django-sql-explorer
django-celery
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| django-sql-explorer | django-celery | |
|---|---|---|
| 4 | 3 | |
| 2,200 | 1,514 | |
| 0.6% | 0.0% | |
| 8.3 | 0.0 | |
| 2 days ago | over 1 year ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
django-sql-explorer
- Online Django Development Sprint, October 19-20.
- Saving Filtered Querysets for Future Access
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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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Show HN: Django SQL Dashboard
Very cool! I wrote Django SQL Explorer[0], and this looks very similar in spirit, but an emphasis on visualization that Explorer does not have (to the extent it has a focus, it's more on providing a reasonable way to write complex queries and re-use them).
These types of tools are extremely handy.
django-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.
What are some alternatives?
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
django-tastypie - Creating delicious APIs for Django apps since 2010.
celery-progress - Drop in, configurable, dependency-free progress bars for your Django/Celery applications.
django-modern-rpc - Simple XML-RPC and JSON-RPC server for modern Django
jasmin - Jasmin - Open source SMS gateway
Python Blogs - A curated list of python programming language blogs
django-silk - Silky smooth profiling for Django
django-template - A battle-tested Django 2.1 project template with configurations for AWS, Heroku, App Engine, and Docker.
flower - Real-time monitor and web admin for Celery distributed task queue
django-admin-interface - :superhero: :zap: django's default admin interface with superpowers - customizable themes, popup windows replaced by modals and many other features.
django-cms - The easy-to-use and developer-friendly enterprise CMS powered by Django