CeleryRadar is a monitoring platform designed for Celery task processing environments. It provides continuous oversight of Celery tasks, workers, queues, and Beat schedules, aiming to help users identify operational issues before they impact customers. The service is compatible with a variety of Celery setups, including those using Django, Flask, FastAPI, or no web framework at all.
The platform captures detailed metrics such as task success rates, failure counts, retry rates, and performance statistics over configurable time windows. Users can view per-task breakdowns, including the number of attempts, failure reasons, and the sequence of events for each task execution. CeleryRadar distinguishes itself by highlighting retry rates separately from success rates, making it easier to spot tasks that routinely require multiple attempts before completion. For failed tasks, the service presents a timeline of each attempt, showing which worker processed the task, the errors encountered, and the final outcome.
CeleryRadar integrates with several brokers for task tracking, including Redis, RabbitMQ, and Amazon SQS, although queue depth monitoring is currently limited to single-instance Redis setups. It supports multiple schedulers, such as the default Celery scheduler, django-celery-beat, and RedBeat, automatically picking up existing schedules. Notification integrations include Slack, Discord, and Email, with additional channels like PagerDuty, Telegram, and Pushover planned. Users can configure alert rules for events such as missed Beat schedules, queue depth thresholds, worker offline status, and task failure rates, with customizable thresholds and notification timing.
The service is delivered via a lightweight SDK, which is installed in the Celery application and connected with an API key and app name. It operates asynchronously, minimizing any impact on worker performance, and does not require agents, sidecars, or broker plugins. Data retention and feature access vary by pricing tier: the free Starter plan offers 7-day task history for up to 2 workers and 3 alert rules, while paid Developer and Business plans extend these limits and add features like unlimited environments, longer history retention, and priority support. Users can get started for free without a credit card, and the setup process is designed to take about five minutes.
celeryradar-sdk sits in PulseGate's Observability & monitoring category. It focuses on monitoring and analyzing Celery task queues and worker health for distributed applications. It is built as an open-source project for python developers using Celery. celeryradar-sdk is open source under the MIT license. celeryradar-sdk is available on the web, the command line, and API, and it can be self-hosted.
kadam257 builds and maintains celeryradar-sdk, and the product first shipped in 2026. Development happens publicly on GitHub with 9 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — celeryradar-sdk occupies a relatively distinct niche. Key capabilities include task event tracking, worker heartbeat monitoring, and beat schedule tracking.
Latest indexed changes and source events
celeryradar.com discovered by the PulseGate indexer
Other apps tracked under the same category.
