riverqueue/river

Health v2 · maintenance only

Flags: no_readme

Adoption not part of the score

5604 stars · 174 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

River is a Go library providing a fast, reliable background job queue backed by PostgreSQL or SQLite, with transactional enqueueing so jobs are committed atomically alongside application data. It includes multiple queues, unique and recurring/cron jobs, retries, snoozing, test helpers, and a web interface, with optional Pro features like workflows and dead letter queues.

Use cases

• run background jobs in a Go application
• enqueue jobs transactionally with Postgres
• schedule recurring cron jobs in Go
• avoid running Redis for job queues
• send onboarding emails after user signup
• process long-running tasks like video encoding in a separate queue
• guarantee a job runs only once per period

When to choose

• your Go app already uses PostgreSQL or SQLite and you want no extra queue infrastructure
• you need atomic enqueueing with database transactions to avoid lost jobs
• you want built-in retries, unique jobs, cron scheduling, and a web UI
• you prefer a simpler architecture over Redis-backed queues like Sidekiq-style systems

When to avoid

• you need extremely high throughput beyond what Postgres-backed polling can handle
• your stack is not Go or does not use Postgres/SQLite
• you need advanced features like workflows, batching, or dead letter queues without paying for River Pro
• you require support for brokers like RabbitMQ, Kafka, or Redis

Facets

library · maturity active

message-queue scheduling workflow-automation cli backend databases developer-tools go windows self-hosted background-jobs job-queue postgres sqlite transactional-enqueueing cron-jobs worker-pool go-library automation linux macos docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="riverqueue/river")