🤖 Transform natural language into cron expressions effortlessly with AI, ensuring privacy and flexibility through local and cloud model support.
🤖 Define a universal JSON specification for AI agents, facilitating consistent communication and interoperability across diverse systems.
Fail-closed execution guard for workers, services, and agents
Claude Code plugin: Senior Cloudflare Systems Engineer capabilities for architecture, cost optimization, security, and implementation
Official Python SDK for MachineID - simple device registration and validation for AI agents.
Simple job queues for Python
Add device limits to Python agents with one small register/validate block.
Real-time monitor and web admin for Celery distributed task queue
Scheduled & background tasks will never be the same once you use Inngest. That's why I made this integration. I'm a fan.
A lightweight CLI-based background job queue system with workers, retry logic, and Dead Letter Queue support.
Serverless Orchestrator of Serverless Workers for AWS - Worker
Asset Management for data and static resources
A flexible task dispatcher for Python with multiple threading or processing control
GitHub Action For Running You Experiment With ClearML
A Redis-backed job queue system with retry mechanisms, timeouts, and dead letter queues.
⚙️ | REPLACED BY https://github.com/runpod-workers | Official set of serverless worker provided by RunPod as endpoints.
Repositório para aprender Python + SQLAlchemy + Celery
FuturePool is a package that introduce known concept of multiprocessing Pool to the async/await world. It allows for easy translation from multiprocessing to async/await, while keeping the core principle - specified number of workers. FuturePool allows for more flexible usage by providing starimap/starimap_unordered.
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