Simple job queues for Python
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Updated
Apr 17, 2026 - Python
Simple job queues for Python
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
A simple app that provides django integration for RQ (Redis Queue)
Background task queue for Python backed by Redis, a super minimal Celery
Kafka-based Job Queue for Python
Schedule async tasks using redis protocol. Redis/ValKey/Dragonfly or any broker using the redis protocol can be used.
Flask based more dynamic and actionable frontend dashboard for monitoring Redis Queue 👩🏿💻 http://python-rq.org
Distributed task queues for Python using SQL and no orchestrator. Simple. Reliable. Flexible. Transparent.
Create web-APIs for long-running tasks. Job based task handling. Get the result with the job id later. FastTaskAPI creates threaded jobs and job queues on the fly. Router functionality for Runpod. Run services anywhere, be it local, hosted or serverless.
Longbow is a tool for automating simulations on a remote HPC machine. Longbow is designed to mimic the normal way an application is run locally but allows simulations to be sent to powerful machines.
PostgreSQL-backed python task queue
Job queue for Python backed by Postgres. Process-per-task fork isolation, transactional enqueueing, periodic tasks, priority queues. No broker required.
Fair queue implementation using Redis with work stealing and priority scheduling
A job management system for python
⚡ The task queue that works out of the box — no Redis, no RabbitMQ, just pip install and go.
Crash-safe distributed job execution with fencing tokens, lease recovery and deterministic failure validation.
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