WebSparks

WebSparks

WebSparks.AI
+
+

Related Products

  • SenseIP
    1 Rating
    Visit Website
  • Vertex AI
    944 Ratings
    Visit Website
  • Google Cloud Platform
    60,526 Ratings
    Visit Website
  • Parasoft
    142 Ratings
    Visit Website
  • Gearset
    249 Ratings
    Visit Website
  • qTest
    Visit Website
  • AnalyticsCreator
    46 Ratings
    Visit Website
  • dbt
    237 Ratings
    Visit Website
  • pCloud
    182 Ratings
    Visit Website
  • RunMyJobs by Redwood
    423 Ratings
    Visit Website

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

WebSparks is an AI-powered platform that enables users to transform ideas into production-ready applications swiftly and efficiently. By interpreting text descriptions, images, and sketches, it generates complete full-stack applications featuring responsive frontends, robust backends, and optimized databases. With real-time previews and one-click deployment, WebSparks streamlines the development process, making it accessible to developers, designers, and non-coders alike. WebSparks is a full-stack AI software engineer.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Users interested in a full-stack AI software engineer

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$15/month
Free Version
Free Trial

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

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Deequ
github.com/awslabs/deequ

Company Information

WebSparks.AI
Bangladesh
websparks.ai/

Alternatives

Spark Streaming

Spark Streaming

Apache Software Foundation

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation
v0

v0

Vercel
Apache Mahout

Apache Mahout

Apache Software Foundation

Categories

Categories

Integrations

Apache Spark
Figma

Integrations

Apache Spark
Figma
Claim Deequ and update features and information
Claim Deequ and update features and information
Claim WebSparks and update features and information
Claim WebSparks and update features and information