Machinery

Spec sheet

Purpose

Machinery is an asynchronous task queue and job queue based on distributed message passing.Read 8 Oct 2026 · github.com

License

The repository identifies its license as MPL-2.0.Read 8 Oct 2026 · github.com

Configuration

Configuration can be loaded from environment variables or YAML, with optional live reloading every 10 seconds.Read 8 Oct 2026 · github.com

Deployment model

The README describes Machinery as a Go library installed with go get and used by running worker processes.Read 8 Oct 2026 · github.com

Message brokers

Supported brokers include AMQP, Redis, AWS SQS, and Google Cloud Pub/Sub.Read 8 Oct 2026 · github.com

Pending task inspection

The README says pending tasks can currently be inspected only when using the Redis broker.Read 8 Oct 2026 · github.com

Result backends

Supported result backends include Redis, Memcache, AMQP, and MongoDB.Read 8 Oct 2026 · github.com

Results retention

Task results expire after 3600 seconds by default, and the README cautions against AMQP as a result backend for large numbers of parallel tasks.Read 8 Oct 2026 · github.com

Retries

Tasks can be retried a configured number of times, with retry requests spaced using a Fibonacci sequence.Read 8 Oct 2026 · github.com

Scheduling

Tasks can be delayed using an ETA timestamp, and the project supports periodic tasks and workflows.Read 8 Oct 2026 · github.com

Supported task data

Task messages and results are JSON encoded, so supported task types are limited to types with native JSON representation.Read 8 Oct 2026 · github.com

Task execution

Workers consume queued tasks, and each task is processed in a goroutine.Read 8 Oct 2026 · github.com

Workflows

The README documents task groups, chains, chords, and success and error callbacks.Read 8 Oct 2026 · github.com

Plans and prices

Every Machinery plan and price →

Where Specifiction places it

• Task Queue Software#30 of 377.4