A backport of Django's built in Tasks framework
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Updated
May 22, 2026 - Python
A backport of Django's built in Tasks framework
An ORM-based backend for Django Tasks
A Django Tasks backend which uses RQ as its underlying queue
Stupid simple background worker based on python.
Powerful single binary, zero-dependency job queue server
This project is a scalable web application built using Next.js, enhanced with background job processing to handle long-running or resource-intensive tasks outside the request-response lifecycle.
DeepWork is a web application that demonstrates the power of combining OpenAI's Deep Research API with the Hookdeck Event Gateway to support highly reliable and scalable asynchronous workflows and background jobs.
Official Node.js Client for the Zizq Job 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 robust, multi-tenant Task Management API built with Go, featuring secure JWT authentication, background email notifications, and Redis-backed rate limiting
Framework for building pipeline data flows
Production-style full-stack uptime monitoring SaaS with async background workers, Redis caching and rate limiting, real-time WebSocket updates, and subscription-based feature gating.
Automatically converts GitHub issues into runnable minimal reproducible examples by cloning repositories, executing builds/tests in sandboxed environments, and generating diagnostic bundles.
Starter template for using MachineID.io with OpenAI Swarm workers (register + validate cycle)
This is a real-time stock trading simulator built with Next.js, featuring live candlestick charts, real-time price updates, portfolio tracking, and simulated trading.
FastAPI service for ingesting ML benchmark runs, computing scaling metrics asynchronously, and comparing experiments with PostgreSQL and Redis.
Keep non-Goal Codex controller windows moving with low-context, ETA-aware background thread monitoring.
This project is a synopsis of the ALX back-end trimester, which includes authentication, NodeJS, MongoDB, Redis, pagination, and background processing.
Scalable GenAI-powered system to extract structured invoice data from PDFs & images, detect errors, and process large batches efficiently.
Asynchronous audio-job backend for transcription and optional speaker diarization, built with FastAPI, PostgreSQL, workers, tests, Docker, and CI.
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