backend · queue
Filter in Explore Celery
4 production projects and 1 rule set built with Celery.
Production projects
- Open-Source Error Tracking & APM Hybrid GlitchTip Lightweight Sentry-compatible application performance monitoring and error tracking platform. Built on Python Django and PostgreSQL with async Celery task queues for high-volume exception ingestion and Redis message buffering.
- No-Code Database Platform Hybrid Baserow A Django/PostgreSQL core with Nuxt/Vue frontend layers lets Baserow add premium and enterprise features as separate installable packages on top of one open-source base, while Channels and Celery keep realtime sync and background work inside the same deployable unit.
- Error Tracking Platform Classic Sentry Pairing Django with Kafka and ClickHouse allows Sentry to ingest billions of events daily while providing sub-second analytical search across production traces.
- LLM App Builder AI-agent Dify.ai Agent execution and vector retrieval are split into separate, independently scalable services (a Go sandbox runtime, a FastAPI agent orchestrator, and pluggable vector-store providers) so untrusted tool code and swappable retrieval backends stay out of the core Flask API process.
Often used with Celery
AGENTS.md rules and agent skills with Celery
Questions about Celery
How many production projects use Celery?
4 verified production projects in the STACK IT FAST directory use Celery, each with a full architecture breakdown.
What is Celery most often used with?
Across projects in the directory, Celery is most commonly paired with Python, PostgreSQL, Redis.
Is there an AGENTS.md rule or Claude Code skill for Celery?
Yes — Django + PostgreSQL + Redis + Celery includes a full AGENTS.md, CLAUDE.md, Cursor .mdc rule set and an installable SKILL.md covering Celery.