Software Alternatives, Accelerators & Startups

Dask VS WuInstall

Compare Dask VS WuInstall and see what are their differences

Dask logo Dask

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

WuInstall logo WuInstall

WuInstall is a command line tool that makes it possible to install Windows Updates on demand.
  • Dask Landing page
    Landing page //
    2022-08-26
  • WuInstall Landing page
    Landing page //
    2021-09-19

Dask videos

DASK and Apache SparkGurpreet Singh Microsoft Corporation

More videos:

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

WuInstall videos

No WuInstall videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Dask and WuInstall)
Workflows
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Databases
100 100%
0% 0
Patch Management
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 Dask and WuInstall

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

WuInstall Reviews

We have no reviews of WuInstall yet.
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Social recommendations and mentions

Based on our record, Dask should be more popular than WuInstall. 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: over 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: over 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

WuInstall mentions (2)

  • Running All Windows Updated w/PowerShell
    I don't think either of those will, they will need WSUS. WUinstall can use an offline repo: https://wuinstall.com/. That is not cheap though. Source: 12 months ago
  • I don't hear about NinjaRMM too much around here, has patching gotten any better? How about their support?
    The patching actually uses WUInstall - https://wuinstall.com/ as the "patch management" agent, instead of some custom made/janky one. They must pay a hefty licensing fee to be able to use this. Source: about 3 years ago

What are some alternatives?

When comparing Dask and WuInstall, 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.

WSUS Offline Update - Using "WSUS Offline Update" (formerly known as "ct offline update" or "DIY...

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

WHDownloader - A lightweight and easy to use Downloader which allows you to find and apply the latest Microsoft Windows updates....

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

Batchpatch - Stop dreading Microsoft’s Patch Tuesday every month and finally take control of your patching...