Celery is a distributed task queue. It was first created for Django, but is now usable from Python. It can also operate with
other languages via HTTP+JSON. It is used for executing tasks asynchronously, routed to one or more worker servers, running
concurrently using multiprocessing. It is designed to solve certain problems related to running websites demanding high-availability and performance.
It is perfect for filling caches, posting updates to twitter, mass downloading data like syndication feeds or web scraping. Use-cases are plentiful. Implementing these features asynchronously using celery is easy and fun, and the performance improvements can make it more than worthwhile.
|celery-4.2.1.tar.gz||0001364075 1.3 MB||almost 3 years|
|celery-no-redis.patch||0000000969 969 Bytes||almost 3 years|
|disable-pytest-log-capturing.patch||0000000479 479 Bytes||about 3 years|
|python-celery.changes||0000082165 80.2 KB||over 2 years|
|python-celery.spec||0000003019 2.95 KB||over 2 years|
|python37-1.patch||0000004467 4.36 KB||over 2 years|
|python37-2.patch||0000002075 2.03 KB||over 2 years|
|python37-3.patch||0000001229 1.2 KB||over 2 years|
|relax-billiard-pin.patch||0000000251 251 Bytes||over 2 years|
|unpin-pytest.patch||0000000215 215 Bytes||over 2 years|