Point it at your existing Celery app and you get a web UI and a REST API to see what your tasks are doing, act on them, and — the feature this project exists for — pause or cancel a single future occurrence of a periodic task without touching your beat schedule or restarting anything.

What you get

• Task visibility — every task run (decorated or not) with status, args, worker, queue, timings, exceptions, and full tracebacks.
• Full run history — browse past runs beyond the newest page, search by task name, task ID, or args/kwargs content, and filter by status and date range.
• Live progress — call celery_manager.report_progress(current, total, message) inside a task body and watch the bar move, with elapsed time and a projected finish while the task is still running.
• Log capture — logging output from inside a task body (and print() too, in a real worker — see why), attached to that run and readable in the dashboard.
• Control — start, cancel/terminate, retry, and bulk retry, from the UI or the API. Retries keep their lineage, so you can walk the chain.
• Per-occurrence schedule control — skip or cancel one upcoming run of a periodic task, and see it stay paused.
• Audit log — who did what, when, for every control action.
• Light and dark themes — an explicit per-user choice, not just whatever the OS says.
• Brandable — set the product name, accent colour, and logo from a settings screen; it applies for everyone on the deployment.
• Built-in auth — bcrypt-hashed users and signed session cookies.
• No Node toolchain required — the React dashboard ships prebuilt inside the Python package.

Install

celery-manager is an alpha, so pass --pre to pip:

pip install --pre celery-manager

With extras:

pip install --pre "celery-manager[standalone]"   # adds uvicorn
pip install --pre "celery-manager[flask]"        # adds Flask and a2wsgi

Alternatively, install a tagged release straight from git:

pip install "git+https://github.com/Pythondeveloper6/celery-manager.git@v0.1.0a2"

(Extras with git: "celery-manager[standalone] @ git+https://github.com/Pythondeveloper6/celery-manager.git@v0.1.0a2".)

Optional extras:

• standalone — pulls in uvicorn, to run the dashboard on its own rather than mounting it into an ASGI app you already serve.
• flask — pulls in Flask and a2wsgi, to mount the dashboard in a Flask (WSGI) app; see Integrating with your app.

Wire it up

celery-manager runs in two places, and both need configuring — this is the step most easily missed:

from celery_manager.config import CeleryManagerConfig

config = CeleryManagerConfig(
    celery_app=your_celery_app,
    db_url="sqlite:///celery_manager.db",   # any SQLAlchemy URL
    secret_key="a-real-secret-in-production",
)

1. The dashboard process — build the ASGI app and serve or mount it:

from celery_manager.api.app import create_app

app, _ = create_app(config)   # then: uvicorn your_module:app

2. The Celery worker process — where @track-decorated tasks actually run:

import celery_manager

celery_manager.setup(config)   # at import time, in your tasks module

@app.task(bind=True)
@celery_manager.track(schedule_name="send-report-every-2-hours")
def send_report(self):
    ...

Then run the events listener alongside your worker and beat, so the dashboard sees every task rather than only the decorated ones:

celery-manager events --celery-app your_module:your_celery_app \
                      --db-url sqlite:///celery_manager.db

The listener sees nothing unless workers emit events: set worker_send_task_events = True and task_send_sent_event = True (or run the worker with -E). See Required Celery settings.

Two things that stop people on a first run, both covered in the Quickstart: there is no default account, so you have to create one (celery_manager.auth.users.create_user); and on plain HTTP you need cookie_secure=False, or you will log in successfully and then immediately appear logged out.

Documentation

Full documentation lives in docs/ (an MkDocs Material site — run mkdocs serve after pip install -e ".[docs]"):

• Quickstart — install through first sign-in.
• The @track decorator — wiring, skip/cancel, logs.
• Live progress — reporting progress from inside a task.
• REST API — every endpoint and payload.
• Dashboard — the screens and what they do.
• Configuration — every config field, the schema and upgrade story, and production notes.
• Working on celery-manager — running the tests, building the docs, and rebuilding the committed dashboard bundle.

Changes between versions — including what breaks for development builds — are in CHANGELOG.md.

A complete runnable Django example is in examples/django_demo/.

Requirements

Python 3.10+, Celery 5.x. Storage defaults to SQLite with zero configuration and swaps to Postgres/MySQL/anything SQLAlchemy supports via db_url.

Status

This is the first alpha, 0.1.0a2. It is feature-complete for the v1 scope, but APIs may change before 0.1.0. See plan.md for the implementation history and the backlog of known gaps and planned follow-ups.

License

MIT — see LICENSE.