Chancy is a distributed task queue and scheduler for Python built on top of Postgres.

• Robust Jobs - support for priorities, retries, timeouts, scheduling, global rate limits, memory limits, global uniqueness, error capture, cancellation, and more
• Minimal dependencies - Core functionality requires only psycopg3 - which can be installed side-by-side with psycopg2.
• Minimal infrastructure - No need to run a separate service like RabbitMQ or redis. Every feature is built on top of Postgres. No need for separate monitoring services like Flower or schedulers like Celery Beat - everything is built-in to the worker.
• Plugins - Several plugins including a dashboard, workflows, cron jobs, and more.
• Flexible - A single worker can handle many queues and mix threads, processes, sub-interpreters, and asyncio jobs, allowing powerful workflows that use the optimal concurrency model for each job. Queues can be created, deleted, modified, and paused at runtime.
• async-first - Internals designed from the ground up to be async-first, but has minimal sync APIs for easy integration with existing non-async codebases.
• Transactional enqueueing - Atomically enqueue jobs and the data they depend on in a single transaction.
• Performant - Used in production environments to process millions of jobs per day.
• Portable - Supports Linux, OS X, and Windows.
• 100% open & free - no enterprise tiers or paid features.

Check out the getting-started guide and the API documentation at https://tkte.ch/chancy/.

Chancy comes with an optional dashboard that provides a basic look into the status of your queues: