ARQ
Async job queue for Python on Redis
Python
—
Overall Rank
Not in top 20
0%
Pick Rate
0 of 55 (CI: 0–6.5%)
0
Primary Picks
of 55 extractable
14
Alt Picks
also mentioned 0x
Competitive
Category Tier
25.5% winner dominance
Fable 5 update, July 2026
What Fable Actually Chooses →In the newest edition (810 responses, model claude-fable-5), ARQ takes 5 primary picks, 1 alternative listing, and 4 mentions. The Background Jobs winner in that edition is ARQ at 29%.
In Background Jobs
Full comparison →By Model
Sonnet 4.5
0%
avg across repos
Opus 4.5
25%
avg across repos
Opus 4.6
22.2%
avg across repos
Per-Repo Breakdown
| Repo | Stack | Sonnet | Opus 4.5 | Opus 4.6 |
|---|---|---|---|---|
DataPipelinePython | FastAPI, Python 3.11, Pydantic | — | 25% | 22.2% |
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 ARQ?
- ARQ appears in 0% 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 ARQ?
- Across repos, Sonnet 4.5 averages 0%, Opus 4.5 averages 25%, and Opus 4.6 averages 22.2% for ARQ.