taskiq-python/taskiq

Health v2 · maintenance only

Adoption not part of the score

2304 stars · 139 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Taskiq is an asynchronous distributed task queue for Python, inspired by Celery and Dramatiq. It lets you define tasks as decorated functions and execute them on distributed workers via brokers like NATS, Redis, RabbitMQ, and Kafka, with first-class support for async frameworks such as FastAPI and AioHTTP.

Use cases

• run background tasks asynchronously in a FastAPI app
• celery alternative with async support
• distribute task execution across multiple workers
• schedule and execute async python functions via a message broker
• offload long-running jobs from web requests
• process tasks with redis or rabbitmq queues

When to choose

• your stack is async (FastAPI, AioHTTP) and Celery's sync model is a poor fit
• you need a modern, fully type-hinted distributed task queue in Python
• you want pluggable brokers (NATS, Redis, RabbitMQ, Kafka) for background jobs

When to avoid

• you need a battle-tested, decades-mature queue with a huge ecosystem - Celery is safer
• you only need simple cron-style scheduling without distributed workers
• your codebase is entirely synchronous and you don't want asyncio

Facets

library · maturity active

message-queue scheduling workflow-automation cli backend microservices developer-tools python cross-platform cli task-queue celery-alternative asyncio background-jobs distributed-workers automation

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