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Django + taskiq . Self-hosted . Open source

Django taskiq Dashboard

Run taskiq inside a Django app and you have working background jobs. Run taskiq with z4j and you also have a dashboard, persistent history, the task controls this adapter can execute safely, scheduler integration, RBAC with invitations, and a tamper-evident audit log. z4j is one container or one Python process; the agent is one pip extra in your existing Django venv.

taskiq is the newest async-native task queue and ships with first-class FastAPI ergonomics. Django + taskiq is well-suited to teams who want the modern async Python stack from end to end. z4j-taskiq instruments the broker and worker without touching your task code.

Install z4j Django integration details taskiq adapter details
install

Install z4j alongside Django + taskiq

1. Install the brain

bash 
pip install z4j && z4j serve

First boot prints a setup URL to stderr. Open it, create the first admin, and mint a token + HMAC secret for this agent.

2. Add the agent to your Django venv

bash 
pip install z4j-django[taskiq]

3. Wire it into Django

python 
# settings.py
INSTALLED_APPS += ["z4j_django"]

Z4J = {
    "brain_url":   env("Z4J_BRAIN_URL"),
    "token":       env("Z4J_TOKEN"),
    "hmac_secret": env("Z4J_HMAC_SECRET"),
    "project_id":  env("Z4J_PROJECT_ID"),
    "agent_name":  env("Z4J_AGENT_NAME", default=None),
}
# That's it. No CELERY_APP, no Z4J_DEV_MODE, no dev_mode kwarg.
# Auto-detect checks the documented candidate layouts. Add CELERY_APP when
# none of those candidates resolves your application.

What you get

  • Persistent taskiq task history in Postgres or SQLite
  • Adapter-advertised controls: submit_task
  • Scheduler integration via taskiq scheduler; available controls depend on that scheduler adapter
  • RBAC with invitations and password reset
  • HMAC-chained tamper-evident audit log
  • Notifications: email, Slack, Telegram, webhook
License

z4j-django and z4j-taskiq are Apache 2.0. Importing them into your Django app does not affect your application's licensing. z4j is AGPL-3.0-or-later, isolated in its own process.

taskiq actions exposed

What the dashboard can actually do

Native actions

  • submit_task

Event capture

Z4JTaskiqMiddleware: pre_send / pre_execute / post_execute / on_error.

Reconciliation

result_backend.is_result_ready() + get_result(). Works across every backend taskiq ships.

other Django stacks

Django with a different engine

Django +

Django Celery Dashboard

The industry standard, covered end-to-end.
Django +

Django RQ Dashboard

Lightweight Redis queue, fully instrumented.
Django +

Django Dramatiq Dashboard

Middleware-driven Dramatiq observability.
Django +

Django Huey Dashboard

Lightweight Redis/SQLite queue, first-class.
Django +

Django arq Dashboard

Async Redis queue for FastAPI-era Python.
taskiq on other frameworks

Same engine, different framework

+ taskiq

Flask taskiq Dashboard

Flask extension pattern. One line to install.
+ taskiq

FastAPI taskiq Dashboard

Lifespan-hook integration for async stacks.

Start using Django taskiq Dashboard

Self-hosted, open source, no SaaS, no telemetry. z4j runs anywhere Python or Docker runs.

Install z4j Read the docs