Software Alternatives, Accelerators & Startups

recordit.co VS Dask

Compare recordit.co VS Dask and see what are their differences

recordit.co logo recordit.co

Make a short video capture of your desktop as a gif.

Dask logo Dask

Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love
  • recordit.co Landing page
    Landing page //
    2023-03-30
  • Dask Landing page
    Landing page //
    2022-08-26

recordit.co 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 recordit.co and Dask)
Screenshot Annotation
100 100%
0% 0
Workflows
0 0%
100% 100
Screen Recording
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 recordit.co and Dask

recordit.co 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 should be more popular than recordit.co. 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.

recordit.co mentions (2)

  • OffMyChest: My manager doesn't believe the bugs I encounter are real
    Just record it via video or gif. We used https://recordit.co and it simplified a lot of things. Source: 11 months ago
  • F-5 in full burner pulling slowly into vertical is somehow slower than a MiG-15 that just pulled a vertical split S? And yes, the MiG eventually caught up and gunned me
    Put it in a gif using reccordit and send us the link, otherwise there's very little analysis anyone can do with this still frame. https://recordit.co/. Source: about 3 years ago

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: 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

What are some alternatives?

When comparing recordit.co and Dask, you can also consider the following products

Greenshot - Greenshot is a free and open source screenshot tool that allows annotation and highlighting using the built-in image editor.

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

MWSnap - MWSnap is basically a free to use Windows snapping tools that are used for snapping any part of the screen that is currently displaying on the front of all opened programs and windows.

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

FastStone Capture - A powerful, lightweight, yet full-featured screen capture tool that allows you to easily capture...

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