Software Alternatives & Reviews

Horovod VS Dask

Compare Horovod VS Dask and see what are their differences

Horovod logo Horovod

Uber’s open source distributed Deep Learning framework

Dask logo Dask

Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love
  • Horovod Landing page
    Landing page //
    2023-08-18
  • Dask Landing page
    Landing page //
    2022-08-26

Horovod videos

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Dask videos

DASK and Apache SparkGurpreet Singh Microsoft Corporation

More videos:

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

Category Popularity

0-100% (relative to Horovod and Dask)
AI
100 100%
0% 0
Workflows
0 0%
100% 100
Productivity
100 100%
0% 0
Databases
0 0%
100% 100

User comments

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Reviews

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

Horovod Reviews

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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

Social recommendations and mentions

Based on our record, Dask seems to be a lot more popular than Horovod. While we know about 16 links to Dask, we've tracked only 1 mention of Horovod. 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.

Horovod mentions (1)

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

What are some alternatives?

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

PyText - Facebook's open source conversational AI tech

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

nlp_compromise - NLP tool for understanding, changing & playing w/ english.

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

Lobe - Visual tool for building custom deep learning models

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