Tools/reugn/go-quartz

go-quartz

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The Lens

By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.

Updated Mar 2026

Go-quartz is a lightweight in-process job scheduler. Basically, it's cron but embedded directly in your Go app, no external dependencies needed.

It supports cron expressions, fixed-interval scheduling, and one-off delayed jobs. Jobs run in goroutines, so they're concurrent by default. The API is clean: create a scheduler, define a job, set a trigger, start. That's it.

It's fully free under MIT. No paid tier, no cloud version, no strings. It's a library you import and use. go-quartz is the right choice when your scheduling needs are simple and you don't need durability. Once you need jobs to survive restarts or run across multiple instances, you've outgrown it.

The catch: it's in-process only. If your app restarts, all scheduled state is lost; there's no persistence layer. For durable job scheduling where jobs survive restarts and can be distributed across multiple instances, you need something heavier. Temporal handles complex workflow orchestration. For simpler persistent job queues, look at something like River (for Postgres-backed Go jobs) or Asynq (Redis-backed).

Free vs Self-Hosted vs Paid

fully free

Pricing Breakdown

Free tier: Everything. It's a Go library: import it and use it. MIT licensed, no restrictions.

Self-hosted: N/A: it's an in-process library, not a standalone service. Zero deployment overhead. It runs inside your existing Go application.

Comparison to alternatives:

  • Temporal: Free self-hosted, managed cloud starts at ~$200/mo. Way more powerful but massive operational overhead for simple scheduling
  • Asynq: Free (MIT). Redis-backed task queue for Go, adds persistence but requires Redis
  • robfig/cron: Free (MIT). The other popular Go cron library, simpler API, fewer features
  • xxl-job: Free. Full-featured distributed job scheduler but Java-based, heavier setup

The math: go-quartz costs nothing and adds no infrastructure. If you just need "run this function on a schedule," it's the zero-overhead choice. The moment you need persistence or distribution, you're looking at Redis ($0-15/mo) or Postgres for a backed queue, or Temporal's managed service.

Free Go library. Zero infrastructure cost for in-process scheduling.

Self-hosting ops:trivial

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55/100 · C+
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Growing adoption: 2,012 starsPermissive license (MIT)

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