Chancy

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

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Key Features

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:

Workflows Queue Details Jobs Job

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