Software Alternatives, Accelerators & Startups

AWS Data Wrangler VS Cypress.io

Compare AWS Data Wrangler VS Cypress.io and see what are their differences

AWS Data Wrangler logo AWS Data Wrangler

Pandas on AWS. Contribute to awslabs/aws-data-wrangler development by creating an account on GitHub.

Cypress.io logo Cypress.io

Slow, difficult and unreliable testing for anything that runs in a browser. Install Cypress in seconds and take the pain out of front-end testing.
  • AWS Data Wrangler Landing page
    Landing page //
    2023-08-29
  • Cypress.io Landing page
    Landing page //
    2023-04-17

AWS Data Wrangler videos

AWS Tutorials - Introduction to AWS Data Wrangler

More videos:

  • Review - AWS Data Wrangler: Get Glue Catalog Table Description
  • Review - AWS Data Wrangler: Write Parquet to AWS S3

Cypress.io videos

Introduction to automation testing with Cypress.io (Non-selenium framework)

More videos:

  • Review - Testing Angular with Cypress.io | Joe Eames | AngularConnect 2018

Category Popularity

0-100% (relative to AWS Data Wrangler and Cypress.io)
Databases
100 100%
0% 0
Automated Testing
0 0%
100% 100
Data Science And Machine Learning
Browser Testing
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 AWS Data Wrangler and Cypress.io

AWS Data Wrangler Reviews

We have no reviews of AWS Data Wrangler yet.
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Cypress.io Reviews

20 Best JavaScript Frameworks For 2023
Cypress is a holistic automation testing framework where the tester can perform unit, integration, end-to-end, and regression testing. Additionally, they may orchestrate and unify outcomes with quality measurements and useful insights that support the agile workplace by leveraging the Cypress cloud.
Top 10 Perfecto alternatives with Zebrunner on top
- is a SaaS web app for easy scaling test runs and debugging failed tests. Pairs with the open source Cypress Test Runner.
Source: zebrunner.com

Social recommendations and mentions

Based on our record, Cypress.io should be more popular than AWS Data Wrangler. It has been mentiond 26 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.

AWS Data Wrangler mentions (4)

  • Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
    I had no problem with awswrangler (https://github.com/aws/aws-sdk-pandas) and it supports reading and writing partitions which was really helpful and a few other optimizations that made it a great tool. Source: 6 months ago
  • Redshift API vs. other ways to connect?
    Awslabs has developed their own package for this and given it's for their product, seem likely to maintain it. https://github.com/awslabs/aws-data-wrangler. Source: over 2 years ago
  • Parquet files
    AWS data wrangler works well. it's a wrapper on pandas: https://github.com/awslabs/aws-data-wrangler. Source: over 2 years ago
  • Go+: Go designed for data science
    Yep, agreed. Go is a great language for AWS Lambda type workflows. Python isn't as great (Python Lambda Layers built on Macs don't always work). AWS Data Wrangler (https://github.com/awslabs/aws-data-wrangler) provides pre-built layers, which is a work around, but something that's as portable as Go would be the best solution. - Source: Hacker News / about 3 years ago

Cypress.io mentions (26)

  • Simulating Internet Outage and Recovery using Cypress
    In this blog post, we'll explore a Cypress test that replicates this scenario, utilizing the powerful intercept command to manipulate network requests and responses. - Source: dev.to / 4 months ago
  • Scraping a site?
    Maybe something like Cypress is what you're looking for? Cypress.io. Source: about 1 year ago
  • How to write tests in Django for JavaScript fetch
    You won't be able to test the javascript function itself from within python, but you can exercise the front-end code using something like cypress (https://cypress.io) or the older but still respectable selenium (https://selenium.dev). Source: about 1 year ago
  • What's your CI/CD flow made of?
    How are they run (services (ie. GitHub Action Runners, SauceLabs, Cypress.io, etc.), or self hosted autoscaling infrastructures)? Source: over 1 year ago
  • React, Vite and TypeScript: Get started in under 2 minutes
    You might have noticed the e2e folder. That's a fully-functioning setup of Cypress for doing integration-level or even full end-to-end tests. - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing AWS Data Wrangler and Cypress.io, you can also consider the following products

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

Selenium - Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Robot framework - Robot Framework is a generic test automation framework for acceptance testing and acceptance...

Kafka - Apache Kafka is publish-subscribe messaging rethought as a distributed commit log.

puppeteer - Puppeteer is a Node library which provides a high-level API to control headless Chrome or Chromium...