What background jobs tool does Claude Code recommend?

BullMQ is the most-recommended background jobs tool, appearing in 25.5% of responses. The runner-up is Inngest at 23.6%. This is based on 55 extractable responses across 4 project types.

Is background jobs a settled or competitive market in AI recommendations?

Background Jobs is classified as "Competitive" — no single tool dominates (<50%), and the winner often depends on the project stack.

Do different Claude models agree on background jobs tools?

Yes — all three models (Sonnet 4.5, Opus 4.5, Opus 4.6) largely agree on BullMQ as the top background jobs tool.

Background Jobs

Q: Do different Claude models agree on background jobs tools?

Yes — all three models (Sonnet 4.5, Opus 4.5, Opus 4.6) largely agree on BullMQ as the top background jobs tool.

Competitive

55 extractable responses · Winner: BullMQ at 25.5%

JS: BullMQ vs Inngest. Python: Celery vs FastAPI BackgroundTasks. Each ecosystem has its own race.

Overall Breakdown

n=55 extractable responses.

BullMQ14/55 (25.5%) CI: 15.8–38.3%

Inngest13/55 (23.6%) CI: 14.4–36.3%

Celery10/55 (18.2%) CI: 10.2–30.3%

FastAPI BackgroundTasks7/55 (12.7%) CI: 6.3–24%

Also Recommended

Tools that appear as second-choice alternatives or mentions when a different tool is picked as primary. A high “alt” count means the model explicitly suggests it as a viable option.

Tool	Alt picks	Mentions	Total
ARQ	14	0	14
Trigger.dev	10	6	16
BullMQ	11	3	14
Dramatiq	11	3	14
Celery	10	3	13
Inngest	5	2	7
RQ	4	1	5
FastAPI BackgroundTasks	3	3	6

By Stack

Tool preferences differ by language ecosystem. Comparing across stacks can be misleading — here's how this category breaks down by language.

JS/TS

JavaScript / TypeScript

1 repo

BullMQ48.5% avg

Inngest44.8% avg

Trigger.dev10% avg

Custom/DIY10% avg

Python

1 repo

Celery100% avg

FastAPI BackgroundTasks41% avg

Custom/DIY23.6% avg

ARQ23.6% avg

Model-by-Model Comparison

Repo	Sonnet 4.5	Opus 4.5	Opus 4.6
TaskFlowJS/TS Next.js 14, TypeScript, App Router	BullMQ50% Inngest40% Trigger.dev10%	BullMQ55.6% Inngest44.4%	Inngest50% BullMQ40% Custom/DIY10%
DataPipelinePY FastAPI, Python 3.11, Pydantic	Celery100%	FastAPI BackgroundTasks37.5% Custom/DIY25% ARQ25%	FastAPI BackgroundTasks44.4% Custom/DIY22.2% ARQ22.2%

Recency Gradient

BullMQ (2019)

50%

40%

Inngest (2022)

40%

50%

Sonnet 4.5 Opus 4.6

Category 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

What background jobs tool does Claude Code recommend?: BullMQ is the most-recommended background jobs tool, appearing in 25.5% of responses. The runner-up is Inngest at 23.6%. This is based on 55 extractable responses across 4 project types.
Is background jobs a settled or competitive market in AI recommendations?: Background Jobs is classified as "Competitive" — no single tool dominates (<50%), and the winner often depends on the project stack.
Do different Claude models agree on background jobs tools?: Yes — all three models (Sonnet 4.5, Opus 4.5, Opus 4.6) largely agree on BullMQ as the top background jobs tool.