Celery plugins

Centers Python backend development around async patterns, FastAPI, Django, and modern tooling, providing architectural guidance, testing strategies with pytest, and production best practices for scalable APIs and services.

Validate, curate, audit, and filter chemical structures for QSAR/ML drug discovery workflows using ChemAudit tools. Batch process SMILES/InChI/CSV/SDF files, standardize with ChEMBL-compatible pipelines and provenance tracking, detect dataset issues like contradictions and parse errors, filter generative outputs with REINVENT scorers, and lookup/resolve across PubChem, ChEMBL, COCONUT, Wikidata, SureChEMBL.

Guided Django project scaffolding and component addition (auth, payments, REST, WebSockets, Celery, Docker, CI/CD, Tailwind, Sentry) via interactive prompts — for new or existing codebases.

Scaffold, generate, and deploy production FastAPI backends with Beanie MongoDB models/CRUD, Keycloak auth, Redis caching, ARQ/Celery tasks, WebSockets, pytest tests/migrations; add structlog/Prometheus/OTel observability; containerize with Docker/Helm K8s; optimize performance and audit security.

Build production-ready backend systems as a senior engineer: implement secure APIs with validation and auth, design scalable databases, architect microservices, integrate message queues and caching, handle background jobs, and optimize performance across Node.js, Python, Go, Rust frameworks, generating clean SOLID code.

Build and optimize Django backends by generating models, views, services, migrations; creating DRF serializers, viewsets, REST APIs, GraphQL schemas; and tuning complex ORM queries for database performance using project-aware best practices.

Summon Python specialists to scaffold production Django/FastAPI projects with uv/Docker/PostgreSQL, enforce Mypy/PEP8/security reviews, audit codebases for multi-agent parallelization, implement Celery tasks/WebSockets, and generate pytest strategies—all using 2025 patterns and official docs.

Run production-ready Celery distributed task queues to handle async background jobs and scheduled tasks, managing workers, using Beat for scheduling, Flower for monitoring, with direct integrations into Django, Flask, or FastAPI apps.