taskito 0.16.3

Rust-powered task queue for Python. No broker required.

taskito

A Rust-powered task queue for Python. No broker required — just SQLite or Postgres.

pip install taskito                # SQLite (default)
pip install taskito[postgres]      # with Postgres backend

Quickstart

1. Define tasks in tasks.py:

from taskito import Queue

queue = Queue(db_path="tasks.db")

@queue.task()
def add(a: int, b: int) -> int:
    return a + b

2. Start a worker:

taskito worker --app tasks:queue

3. Enqueue jobs:

from tasks import add

job = add.delay(2, 3)
print(job.result(timeout=10))  # 5

Why taskito?

Most Python task queues need a separate broker (Redis, RabbitMQ) even for single-machine workloads. taskito embeds storage, scheduling, and worker management into one pip install with no external services. An optional Postgres backend adds multi-machine workers with the same API.

The engine runs in Rust — a Tokio async scheduler, an OS-thread worker pool, and Diesel over SQLite in WAL mode. The GIL is held only during task execution; run --pool prefork for true parallelism on CPU-bound work.

Features

Grouped by what you're trying to do — each section has a one-line sample and a link to its deep-dive guide. New here? Start with Capabilities at a glance.

Reliability

Retries with exponential backoff, per-exception retry rules, soft timeouts, a dead-letter queue with replay, circuit breakers, and idempotent enqueue.

@queue.task(max_retries=5, retry_backoff=2.0, retry_on=[TimeoutError])
def fetch_url(url: str) -> str: ...

→ Reliability guide

Workflows

Compose tasks with chain, fan out with group, fan in with chord — plus task dependency graphs with cascade cancel.

chain(fetch.s(url), parse.s(), store.s()).apply()

→ Workflows guide

Concurrency

A thread pool by default (ideal for I/O-bound tasks); switch to a prefork pool of child processes for true CPU parallelism with no GIL contention.

taskito worker --pool prefork --app tasks:queue   # CPU-bound: real parallelism

→ Execution & prefork guide

Scheduling

Priorities, rate limiting, periodic (cron) tasks, delayed execution, and job expiration.

@queue.task(priority=9, rate_limit="100/m")
def notify(user_id: int) -> None: ...

→ Scheduling guide

Observability

A built-in web dashboard, an events system, HMAC-signed webhooks, Prometheus and OpenTelemetry exporters, structured logging, and worker heartbeats.

taskito dashboard --app tasks:queue   # Flower-style monitoring UI

→ Dashboard & monitoring guide

Extensibility

Pluggable serializers, per-task middleware, a fully async API, and Postgres or Redis backends for multi-machine workers.

@queue.task(middleware=[MyMiddleware()])   # per-task hooks
def handle(payload: dict) -> None: ...

→ Extensibility guide

Examples

from taskito import chain, group, chord

# Sequential pipeline — each step receives the previous result
chain(fetch.s(url), parse.s(), store.s()).apply()

# Parallel fan-out, then a callback once all complete
chord([download.s(u) for u in urls], merge.s()).apply()

@queue.task(max_retries=5, retry_backoff=2.0, rate_limit="100/m")
def fetch_url(url: str) -> str:
    return requests.get(url).text

More examples — dependencies, progress tracking, middleware, FastAPI — in the docs.

Integrations

Extra	Install	What you get
Flask	pip install taskito[flask]	Taskito(app) extension, flask taskito worker CLI
FastAPI	pip install taskito[fastapi]	TaskitoRouter for instant REST API over the queue
Django	pip install taskito[django]	Admin integration, management commands
OpenTelemetry	pip install taskito[otel]	Distributed tracing with span-per-task
Prometheus	pip install taskito[prometheus]	PrometheusMiddleware, queue depth gauges, /metrics server
Sentry	pip install taskito[sentry]	SentryMiddleware with auto error capture and task tags
Postgres	pip install taskito[postgres]	Multi-machine workers via PostgreSQL backend
Redis	pip install taskito[redis]	Redis storage backend

Testing

Built-in test mode — no worker needed:

def test_add():
    with queue.test_mode() as results:
        add.delay(2, 3)
        assert results[0].return_value == 5

Documentation

Read the docs → — guides, API reference, and architecture. Coming from Celery? See the Migration Guide.

Comparison

Feature	taskito	Celery	RQ	Dramatiq	Huey
Broker required	No	Yes	Yes	Yes	Yes
Core language	Rust + Python	Python	Python	Python	Python
Priority queues	Yes	Yes	No	No	Yes
Rate limiting	Yes	Yes	No	Yes	No
Dead letter queue	Yes	No	Yes	No	No
Task dependencies	Yes	No	No	No	No
Workflows (chain/group/chord)	Yes	Yes	No	Yes	No
Built-in dashboard	Yes	No	No	No	No
FastAPI integration	Yes	No	No	No	No
Cancel running tasks	Yes	Yes	No	No	No
CPU parallelism (prefork pool)	Yes	Yes	Yes	Yes	Yes
Postgres backend	Yes	Yes	No	No	No
Setup	pip install	Broker + backend	Redis	Broker	Redis

License

MIT