## Welcome to Django Q Django Q is a native Django task queue, scheduler and worker application using Python multiprocessing. ## Features • Multiprocessing worker pool • Asynchronous tasks • Scheduled groups • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis broker • Python 2 and 3 Django Q is tested with: Python 2.7 & 3.4. Django 1.7.10 & name workers recycle timeout compress save limit sync queue limit label catch up redis django redis cpu affinity • Tasks •Async ○ Groups ○ Synchronous testing ○ Connection pooling

 Django Q # Django Q Documentation Release 0.7.8 Ilan Steemers October 08, 2015 Powered by TCPDF (www.tcpdf.org) 1 Features Cluster 27 1.7 Monitor 32 1.8 Admin pages 35 1.9 Examples 37 Python Module Index 43 Django Q is a native Django task queue, scheduler and worker application using Python multiprocessing. ## Features hooks and groups • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Python 2 and 3 Django Q is tested with: Python

## Welcome to Django Q Django Q is a native Django task queue, scheduler and worker application using Python multiprocessing. ## Features • Multiprocessing worker pools • Asynchronous tasks • Scheduled groups and chains • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Rollbar support Django Q is tested with: Python Python 2.7 & 3.5. Django 1.8.8 & 1.9.1 Contents: • Installation • Requirements • Compatibility. • Configuration • name • workers • recycle • timeout • retry

 Django Q # Django Q Documentation Release 1.3.6 Ilan Steemers May 14, 2021 Powered by TCPDF (www.tcpdf.org) ## Contents Signals 44 1.14 Architecture 45 1.15 Examples 47 Python Module Index 55 Index 57 Django Q is a native Django task queue, scheduler and worker application using Python multiprocessing. Features • and chains • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Rollbar and Sentry support Django Q is tested with:

 Django Q # Django Q Documentation Release 0.7.15 Ilan Steemers January 27, 2016 Powered by TCPDF (www.tcpdf.org) 1 Features 1.11 Admin pages 38 1.12 Architecture 41 1.13 Examples 43 Python Module Index Django Q is a native Django task queue, scheduler and worker application using Python multiprocessing. ## Features groups and chains • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Rollbar support Django Q is tested with: Python

## Welcome to Django Q Django Q is a native Django task queue, scheduler and worker application using Python multiprocessing. ## Features • Multiprocessing worker pools • Asynchronous tasks • Scheduled groups and chains • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Rollbar support Django Q is tested with: Python Python 2.7 & 3.5. Django 1.8.11 & 1.9.4 Contents: • Installation • Requirements • Compatibility • Configuration • name • workers • recycle • timeout • retry

# Welcome to Django Q Django Q is a native Django task queue, scheduler and worker application using Python multiprocessing. ## Features • Multiprocessing worker pools • Asynchronous tasks • Scheduled and chains • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Rollbar and Sentry support Django Q is tested with: with: Python 2.7 & 3.6. Django 1.8.18 LTS, 1.11.9 and 2.0 Contents: Installation Requirements Extras Compatibility. Configuration name workers daemonize workers recycle timeout retry compress

# Welcome to Django Q Django Q is a native Django task queue, scheduler and worker application using Python multiprocessing. ## Features • Multiprocessing worker pools • Asynchronous tasks • Scheduled groups and chains • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Rollbar support Django Q is tested with: Python Python 2.7 & 3.6. Django 1.8.18 LTS, 1.10.7 and 1.11 Contents: Installation Requirements Compatibility. Configuration name workers daemonize_workers recycle timeout retry. compress save_limit

# Welcome to Django Q Django Q is a native Django task queue, scheduler and worker application using Python multiprocessing. ## Features • Multiprocessing worker pools • Asynchronous tasks • Scheduled and chains • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Rollbar and Sentry support Django Q is tested with: with: Python 3.7 and 3.8, Django 2.2.x and 3.1.x Currently available in English, German and French. Contents: • Installation Requirements ☐ Add-ons Compatibility. • Configuration o name workers

 Django Q # Django Q Documentation Release 0.7.13 Ilan Steemers January 08, 2016 Powered by TCPDF (www.tcpdf.org) 1 Features 1.11 Admin pages 37 1.12 Architecture 40 1.13 Examples 42 Python Module Index Django Q is a native Django task queue, scheduler and worker application using Python multiprocessing. ## Features groups and chains • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Rollbar support Django Q is tested with: Python