Celery Alternatives
Similar projects and alternatives to celery
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SonarLint
Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.
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NATS
High-Performance server for NATS.io, the cloud and edge native messaging system.
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
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Redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
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django-ninja
💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
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opyrator
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
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terraform
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
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celery reviews and mentions
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Best way to utilize a machine learning model in my personal project?
You probably want some sort of background process running the scraper and model, you could look at celery - a python task queue.
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What is your favourite task queuing framework?
Celery -> What I'm currently considering using
same! the issue has been open with a lot of people experiencing it, but no resolution https://github.com/celery/celery/issues/4185
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Running celery as daemon does not create PID file
The init.d script is taken directly from the here and then I gave it the required permissions.
- Why are my environment variables not detected when starting up celery?
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Can celery,celerybeat and django-celery-beat dynamically add/remove tasks in runtime without restart celerybeat?
How to dynamically add or remove tasks to celerybeat?
- How to run celery as a daemon in production?
- Celery website has been hijacked
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How to restart Celery gracefully without delaying tasks
Sending SIGHUP to the main process: this caused Celery to attempt to "restart," by doing a warm shutdown and then relaunching itself. Not only does this take a long time, it doesn't even work, because apparently the new process launches before the old one dies, so the new one complains ERROR: Pidfile (/var/run/celeryd.pid) already exists. Seems we're already running? (PID: 13214) and dies immediately. (This looks like a bug in Celery itself; I've let them know about it.)
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What happened to the Celery project website?
It seems to be a preliminary home for the docs while the issues with the current domain are sorted out (see issue #7351).
- Doc location for Celery - celerypython.org or celeryq.dev ?
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Django asnyc
Would recommend checking out celery: https://github.com/celery/celery
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Boilerplates for integration services when you need to sync API resources or databases
Several years ago, finishing another such task at work and spending a lot of time integrating the Pytest with SQLAlchemy (I am loving TDD so much), I decided to create a boilerplate for such a service. At that time, I used Celery. So I stuffed my project with Celery, SQLAlchemy, Docker and Pytest.
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Fixing Memory Leaks in Popular Python Libraries
If either shutdown (or close) raises an exception, self.sock isn't set to None. Thus Python retains the reference.
https://github.com/celery/celery/issues/4843#issuecomment-99...
Another way you can have leaks with a reference counting GC is through circular references. Python provides WeakRef for such situations, but it's up to the programmer to use it correctly.
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Django 4.0 Released
Ideally try to avoid using Celery at all. It's the most consistently buggy, poorly documented, worst quality major Python project I have used so far.
Here is a fresh example: they deprecated CELERY_ prefixes in Django settings for some reason, which makes zero sense [1]. But because it's Celery, they only warn on a few properties but not others, and the tool they ship inexplicably renamed completely unrelated settings for me [2]. And yes, apparently the new way doesn't work either [3].
It's very characteristic of what I've seen from Celery over the last few years of working with it. If you are doing anything greenfield, it's best to avoid it altogether.
[1] https://stackoverflow.com/questions/65554242/celery-imports-...
[2] https://twitter.com/lambdadmitry/status/1468337594358546435?...
Stats
celery/celery is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
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