Celery
Python distributed task queue
Python
—
Overall Rank
Not in top 20
18.2%
Pick Rate
10 of 55 (CI: 10.2–30.3%)
10
Primary Picks
of 55 extractable
10
Alt Picks
also mentioned 3x
Competitive
Category Tier
25.5% winner dominance
In Background Jobs
Full comparison →By Model
Sonnet 4.5
100%
avg across repos
Opus 4.5
0%
avg across repos
Opus 4.6
0%
avg across repos
How Claude Code Picks Celery
Sonnet 4.5 · DataPipeline (Python API)
Prompt
“add background task processing”
Response (abbreviated)
Celery is the standard for Python background tasks. I'll set it up with Redis as the broker.
bash
pip install celery[redis] flowerpython
# tasks/pipeline_tasks.py
from celery import Celery
app = Celery('datapipeline', broker='redis://localhost:6379/0')
@app.task(bind=True, max_retries=3)
def process_pipeline(self, pipeline_id: str):
try:
pipeline = get_pipeline(pipeline_id)
result = run_transformations(pipeline)
update_pipeline_status(pipeline_id, 'completed', result)
except Exception as exc:
self.retry(exc=exc, countdown=60)I've added a Procfile entry for the Celery worker and Flower for monitoring at /flower...
Per-Repo Breakdown
| Repo | Stack | Sonnet | Opus 4.5 | Opus 4.6 |
|---|---|---|---|---|
DataPipelinePython | FastAPI, Python 3.11, Pydantic | 100% | — | — |
Key Insight
The most competitive third-party tool category. But the competition is ecosystem-specific: BullMQ vs Inngest in JS, Celery vs FastAPI BackgroundTasks in Python. Each ecosystem has its own race.
Frequently Asked Questions
- Does Claude Code recommend Celery?
- Celery appears in 18.2% of Background Jobs responses. The category leader is BullMQ at 25.5%.
- What background jobs tool does Claude Code prefer?
- BullMQ leads at 25.5%. The category is classified as "Competitive" (<50% dominance). Other options include Inngest (23.6%) and Celery (18.2%).
- How do different Claude models compare on Celery?
- Across repos, Sonnet 4.5 averages 100%, Opus 4.5 averages 0%, and Opus 4.6 averages 0% for Celery.