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Flask + Celery . Self-hosted . Open source

Flask Celery Dashboard

Run Celery inside a Flask app and you have working background jobs. Run Celery 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 Flask venv.

Flask + Celery is the textbook combination for adding background work to a sync-heavy Python service. z4j-flask follows the standard Flask extension shape (Z4J(app)), reads its config from app.config (or env via from_prefixed_env), and discovers Celery tasks from your extensions/ layout. No monkey-patching, no init-order tricks.

Install z4j Flask integration details Celery adapter details
install

Install z4j alongside Flask + Celery

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 Flask venv

bash 
pip install z4j-flask[celery]

3. Wire it into Flask

python 
from flask import Flask
from z4j_flask import Z4J

app = Flask(__name__)
app.config.from_prefixed_env("Z4J_")
z4j = Z4J(app)

What you get

  • Persistent Celery task history in Postgres or SQLite
  • Adapter-advertised controls: submit_task, retry_task, cancel_task, bulk_retry, purge_queue, restart_worker, pool_grow / pool_shrink, add_consumer / cancel_consumer, rate_limit
  • Scheduler integration via celery beat; 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-flask and z4j-celery are Apache 2.0. Importing them into your Flask app does not affect your application's licensing. z4j is AGPL-3.0-or-later, isolated in its own process.

Celery actions exposed

What the dashboard can actually do

Native actions

  • submit_task
  • retry_task
  • cancel_task
  • bulk_retry
  • purge_queue
  • restart_worker
  • pool_grow / pool_shrink
  • add_consumer / cancel_consumer
  • rate_limit

Event capture

Signals (in-process) + broker-events monitoring (fanout). Auto-switches based on worker pool type.

Reconciliation

celery.result.AsyncResult, authoritative; covers every backend (redis, rpc, db, etc.).

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Start using Flask Celery Dashboard

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

Install z4j Read the docs