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Dask VS Celery

Compare Dask VS Celery and see what are their differences

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  2. » Videos
  3. » Reviews
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Dask logo Dask

Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love

Celery logo Celery

Celery helps innovative companies set up pre-order or custom crowdfunding campaigns anywhere.
  • Dask Landing page
    Landing page //
    2022-08-26
  • Celery Landing page
    Landing page //
    2021-10-19

Dask videos

+ Add

DASK and Apache SparkGurpreet Singh Microsoft Corporation

More videos:

  • Review - VLOGTOBER : dask kitchen review ,groceries ,drinks
  • Review - Dask Futures: Introduction

Celery videos

+ Add

Medical Medium Anthony William on the Dos and Don’ts of Celery Juice

More videos:

  • Review - Celery Juice Review: I Drank Celery Juice for 7 Days & This Is What Happened
  • Review - CELERY JUICE REVIEW | Medical medium's celery juice for 2 months | Honest Experience | Georgia Gibbs

Category Popularity

0-100% (relative to Dask and Celery)

Dask

Celery

Workflows
100 100%
Workflows
0% 0
Data Integration
0 0%
Data Integration
100% 100
Databases
100 100%
Databases
0% 0
Stream Processing
0 0%
Stream Processing
100% 100

User comments

Share your experience with using Dask and Celery. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Dask and Celery

Dask Reviews

Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
Dask: You can use Dask for Parallel computing via task scheduling. It can also process continuous data streams. Again, this is part of the "Blaze Ecosystem."
Source: www.xplenty.com

Celery Reviews

We have no reviews of Celery yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Dask seems to be more popular. It has been mentiond 16 times since March 2021. 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.

Dask mentions (16)

  • Large Scale Hydrology: Geocomputational tools that you use
    We're using a lot of Python. In addition to these, gridMET, Dask, HoloViz, and kerchunk. Source: about 2 years ago
  • msgspec - a fast & friendly JSON/MessagePack library
    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
  • What does it mean to scale your python powered pipeline?
    Dask: Distributed data frames, machine learning and more. - Source: dev.to / over 2 years ago
  • Data pipelines with Luigi
    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
  • How to load 85.6 GB of XML data into a dataframe
    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
View more

Celery mentions (0)

We have not tracked any mentions of Celery yet. Tracking of Celery recommendations started around Mar 2021.

What are some alternatives?

When comparing Dask and Celery, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Enqueue It - Easy and scalable solution for manage and execute background tasks seamlessly in .NET applications. It allows you to schedule, queue, and process your jobs and microservices efficiently.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Hangfire - An easy way to perform background processing in .NET and .NET Core applications.

NumPy - NumPy is the fundamental package for scientific computing with Python

Sidekiq - Sidekiq is a simple, efficient framework for background job processing in Ruby

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