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Dask VS Blaze

Compare Dask VS Blaze and see what are their differences

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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

Blaze logo Blaze

Blaze is an application launcher that distinguishes from amongst the others by being able to automate recurrent tasks performed in the file-system or even any application on Microsoft Windows.
  • Dask Landing page
    Landing page //
    2022-08-26
  • Blaze Landing page
    Landing page //
    2019-03-02

Dask videos

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DASK and Apache SparkGurpreet Singh Microsoft Corporation

More videos:

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

Blaze videos

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Fitbit Blaze REVIEW!

More videos:

  • Review - Should you get Blaze? | Operator Blaze Review [Arknights]
  • Review - NEW RENEGADE RAIDER SKIN REVIEW (Blaze Skin Review, Combos and Gameplay)

Category Popularity

0-100% (relative to Dask and Blaze)

Dask

Blaze

Workflows
100 100%
Workflows
0% 0
Productivity
0 0%
Productivity
100% 100
Databases
100 100%
Databases
0% 0
Apple Watch
0 0%
Apple Watch
100% 100

User comments

Share your experience with using Dask and Blaze. 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 Blaze

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

Blaze Reviews

Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
Blaze: This is an interface that queries data. Also, this is part of the "Blaze Ecosystem" which is a framework for an ETL process using Blaze, Dask, Datashape, DyND, and Odo.
Source: www.xplenty.com

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

Blaze mentions (0)

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

What are some alternatives?

When comparing Dask and Blaze, 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.

Versa - Free curated resources for talented individuals.

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

Fitbit Blaze - Fitbit Blaze is a smartwatch that includes both a heart rate monitor and a fitness activity tracker. It comes with a color touchscreen, and you can change both the watch's strap and frame. Read more about Fitbit Blaze.

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

Apple Watch - Apple Watch build with NextJS (ReactJS) & TailwindCSSGitHub repo: https://github.com/VishwaGauravIn/apple-watch

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