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Django-celery Alternatives
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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MySQL
MySQL Server, the world's most popular open source database, and MySQL Cluster, a real-time, open source transactional database.
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Ray
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SaaSHub
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SaltStack
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celery-progress
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django-sql-explorer
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orchestra
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django-anymail
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SaaSHub
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django-celery discussion
django-celery reviews and mentions
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Building a SaaS app using Django
Background tasks, like sending emails, are best handled asynchronously to avoid blocking the main application processes and to improve the overall performance and responsiveness of your application. A popular tool for managing background tasks in Django is Celery.
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3% of 666 Python codebases we checked had a silently failing unit test
https://github.com/ansible-community/ara/pull/358 https://github.com/b12io/orchestra/pull/830 https://github.com/batiste/django-page-cms/pull/210 https://github.com/carpentries/amy/pull/2130 https://github.com/celery/django-celery/pull/612 https://github.com/django-cms/django-cms/pull/7241 https://github.com/django-oscar/django-oscar/pull/3867 https://github.com/esrg-knights/Squire/pull/253https://github.com/Frojd/django-react-templatetags/pull/64 https://github.com/groveco/django-sql-explorer/pull/474 https://github.com/jazzband/django-silk/pull/550 https://github.com/keras-team/keras/pull/16073 https://github.com/ministryofjustice/cla_backend/pull/773 https://github.com/nitely/Spirit/pull/306 https://github.com/python/pythondotorg/pull/1987 https://github.com/rapidpro/rapidpro/pull/1610 https://github.com/ray-project/ray/pull/22396 https://github.com/saltstack/salt/pull/61647 https://github.com/Swiss-Polar-Institute/project-application/pull/483 https://github.com/UEWBot/dipvis/pull/216
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Database character sets and collations explained – why utf8 is not UTF-8
> they would now need to store max 4N bytes, which (with a high N) can exceed internal limits such as maximum length of an index key.
Specifically, indexes are limited to 767 bytes (some say 768?), which means 191 utf8mb4 characters. So your otherwise-innocuous VARCHAR(255) primary key breaks. I’ve seen this multiple times, e.g. django-celery probably still has this: https://github.com/celery/django-celery/issues/259.
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Django API Text Processing?!?
For small projects you'll be fine just doing it in the view. For bigger projects you would want to use a task scheduler like Celery and with django-celery to distribute the workload in the background.
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A note from our sponsor - InfluxDB
www.influxdata.com | 24 May 2025
Stats
celery/django-celery is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.
The primary programming language of django-celery is Python.