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Rq Alternatives
Similar projects and alternatives to rq
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InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
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Mergify
Updating dependencies is time-consuming.. Solutions like Dependabot or Renovate update but don't merge dependencies. You need to do it manually while it could be fully automated! Add a Merge Queue to your workflow and stop caring about PR management & merging. Try Mergify for free.
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Seaweed File System
SeaweedFS is a fast distributed storage system for blobs, objects, files, and data lake, for billions of files! Blob store has O(1) disk seek, cloud tiering. Filer supports Cloud Drive, cross-DC active-active replication, Kubernetes, POSIX FUSE mount, S3 API, S3 Gateway, Hadoop, WebDAV, encryption, Erasure Coding. [Moved to: https://github.com/seaweedfs/seaweedfs] (by chrislusf)
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better rq alternative or higher similarity.
rq reviews and mentions
Posts with mentions or reviews of rq.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-22.
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The Many Problems with Celery
https://github.com/rq/rq is to the rescue.
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Keep the Monolith, but Split the Workloads
We use RQ[0], it has Redis as a dependency. It’s pretty straightforward and we’re very happy with it. If you are using Django you may want to look at Django RQ[1] as well. RQ has built in scheduling capabilities these days, but historically it did not so we used (and still use) RQ Scheduler[2] which I think still has some advantages over the built in stuff.
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SQL Maxis: Why We Ditched RabbitMQ and Replaced It with a Postgres Queue
Also had a similar experience using RabbitMQ with Django+Celery. Extremely complicated and workers/queues would just stop for no reason.
Moved to Python-RQ [1] + Redis and been rock solid for years now.
- What libraries do you use the most alongside django?
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Recommendations other than celery to send an API processing in background, which would only take 5 mins to process and API usage would be once a month or so.
Yep, rq is simple and good: https://python-rq.org/ It also has a Django wrapper: https://github.com/rq/django-rq
- Dynamically update periodic tasks in Celery and Django
- Celery + RabbitMQ alternatives
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Are there any self-hosted web front-ends or Discord bots I can run in front of the Python scripts?
It's just Flask for the API, rq for the queue and then a modified version of txt2img.py
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What is your favourite task queuing framework?
RQ -> ...?
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How to create multiple workers in Python-RQ?
We are using Django and Python's rq library. We are not using django-rq (Please let me know if there are advantages in using this)
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A note from our sponsor - Mergify
blog.mergify.com | 29 Sep 2023
Stats
Basic rq repo stats
26
9,130
7.8
5 days ago
rq/rq is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of rq is Python.
Write Clean Python Code. Always.
Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
www.sonarsource.com