apps (FastAPI)
Taskiq: asyncio-native, pluggable brokers, built-in scheduler.
GPU jobs across several machines
Runqy: workers deploy your code from Git, and GPUs are rented and released for you.
What you get out of the box
Features available without writing glue code or adding another service.
| Out of the box | Celery | Dramatiq | RQ | Taskiq | Huey | Runqy |
|---|---|---|---|---|---|---|
| Broker | RabbitMQ, Redis, SQS | RabbitMQ, Redis | Redis, Valkey | Pluggable (Redis, RabbitMQ, NATS…) | Redis, SQLite, memory | Redis |
| Retries | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ per queue |
| Priorities | ✓ broker-dependent | ✓ per actor | ✓ queue order | ~ broker-dependent | ✓ per task | ✓ weighted or strict sub-queues |
| Delayed and periodic jobs | ✓ eta, Beat | ✓ delay | ✓ enqueue_in / at | ✓ scheduler | ✓ periodic_task | ✗ |
| Workflows (chains, groups) | ✓ Canvas | ✓ pipelines, groups | ~ dependencies | ~ add-on | ✓ pipelines | ✗ |
| Web dashboard | ~ Flower, separate | ✗ community tools | ~ rq-dashboard, separate | ✗ community tools | ✗ | ✓ |
| Ships your code to workers | ✗ Docker/CI | ✗ Docker/CI | ✗ Docker/CI | ✗ Docker/CI | ✗ Docker/CI | ✓ git clone + deps |
| Rents and releases GPU machines | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ RunPod, Vast.ai |
| Remote control of running workers | ~ stop consuming, shutdown | ✗ | ✗ | ✗ | ✗ | ✓ drain, code update, upgrade |
| Email alerts | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ |
| Secrets for workers | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ encrypted vaults |
| Worker language | Python | Python | Python | Python | Python | Python SDK, any language over stdin/stdout |
| License | BSD-3 | LGPL-3 | BSD-2 | MIT | MIT | MIT |
✓ built in · ~ partial or limited · ✗ not built in (you add a separate tool or write it yourself)
When to pick each one
Stay with Celery
If you rely on Celery Beat, Canvas workflows (chains, chords, groups), RabbitMQ routing or the size of its ecosystem, the alternatives below will feel smaller. Celery is still the safest choice for a large Django or Flask codebase that already runs it.
Dramatiq
Explicit actors, automatic retries with backoff, per-actor priorities, time limits, pipelines and groups, on RabbitMQ or Redis. A good fit when you want Celery's model with fewer moving parts. Note the LGPL license. No built-in dashboard.
RQ
Redis only, synchronous, minimal. Jobs are plain Python functions. Priorities come from the order in which a worker lists its queues. Pick it for straightforward background jobs in an app that already runs Redis.
Taskiq
Built for asyncio: async tasks, dependency injection, a scheduler and pluggable brokers and result backends. The natural choice for FastAPI services. Younger than the others.
Huey
Small and self-contained: retries, priorities, periodic tasks and pipelines, with Redis or just SQLite. Ideal for a single server or a small Django app.
Runqy
Runqy covers what happens around the queue. Workers fetch their configuration from the server,
clone your task code from Git, install dependencies and start your process. A new commit rolls out
with runqy control code-update, and
GPU machines are rented on RunPod or Vast.ai when the queue fills and released when it is idle. A
dashboard, email alerts and encrypted secrets ship with the server.
It is built for independent jobs such as image generation, LLM inference, scraping or document processing, running on machines you own or rent.
Where Runqy is the wrong choice
- You need periodic jobs or delayed execution: Runqy has no cron or ETA today.
- You need workflows such as chains, groups or chords.
- Your broker must be RabbitMQ or SQS: Runqy uses Redis.
- You want to call Python functions with Python objects: Runqy tasks take and return JSON.
Try Runqy
Open source and self-hosted. Redis, the server and a worker run with one Docker Compose file.