Dask VS Sidekiq
Compare Dask VS Sidekiq and see what are their differences
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Dask
Pandas
Apache Airflow
NumPy
Apache Spark
Burla
Celery
SciPy
Sidekiq
Hangfire
Resque
delayed_job
Enqueue It
RabbitMQ
Apache Kafka
Amazon SQS
SidekiqSidekiq might be a bit more popular than Dask. We know about 20 links to it since March 2021 and only 16 links to Dask. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
We're using a lot of Python. In addition to these, gridMET, Dask, HoloViz, and kerchunk. Source: about 2 years ago
I wrote this for speeding up the RPC messaging in dask, but figured it might be useful for others as well. The source is available on github here: https://github.com/jcrist/msgspec. Source: about 2 years ago
Dask: Distributed data frames, machine learning and more. - Source: dev.to / over 2 years ago
To do that, we are efficiently using Dask, simply creating on-demand local (or remote) clusters on task run() method:. - Source: dev.to / over 2 years ago
I’m quite sure dask helps and has a pandas like api though will use disk and not just RAM. Source: over 2 years ago
Sidekiq https://sidekiq.org/: This one started as an open source project, once it got enough traction, the developer made a premium version of it, and makes money by selling licenses to businesses. Source: 5 months ago
> I'm not sure feature withholding has traditionally worked out well in the developer space. I think it's worked out well for Sidekiq (https://sidekiq.org). I really like their model of layering valuable features between the OSS / Pro / Enterprise licenses. - Source: Hacker News / 8 months ago
The code above isn't idempotent. If you run it twice, it will create two copies, which is probably not what you intended. Why is this important? Because most backend job processors like Sidekiq don't make any guarantees that your jobs will run exactly once. - Source: dev.to / 12 months ago
Relevant Patio11 comment from 2016: > We don't donate to OSS software which we use, because we're legally not allowed to. > I routinely send key projects, particularly smaller projects, a request to quote me a commercial license of their project, with the explanation that I would accept a quote of $1,000 and that the commercial license can be their existing OSS license plus an invoice. My books suggest we've spent... - Source: Hacker News / over 1 year ago
So how do we trigger such a long-running process from a Rails request? The first option that comes to mind is a background job run by some of the queuing back-ends such as Sidekiq, Resque or DelayedJob, possibly governed by ActiveJob. While this would surely work, the problem with all these solutions is that they usually have a limited number of workers available on the server and we didn’t want to potentially... - Source: dev.to / about 2 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Hangfire - An easy way to perform background processing in .NET and .NET Core applications.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Resque - Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.
NumPy - NumPy is the fundamental package for scientific computing with Python
delayed_job - Database based asynchronous priority queue system -- Extracted from Shopify - collectiveidea/delayed_job