tornado
flower
| tornado | flower | |
|---|---|---|
| 1 | 3 | |
| 20,225 | 6,187 | |
| - | - | |
| 6.4 | 5.6 | |
| over 2 years ago | 15 days ago | |
| Python | Python | |
| Apache License 2.0 | 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.
tornado
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Should I put #! (shebang) in Python scripts, and what form should it take?
Note: the tornado project uses the shebang. On the other hand the Django project doesn't.
flower
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Scaling Celery to handle workflows and multiple queues
Use flower to monitor workers and tasks.
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Python Celery - high level overview(animated video)
Not sure what your criteria for good observability ist, but flower served me well enough for this in the last couple of years.
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Wondering if I should use Celery vs threads for what I want to do
From experience i would not use threads for this or any background jobs. I would use Celery or Flask-RQ2 to be your workers, you will also probably end up using them to run other tasks as you encounter the need for other jobs. They both use Redis as a broker and job store and you can use Redis for other things like caching and so many other useful features. I kind of like RQ2 more then Celery because its a little simpler but Celery has a lot more to offer, more features. RQ2 has rq-dashboard for monitoring jobs and Celery has Flower.
What are some alternatives?
pyftpdlib - Extremely fast and scalable Python FTP server library
django-suit - Modern theme for Django admin interface
Django - The Web framework for perfectionists with deadlines.
django-jet - Modern responsive template for the Django admin interface with improved functionality. We are proud to announce completely new Jet. Please check out Live Demo
aiosqs - Python asynchronous and lightweight AWS SQS client.
Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)
flask-admin - Simple and extensible administrative interface framework for Flask
rq-dashboard - Flask-based web front-end for monitoring RQ queues
django-celery-results - Celery result back end with django
Wooey - A Django app that creates automatic web UIs for Python scripts.
flask-apscheduler - Adds APScheduler support to Flask
django-xadmin - Drop-in replacement of Django admin comes with lots of goodies, fully extensible with plugin support, pretty UI based on Twitter Bootstrap.