Workers Python Packages

flower

Real-time monitor and web admin for Celery distributed task queue

rq

Simple job queues for Python

python-pq

Job queue for Python backed by Postgres. Process-per-task fork isolation, transactional enqueueing, periodic tasks, priority queues. No broker required.

meesee

Task queue, Long lived workers for work based parallelization, with processes and Redis as back-end. For distributed computing.

sosw

Serverless Orchestrator of Serverless Workers for AWS - Worker

astraapi

FastAPI-compatible Python web framework with a compiled C++20 core. Built-in multi-process workers, zero-copy I/O, native dependency injection, and WebSocket support. No Starlette. No ASGI server required. Python 3.14+.

atasker

Python library for modern thread / multiprocessing pooling and task processing via asyncio

celery-connectors

Want to handle 100,000 messages in 90 seconds? Celery and Kombu are that awesome - Multiple publisher-subscriber demos for processing json or pickled messages from Redis, RabbitMQ or AWS SQS. Includes Kombu message processors using native Producer and Consumer classes as well as ConsumerProducerMixin workers for relay publish-hook or caching

neotasker

Lightweight thread and asyncio task library

rqmonitor

Flask based more dynamic and actionable frontend dashboard for monitoring Redis Queue 👩🏿‍💻 http://python-rq.org

worker-dispatcher

A flexible task dispatcher for Python with multiple threading or processing control

django-inngest

Scheduled & background tasks will never be the same once you use Inngest. That's why I made this integration. I'm a fan.

localqueue

Durable local queues for Python workers, scripts, and CLI tools.

litestar-queues

Task queues, workers, schedules, and backend integrations for Litestar

booltest

BoolTest - polynomial randomness tester

ippy

Parallel testing of IP addresses and domains in python.

machineid-io

Official Python SDK for MachineID - simple device registration and validation for AI agents.

flower-with-timeline

Real-time monitor and web admin for Celery distributed task queue

flower-new

Real-time monitor and web admin for Celery distributed task queue

flower-patch

Celery Flower

flower-custom

Base Celery Flower 0.9 And Latest Commit

pool-workers

Pool_Workers is a small python package for managing pools, workers, and queues with ease.

futurepool

FuturePool is a package that introduce known concept of multiprocessing Pool to the async/await world, resulting in async workers pool library. It allows for easy translation from multiprocessing to async/await, while keeping the core principle - specified number of workers. FuturePool allows for more flexible usage by providing starimap/starimap_unordered.

flowest

Celery Flower