Search 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.

localqueue

Durable local queues for Python, with persistent retry state powered by Tenacity.

atasker

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

sosw

Serverless Orchestrator of Serverless Workers for AWS - Worker

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

rqmonitor

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

neotasker

Lightweight workers and task management library for Python

booltest

BoolTest - polynomial randomness tester

machineid-io

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

worker-dispatcher

A lightweight Python concurrency framework to orchestrate multi-threaded and multi-processed tasks with a unified API.

ippy

:rocket: Ping IP addresses and domains in parallel to find the accessible and inaccessible ones.

django-inngest

Missing Django integration for Inngest

pool-workers

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

flower-with-timeline

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

flower-patch

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

futurepool

FuturePool is a package that introduce known concept of multiprocessing Pool to the async/await world. 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.

flower-new

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

flower-custom

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

flowest

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

queuectl

⚡ A production-grade CLI job queue with workers, retries, webhooks, cron scheduling, and a real-time dashboard.