Alternatives to arq

Hangfire suits developers building .NET or .NET Core applications that need persistent background jobs, scheduling or distributed processing.

Inngest

Inngest suits developers building event-driven workflows, background jobs, or agents who need durable execution and observability.

Gearman suits developers distributing jobs across processes or machines, including multilingual systems and self-hosted deployments.

Faktory

The maker positions the OSS edition for hobbyists and startups, and Enterprise for companies with budgets.

It suits people who want to manage personal to-dos alongside Gmail and Calendar, or coordinate tasks in Google Chat spaces.

IronWorker suits teams that need to run scheduled or event-triggered background tasks in supported languages and Docker containers.

It suits teams already using PostgreSQL who want background jobs without operating another system.

RQ suits Python teams that want to run background jobs using Redis or Valkey and need scheduling, retries, or grouped workflows.

Celery suits Python teams that need self-hosted background processing, retries, dead-letter queues or scheduled jobs.

Django teams that need asynchronous task execution, recurring schedules and task workflows may find it suitable.

It suits Java teams that need to enqueue, schedule, and retry background work on the JVM.

Hatchet

Hatchet suits developers building AI agents, highly parallel workloads, or mission-critical workflows.

River suits Go teams that need database-backed background processing and want jobs tied to transaction completion.

It suits developers building long-running TypeScript or Python workflows, AI agents, and scheduled tasks.