Celery
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.
8 APIs
0 Features
AsynchronousDistributed SystemsMessage QueueOpen SourcePythonTask Queue
Core API for defining and executing distributed tasks in Celery. Supports task decorators, retries, timeouts, rate limiting, and custom task classes.
Application configuration and initialization API for Celery, used to configure brokers, result backends, serialization, routing, and task discovery.
Canvas is Celery's workflow composition API for building complex task orchestrations using signatures, chains, groups, chords, maps, starmaps, and chunks.
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...
Worker API for executing distributed tasks with configurable concurrency (prefork, gevent, eventlet, solo, threads), autoscaling, remote control, and signal handling.
Result backend API for storing and retrieving task results and state using backends such as Redis, RPC, database, Memcached, Cassandra, and S3.
Signals API for hooking into Celery lifecycle events including task, worker, beat, and consumer signals to build extensions and observability.
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.
aid: celery
url: https://raw.githubusercontent.com/api-evangelist/celery/refs/heads/main/apis.yml
name: Celery
tags:
- Asynchronous
- Distributed Systems
- Message Queue
- Open Source
- Python
- Task Queue
type: Index
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
access: Open Source
created: '2024-01-15'
modified: '2026-04-23'
position: Consumer
specificationVersion: '0.19'
description: >-
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.
apis:
- aid: celery:celery-task-api
name: Celery Task API
tags:
- Python
- Task Queue
- Tasks
humanURL: https://docs.celeryq.dev/en/stable/userguide/tasks.html
properties:
- url: https://docs.celeryq.dev/en/stable/userguide/tasks.html
type: Documentation
- url: https://docs.celeryq.dev/en/stable/reference/celery.app.task.html
type: Reference
- url: https://docs.celeryq.dev/en/stable/getting-started/
type: GettingStarted
description: >-
Core API for defining and executing distributed tasks in Celery. Supports
task decorators, retries, timeouts, rate limiting, and custom task classes.
- aid: celery:celery-application-api
name: Celery Application API
tags:
- Application
- Configuration
humanURL: https://docs.celeryq.dev/en/stable/userguide/application.html
properties:
- url: https://docs.celeryq.dev/en/stable/userguide/application.html
type: Documentation
- url: https://docs.celeryq.dev/en/stable/reference/celery.html
type: Reference
- url: https://docs.celeryq.dev/en/stable/userguide/configuration.html
type: Configuration
description: >-
Application configuration and initialization API for Celery, used to configure
brokers, result backends, serialization, routing, and task discovery.
- aid: celery:celery-canvas-api
name: Celery Canvas API
tags:
- Workflows
- Chains
- Groups
- Chords
humanURL: https://docs.celeryq.dev/en/stable/userguide/canvas.html
properties:
- url: https://docs.celeryq.dev/en/stable/userguide/canvas.html
type: Documentation
description: >-
Canvas is Celery's workflow composition API for building complex task
orchestrations using signatures, chains, groups, chords, maps, starmaps,
and chunks.
- aid: celery:celery-beat-api
name: Celery Beat API
tags:
- Scheduling
- Periodic Tasks
humanURL: https://docs.celeryq.dev/en/stable/userguide/periodic-tasks.html
properties:
- url: https://docs.celeryq.dev/en/stable/userguide/periodic-tasks.html
type: Documentation
- url: https://docs.celeryq.dev/en/stable/reference/celery.beat.html
type: Reference
description: >-
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 dynamic schedules.
- aid: celery:celery-worker-api
name: Celery Worker API
tags:
- Worker
- Execution
- Concurrency
humanURL: https://docs.celeryq.dev/en/stable/userguide/workers.html
properties:
- url: https://docs.celeryq.dev/en/stable/userguide/workers.html
type: Documentation
- url: https://docs.celeryq.dev/en/stable/reference/celery.worker.html
type: Reference
description: >-
Worker API for executing distributed tasks with configurable concurrency
(prefork, gevent, eventlet, solo, threads), autoscaling, remote control,
and signal handling.
- aid: celery:celery-result-api
name: Celery Result Backend API
tags:
- Results
- State
- Storage
humanURL: https://docs.celeryq.dev/en/stable/userguide/tasks.html#result-backends
properties:
- url: https://docs.celeryq.dev/en/stable/userguide/tasks.html#result-backends
type: Documentation
- url: https://docs.celeryq.dev/en/stable/reference/celery.result.html
type: Reference
description: >-
Result backend API for storing and retrieving task results and state using
backends such as Redis, RPC, database, Memcached, Cassandra, and S3.
- aid: celery:celery-signals-api
name: Celery Signals API
tags:
- Signals
- Events
- Extensions
humanURL: https://docs.celeryq.dev/en/stable/userguide/signals.html
properties:
- url: https://docs.celeryq.dev/en/stable/userguide/signals.html
type: Documentation
- url: https://docs.celeryq.dev/en/stable/reference/celery.signals.html
type: Reference
description: >-
Signals API for hooking into Celery lifecycle events including task,
worker, beat, and consumer signals to build extensions and observability.
- aid: celery:celery-monitoring-api
name: Celery Monitoring and Events API
tags:
- Monitoring
- Events
- Observability
humanURL: https://docs.celeryq.dev/en/stable/userguide/monitoring.html
properties:
- url: https://docs.celeryq.dev/en/stable/userguide/monitoring.html
type: Documentation
- url: https://docs.celeryq.dev/en/stable/reference/celery.events.html
type: Reference
description: >-
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.
common:
- type: Website
url: https://docs.celeryq.dev/
- type: Documentation
url: https://docs.celeryq.dev/en/stable/
- type: Reference
url: https://docs.celeryq.dev/en/stable/reference/index.html
- type: GettingStarted
url: https://docs.celeryq.dev/en/stable/getting-started/
- type: GitHub
url: https://github.com/celery/celery
- type: PyPI
url: https://pypi.org/project/celery/
- type: ChangeLog
url: https://docs.celeryq.dev/en/stable/changelog.html
- type: Community
url: https://github.com/celery/celery/discussions
- type: Issues
url: https://github.com/celery/celery/issues
- type: Contributing
url: https://docs.celeryq.dev/en/stable/contributing.html
- type: License
url: https://github.com/celery/celery/blob/main/LICENSE
maintainers:
- FN: Kin Lane
email: [email protected]