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Flask-RQ2 Alternatives
Similar projects and alternatives to Flask-RQ2
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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django-todo
A multi-user, multi-group todo/ticketing system for Django projects. Includes CSV import and integrated mail tracking.
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django-q2
A multiprocessing distributed task queue for Django. Django Q2 is a fork of Django Q. Big thanks to Ilan Steemers for starting this project. Unfortunately, development has stalled since June 2021. Django Q2 is the new updated version of Django Q, with dependencies updates, docs updates and several bug fixes. Original repository: https://github.com/Koed00/django-q
Flask-RQ2 reviews and mentions
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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.
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Tutorials on how to build a flask extension?
However, you might need to access the app’s context like how you’d do so in the Flask-RQ2 extension by using ScriptInfo from flask.cli:
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Application structure for CLI and API in same
For the CLI part, i recommend going with Click. Its great and already part of flask and easy to use. Other CLI libraries work too but why have more libraries. For scheduling jobs you might want to look at Flask-APScheduler. i used it in one of my projects at work for a while but ended up needing something that could scale to many more workers so had to rip it out but i didnt have a problem with it otherwise. You might want to fork Flask-APScheduler so you can update some libraries because it hasnt been touched in 2 years now or you can just use APScheduler alone. Flask-RQ2 and Celery are pretty good too but the workers need to run in separate processes and need Redis. You could use Redislite i think and with celery you could use a database as your broker, i have done it but dont recommend it.
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Stats
rq/Flask-RQ2 is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Flask-RQ2 is Python.