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#57 in Asynchronous

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3.5K SLoC

A Rust implementation of Celery for producing and consuming asyncronous tasks with a distributed message queue.

Build License Crates Docs Help wanted Discord

We welcome contributions from everyone regardless of your experience level with Rust. For complete beginners, see HACKING_QUICKSTART.md.

If you already know the basics of Rust but are new to Celery, check out the Rusty Celery Book or the original Python Celery Project.

Quick start

Define tasks by decorating functions with the task attribute.

use celery::TaskResult;

fn add(x: i32, y: i32) -> TaskResult<i32> {
    Ok(x + y)

Create an app with the app macro and register your tasks with it:

let my_app = celery::app!(
    broker = AMQP { std::env::var("AMQP_ADDR").unwrap() },
    tasks = [add],
    task_routes = [
        "*" => "celery",

Then send tasks to a queue with

my_app.send_task(add::new(1, 2)).await?;

And consume tasks as a worker from a queue with



The ./examples directory contains:

  • a simple Celery app implemented in Rust using an AMQP broker (celery_app.rs);
  • the same Celery app implemented in Python (celery_app.py);
  • and a Beat app implemented in Rust (beat_app.rs).


If you already have an AMQP broker running you can set the environment variable AMQP_ADDR to your broker's URL (e.g., amqp://localhost:5672//, where the second slash at the end is the name of the default vhost). Otherwise simply run the helper script:


This will download and run the official RabbitMQ image (RabbitMQ is a popular AMQP broker).

Run the examples

Run Rust Celery app

You can consume tasks with:

cargo run --example celery_app consume

And you can produce tasks with:

cargo run --example celery_app produce

Run Python Celery app

Similarly, you can consume or produce tasks from Python by running

python examples/celery_app.py consume


python examples/celery_app.py produce

You'll need to have Python 3 installed, along with the requirements listed in the requirements.txt file.

Run Rust Beat app

You can start the Rust beat with:

cargo run --example beat_app

And then you can consume tasks from Rust or Python as explained above.

Road map and current state

✅ = Supported and mostly stable, although there may be a few incomplete features.
⚠️ = Partially implemented and under active development.
🔴 = Not supported yet but on-deck to be implemented soon.


Status Tracking
Protocol ⚠️
Backends 🔴
Baskets 🔴


Status Tracking
Redis 🔴


Status Tracking
Redis 🔴



~260K SLoC