Ross ROSS = Recommend OSS · open-source software intelligence for agents

Celery

Distributed Task Queue (development branch) observed · 2026-10-10

github.com/celery/celery · homepage · Python · NOASSERTION (other) observed · 2026-10-10

Health v2 · maintenance only

89/100

  • Activity 99
  • Release rhythm 69
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 29
  • age_days: 6388
  • days_rel: 208
  • days_push: 11
  • n_releases_24m: 8

Full methodology

Adoption not part of the score

28937 stars · 5208 forks observed · 2026-10-10

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-05, confidence 0.98

Celery is a Python library that provides a distributed task queue for asynchronous job processing. It supports multiple brokers, result backends, and offers tools for monitoring and scheduling tasks.

Use cases

  • run background jobs from a web application
  • schedule periodic tasks like cron jobs
  • process large data pipelines asynchronously
  • offload heavy computations to worker processes
  • integrate task queues with Django or Flask apps
  • scale out workers across multiple machines

When to choose

  • you need a mature, battle‑tested async task system for Python
  • your architecture requires reliable message brokering (RabbitMQ, Redis, SQS, etc.)
  • you want built‑in support for task retries, result storage, and monitoring
  • you plan to run many workers and need horizontal scaling

When to avoid

  • you need ultra‑low latency real‑time processing where a message queue adds overhead
  • your project is a simple script that doesn't justify a separate broker
  • you are targeting Windows environments without using WSL or containers
  • you prefer a pure Go/Node/Rust solution instead of Python

Facets

library · maturity active

message-queue backend web-development python celery distributed async broker redis rabbitmq django-integration task-scheduling worker-management data-engineering linux macos docker

10 sources

Member repositories

For agents

markdown · JSON · MCP: product_card(name="celery/celery")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem