# Celery

**Canonical:** https://apis.io/providers/celery/  
**Website:** https://docs.celeryq.dev/  
**APIs profiled:** 8

Celery is an open-source distributed task queue for Python. It allows you to run tasks asynchronously in the background, enabling scalable distributed systems with support for multiple message brokers (RabbitMQ, Redis, Amazon SQS) and result backends. Celery provides a rich set of Python programming APIs for defining tasks, composing workflows, scheduling periodic work, executing on workers, and monitoring execution.

## Kin Score — 19.6 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 19.6).

| Facet | Score |
|---|---|
| Discoverability | 64.8 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 28.9 |
| Developer Ergonomics | 31.0 |
| Commercial Clarity | 15.8 |
| Access Clarity | 15.8 |

## Agent readiness — 3.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Freemium — onboarding: unknown, pricing: freemium, trial: no (confidence: medium).

## APIs (8)

- **Celery Task API** — Core API for defining and executing distributed tasks in Celery. Supports task decorators, retries, timeouts, rate limiting, and custom task classes.
- **Celery Application API** — Application configuration and initialization API for Celery, used to configure brokers, result backends, serialization, routing, and task discovery.
- **Celery Canvas API** — Canvas is Celery's workflow composition API for building complex task orchestrations using signatures, chains, groups, chords, maps, starmaps, and chunks.
- **Celery Beat API** — Celery Beat is the scheduler for periodic tasks, supporting crontab-style schedules, interval schedules, and solar schedules. It can also be backed by a database scheduler for d...
- **Celery Worker API** — Worker API for executing distributed tasks with configurable concurrency (prefork, gevent, eventlet, solo, threads), autoscaling, remote control, and signal handling.
- **Celery Result Backend API** — Result backend API for storing and retrieving task results and state using backends such as Redis, RPC, database, Memcached, Cassandra, and S3.
- **Celery Signals API** — Signals API for hooking into Celery lifecycle events including task, worker, beat, and consumer signals to build extensions and observability.
- **Celery Monitoring and Events API** — Event streaming and monitoring API for inspecting workers, tasks, and queues. Supports the curses-based celery events monitor and third-party tools such as Flower.

## Security (1)

- **Celery Domain Security** — TLSv1.3 · DNSSEC

## Plans (1)

- **Celery Plans Pricing**

## Tags

Asynchronous, Distributed Systems, Message Queue, Open-Source, Python, Task Queue

---

Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/celery/). Scores are computed from the provider's own public artifacts under a published rubric.