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About

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. We are happy to receive feedback and contributions. Deequ depends on Java 8. Deequ version 2.x only runs with Spark 3.1, and vice versa. If you rely on a previous Spark version, please use a Deequ 1.x version (legacy version is maintained in legacy-spark-3.0 branch). We provide legacy releases compatible with Apache Spark versions 2.2.x to 3.0.x. The Spark 2.2.x and 2.3.x releases depend on Scala 2.11 and the Spark 2.4.x, 3.0.x, and 3.1.x releases depend on Scala 2.12. Deequ's purpose is to "unit-test" data to find errors early, before the data gets fed to consuming systems or machine learning algorithms. In the following, we will walk you through a toy example to showcase the most basic usage of our library.

About

Thousands of smart newsletter creators use SparkLoop to get more, high-quality email subscribers on autopilot. You should too. With SparkLoop it's easy to reward your subscribers for sharing your newsletter with their friends. So you grow faster, improve subscriber engagement, and spend less money and time on growth. Unlike other referral tools, SparkLoop was built for newsletters. So you can set up your powerful referral program, exactly like Morning Brew, in just a few clicks. No developers, code or Zapier hacks needed! Give all your subscribers a unique referral link, right inside your newsletter. Incentivize your subscribers to share their referral link with rewards and giveaways. Watch your audience grow your email-list for you, from your SparkLoop dashboard. The biggest and best newsletters on the web trust SparkLoop to help them grow. With advanced fraud prevention, full white-label and enterprise-grade security, we're the only solution you can trust.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Anyone looking for an Unit Testing solution that measures data quality in large datasets

Audience

Newsletter creators seeking a referral tool solution to get more high-quality email subscribers on autopilot

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$99 per month
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Deequ
github.com/awslabs/deequ

Company Information

SparkLoop
Founded: 2020
United Kingdom
sparkloop.app/

Alternatives

Spark Streaming

Spark Streaming

Apache Software Foundation

Alternatives

eLoop

eLoop

Gold Lasso
YoRefer

YoRefer

Subpixel Software Ltd
Apache Spark

Apache Spark

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation

Categories

Unit Testing Supported

Categories

Referral Supported

Integrations

AWeber Not Supported
ActiveCampaign Not Supported
Apache Spark Supported
Campaign Monitor Not Supported
Drip Not Supported
Ghost Not Supported
Hype Not Supported
Kit Not Supported
Mailchimp Not Supported
MailerLite Not Supported
Zapier Not Supported

Integrations

AWeber Supported
ActiveCampaign Supported
Apache Spark Not Supported
Campaign Monitor Supported
Drip Supported
Ghost Supported
Hype Supported
Kit Supported
Mailchimp Supported
MailerLite Supported
Zapier Supported
Claim Deequ and update features and information
Claim Deequ and update features and information
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Claim SparkLoop and update features and information