Taskiq

Spec sheet

Purpose

Taskiq is a library for sending and processing Python functions in a distributed manner.Read 1 Oct 2026 · taskiq-python.github.io

Support

The contribution guide directs people needing help to open an issue, start a discussion, or publish a draft pull request with their question.Read 30 Sep 2026 · taskiq-python.github.io

License

The project homepage identifies Taskiq as MIT licensed.Read 30 Sep 2026 · taskiq-python.github.io

AioHTTP integration

The taskiq-aiohttp library enables reuse of AioHTTP application dependencies in Taskiq tasks.Read 1 Oct 2026 · taskiq-python.github.io

Async execution

Taskiq can run both synchronous and asynchronous functions.Read 1 Oct 2026 · taskiq-python.github.io

Async support

Taskiq supports async functions and can also run synchronous functions.Read 30 Sep 2026 · taskiq-python.github.io

Broker integrations

Official broker integrations include RabbitMQ, Redis, NATS, SQS and Kafka.Read 1 Oct 2026 · taskiq-python.github.io

Broker options

Officially supported broker packages include RabbitMQ, Redis, NATS, SQS, and Kafka options.Read 30 Sep 2026 · taskiq-python.github.io

CLI

The core library includes a command-line interface with worker and scheduler commands.Read 1 Oct 2026 · taskiq-python.github.io

Extensibility

Taskiq is modular, with replaceable components and support for implementing custom brokers or middleware.Read 1 Oct 2026 · taskiq-python.github.io

FastAPI integration

The taskiq-fastapi library enables reuse of FastAPI dependencies in Taskiq tasks.Read 1 Oct 2026 · taskiq-python.github.io

License and Python

The core taskiq package is MIT licensed and requires Python 3.10 or newer.Read 1 Oct 2026 · github.com

Local broker limit

InMemoryBroker is intended for local development and cannot be used in a real-world networked scenario.Read 1 Oct 2026 · taskiq-python.github.io

Observability

Taskiq documents Prometheus metrics and OpenTelemetry tracing for workers.Read 30 Sep 2026 · taskiq-python.github.io

Project limitation

Taskiq is not a drop-in replacement for other task managers and the documentation says it does not work for fully synchronous projects.Read 30 Sep 2026 · taskiq-python.github.io

Result backends

Official result backends include Redis, NATS and S3, while third-party options include PostgreSQL, S3 and YDB.Read 1 Oct 2026 · taskiq-python.github.io

Result storage

Result backends can store task return values and execution times; official packages include Redis and NATS backends.Read 30 Sep 2026 · taskiq-python.github.io

Retries

Its middleware includes retry options with retry limits, delays, jitter, exponential backoff, and exception-specific behavior.Read 30 Sep 2026 · taskiq-python.github.io

Scale limitation

The ZeroMQ broker documentation recommends one worker process because multiple worker processes may each execute the same task.Read 30 Sep 2026 · taskiq-python.github.io

Scheduling

Taskiq supports cron and time-based task scheduling through TaskiqScheduler and schedule sources.Read 1 Oct 2026 · taskiq-python.github.io

Scheduling limitation

The scheduler sends scheduled tasks to a broker but does not execute them, and the documentation advises running only one scheduler instance.Read 30 Sep 2026 · taskiq-python.github.io

Synchronous-project limit

The documentation says Taskiq does not work for fully synchronous projects and recommends Celery or Dramatiq for them.Read 1 Oct 2026 · taskiq-python.github.io

Testing

Taskiq documents using an in-memory broker to test tasks without connecting to a distributed broker.Read 30 Sep 2026 · taskiq-python.github.io

Typing

Taskiq provides type hints and strongly typed functionality with autocompletion support.Read 1 Oct 2026 · taskiq-python.github.io

ZeroMQ limit

ZeroMQBroker is suitable for small projects with only one worker process because multiple workers can execute each task repeatedly.Read 1 Oct 2026 · taskiq-python.github.io

Where Specifiction places it

• Task Queue Software#32 of 377.2