qStore
celery
| qStore | celery | |
|---|---|---|
| 7 | 43 | |
| 5 | 23,610 | |
| - | 1.3% | |
| 6.4 | 9.5 | |
| 12 months ago | 7 days ago | |
| Python | Python | |
| - | 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.
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qStore
- Is there a private way to send a huge video file someone for free?
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qStore - POC youtube as file storage.
I've finally been able to get around YouTube's video compression issues (for now) and have updated my qStore project.
You can find the repo here: https://github.com/therealOri/qStore
- WhisperFlow: Unleash the Magic of Infinite Storage on YouTube!
- Save arbitrary files on YouTube persistently!
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qStore - Youtube as file storage
qStore also has its own database to keep track of what videos are what and the keys used to encrypt the file that is in the QR code. This database can also be locked and unlocked. (Like bitwarden). Just give it a key that was generated and then it's up to you on how you store it and keep it safe. (You can also use your own way of encrypting files if you wish, my methods are use at your own risk obviously.) You can add, remove, and view entries/records as well.
celery
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Streaming responses to websockets with multiple LLMs, am I going about this wrong?
So this might be my understanding, but stuff like celery is more like an orchestrator that chunks up workloads (think Hadoop with multiple nodes).
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Examples of using task scheduler with Go?
In the Django world, you'd probably rely on Celery to do this for you. You're probably looking for something similar that works with Go. https://github.com/celery/celery
- SynchronousOnlyOperation from celery task using gevent execution pool on django orm
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FastAPI + Celery problem: Celery task is still getting exectued even though I'm raising an exception on task_prerun
I've been doing some research and there doesn't seem to be much information on this issue, aditionally there's this but without a fix yet or any workaround: https://github.com/celery/celery/issues/7792
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Taskiq: async celery alternative
RabbitMQ Classic mirror queues are very fragile to network partitioning. They are deprecated in favor of Quorum queues, but Celery doesn't support them yet : https://github.com/celery/celery/issues/6067
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Use Celery with any Django Storage as a Result Backend
The Celery package provides some number of (undocumented!) result backends to store task results in different local, network, and cloud storages. The django-celery-result package adds options to use Django-specific ORM-based result storage, as well as Django-specific cache subsystem.
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Django Styleguide
I spent 3 years building a high scale crawler on top of Celery.
I can't recommend it. We found many bugs in the more advanced features of Celery (like Canvas) we also ran into some really weird issues like tasks getting duplicated for no reason [1].
The most concerning problem is that the project was abandoned. The original creator is not working on it anymore and all issues that we raised were ignored. We had to fork the project and apply our own fixes to it. This was 4 years ago so maybe things improved since them.
Celery is also extremely complex.
I would recommend https://dramatiq.io/ instead.
[1]: https://github.com/celery/celery/issues/4426
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Processing input and letting user download the result
You can use celery to process the file for extraction, saving and creating rar/zip.
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RQ-Scheduler for tasks in far future?
Celery not usefull for long term future tasks (far future) · Issue #4522 · celery/celery (github.com)
What are some alternatives?
labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data. [Moved to: https://github.com/HumanSignal/labelImg]
dramatiq - A fast and reliable background task processing library for Python 3.
WhisperFlow - WhisperFlow is a Python program for turning ANY type of file into a video for then uploading them to YouTube, getting infinite storage.
Apache Kafka - Mirror of Apache Kafka
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
huey - a little task queue for python
Flask-Vault - Flask-Vault is a robust library that empowers Flask applications to securely store and manage sensitive credentials. It provides a set of CLI commands for storing secrets using AES-GCM symmetric encryption, ensuring that vital information like API keys and database credentials remain protected.
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
persyst - Store data persistently on YouTube
rq - Simple job queues for Python
Infinite-Storage-Glitch - ISG lets you use YouTube as cloud storage for ANY files, not just video
kombu - Messaging library for Python.