Software Alternatives & Reviews

Dask VS Hangfire

Compare Dask VS Hangfire 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

Hangfire logo Hangfire

An easy way to perform background processing in .NET and .NET Core applications.
  • Dask Landing page
    Landing page //
    2022-08-26
  • Hangfire Landing page
    Landing page //
    2023-10-04

Dask videos

DASK and Apache SparkGurpreet Singh Microsoft Corporation

More videos:

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

Hangfire videos

AK 47 Wasr Hangfire - shooter beware

Category Popularity

0-100% (relative to Dask and Hangfire)
Workflows
100 100%
0% 0
Data Integration
0 0%
100% 100
Databases
100 100%
0% 0
Web Service Automation
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 Hangfire

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

Hangfire Reviews

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

Based on our record, Dask should be more popular than Hangfire. 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

Hangfire mentions (5)

  • Do I need message queues for sending emails/texts via services like SendGrid, AWS SES, Twilio etc.? How do you decide if you need message queues or not? What questions do you ask yourself?
    Hangfire (https://hangfire.io) includes default exception handling and is very extensible, I think it's a good mid-level choice and a good alternative to other queue mechanism, if you can't afford to host a separated queue service or can't manage a separated service; also scales pretty well (you can have multiple servers handling the same background job queue, or different queues). It runs on Sql Server and MySql... Source: almost 2 years ago
  • jsonb in postgres and should I use it or not?
    I used to just use hangfire.io in .net and worked wonderfully for any long running tasks or schedules. Had a great queuing system, UI to know if they failed , etc. That's how I'd send emails, pdf's, and other things along that nature. Then if it were more just a db related operation, just setup a schedule in mssql job service. Source: almost 2 years ago
  • How can In make a function run at a certain date in the future?
    You can use hangfire for cronjob, to run at a time in future, you can use Hangfire.Schedule(jobid, datetime). Source: almost 2 years ago
  • How to handle processing of an entity through different states?
    So another option is to use something like https://hangfire.io to pull the jobs and process them? Source: about 2 years ago
  • How to update database in a Parallel.For loop?
    I've got a fairly large process I need to handle in background on my .net core web app so I've exported it to a background task using Hangfire. Source: almost 3 years ago

What are some alternatives?

When comparing Dask and Hangfire, 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.

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

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

RabbitMQ - RabbitMQ is an open source message broker software.

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