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Taskiq

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What Taskiq is

Taskiq is a free, MIT-licensed Python library for distributing and processing functions across workers. It runs asynchronous functions and can also execute synchronous ones, with type hints, autocompletion, and command-line worker and scheduler commands. The core includes brokers, distributed-task features, and extension points for custom brokers and middleware. Official broker packages support RabbitMQ, Redis, NATS, SQS, and Kafka. Result backends include Redis, NATS, and S3, with additional third-party choices. Tasks can run on cron, interval, or specific-time schedules. Retry middleware offers limits, delays, jitter, exponential backoff, and exception-specific behavior. Documentation covers Prometheus metrics, OpenTelemetry tracing, and in-memory testing. FastAPI and AioHTTP integrations reuse application dependencies. Taskiq is self-hosted, supports Linux, macOS, and Windows, and requires Python 3.10 or newer. It is not intended as a drop-in replacement for other task managers or for fully synchronous projects.

Who it suits

It suits Python developers building self-hosted distributed task systems, especially projects using asynchronous code and configurable brokers. It can integrate with FastAPI or AioHTTP applications.

What it does well

  • Free MIT-licensed Python package
  • Supports asynchronous and synchronous functions
  • Offers several official broker integrations
  • Includes scheduling and retry controls
  • Documents metrics and tracing support

What to know first

  • Requires Python 3.10 or newer
  • Does not support fully synchronous projects
  • In-memory broker is for local development
  • ZeroMQ use is limited to one worker

Verdict

Taskiq provides Python-native distributed execution with brokers, scheduling, retries, integrations, and observability options. Its documented limits make project architecture and worker choices important.

Facts from Taskiq's own pages

AioHTTP integration
The taskiq-aiohttp library enables reuse of AioHTTP application dependencies in Taskiq tasks. · taskiq-python.github.io, 1 Oct 2026
Async execution
Taskiq can run both synchronous and asynchronous functions. · taskiq-python.github.io, 1 Oct 2026
Async support
Taskiq supports async functions and can also run synchronous functions. · taskiq-python.github.io, 30 Sept 2026
Broker integrations
Official broker integrations include RabbitMQ, Redis, NATS, SQS and Kafka. · taskiq-python.github.io, 1 Oct 2026
Broker options
Officially supported broker packages include RabbitMQ, Redis, NATS, SQS, and Kafka options. · taskiq-python.github.io, 30 Sept 2026
CLI
The core library includes a command-line interface with worker and scheduler commands. · taskiq-python.github.io, 1 Oct 2026
Extensibility
Taskiq is modular, with replaceable components and support for implementing custom brokers or middleware. · taskiq-python.github.io, 1 Oct 2026
FastAPI integration
The taskiq-fastapi library enables reuse of FastAPI dependencies in Taskiq tasks. · taskiq-python.github.io, 1 Oct 2026
License
The project homepage identifies Taskiq as MIT licensed. · taskiq-python.github.io, 30 Sept 2026
License and Python
The core taskiq package is MIT licensed and requires Python 3.10 or newer. · github.com, 1 Oct 2026
Local broker limit
InMemoryBroker is intended for local development and cannot be used in a real-world networked scenario. · taskiq-python.github.io, 1 Oct 2026
Observability
Taskiq documents Prometheus metrics and OpenTelemetry tracing for workers. · taskiq-python.github.io, 30 Sept 2026
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. · taskiq-python.github.io, 30 Sept 2026
Purpose
Taskiq is a library for sending and processing Python functions in a distributed manner. · taskiq-python.github.io, 1 Oct 2026
Result backends
Official result backends include Redis, NATS and S3, while third-party options include PostgreSQL, S3 and YDB. · taskiq-python.github.io, 1 Oct 2026
Result storage
Result backends can store task return values and execution times; official packages include Redis and NATS backends. · taskiq-python.github.io, 30 Sept 2026
Retries
Its middleware includes retry options with retry limits, delays, jitter, exponential backoff, and exception-specific behavior. · taskiq-python.github.io, 30 Sept 2026
Scale limitation
The ZeroMQ broker documentation recommends one worker process because multiple worker processes may each execute the same task. · taskiq-python.github.io, 30 Sept 2026
Scheduling
Taskiq supports cron and time-based task scheduling through TaskiqScheduler and schedule sources. · taskiq-python.github.io, 1 Oct 2026
Scheduling limitation
The scheduler sends scheduled tasks to a broker but does not execute them, and the documentation advises running only one scheduler instance. · taskiq-python.github.io, 30 Sept 2026
Support
The contribution guide directs people needing help to open an issue, start a discussion, or publish a draft pull request with their question. · taskiq-python.github.io, 30 Sept 2026
Synchronous-project limit
The documentation says Taskiq does not work for fully synchronous projects and recommends Celery or Dramatiq for them. · taskiq-python.github.io, 1 Oct 2026
Testing
Taskiq documents using an in-memory broker to test tasks without connecting to a distributed broker. · taskiq-python.github.io, 30 Sept 2026
Typing
Taskiq provides type hints and strongly typed functionality with autocompletion support. · taskiq-python.github.io, 1 Oct 2026

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