celery-alternative

Supercharge your async applications with tasks so fast, you’ll think you’re bending time itself.

Distributed task execution platform with an asynchronous REST API, PostgreSQL-backed scheduling, Redis-based dispatch, and horizontally scalable stateless workers.

⚡ The task queue that works out of the box — no Redis, no RabbitMQ, just pip install and go.

No Redis. No RabbitMQ. Just Python.

Lightweight distributed Python task queue powered by Redis. A simple Celery/RQ alternative with zero deployment.

Asynchronous task queue and scheduler for Python, where one task runs on exactly one worker. Pure asyncio — no broker, no scheduler process, no leader election.

Fault-tolerant distributed job queue using FastAPI, Redis & PostgreSQL. Supports async workers, dead-letter queues, and real-time Prometheus monitoring.

Durable background job/task queue in pure Python. Retries, backoff, scheduling, priorities, dead-letter, multi-worker. Zero dependencies, no broker.

Lightweight async task queue for Python (PostgreSQL-backed, no Redis)

A Python task queue whose workers hold a memory ceiling you set — without losing a task. Rust supervisor, Redis or Postgres.

Distribute code through Redis for serverless task execution on workers without manual deployments.