Software Alternatives & Reviews

AWS Data Wrangler VS Serverspec

Compare AWS Data Wrangler VS Serverspec 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.

Serverspec logo Serverspec

Serverspec.github.com :
  • AWS Data Wrangler Landing page
    Landing page //
    2023-08-29
  • Serverspec Landing page
    Landing page //
    2020-02-21

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

Serverspec videos

No Serverspec videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to AWS Data Wrangler and Serverspec)
Databases
100 100%
0% 0
Automated Testing
0 0%
100% 100
Data Science And Machine Learning
Testing
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, AWS Data Wrangler should be more popular than Serverspec. It has been mentiond 4 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: 5 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

Serverspec mentions (1)

  • Unit test for an installer
    I worry that using two different testing frameworks will result in unbalanced coverage: consider using a BDD testing framework that can be applied to both Linux and Windows hosts, maybe serverspec would have some of the pieces you need? Source: almost 2 years ago

What are some alternatives?

When comparing AWS Data Wrangler and Serverspec, 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

RSpec - RSpec is a testing tool for the Ruby programming language born under the banner of Behavior-Driven Development featuring a rich command line program, textual descriptions of examples, and more.

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

Cucumber - Cucumber is a BDD tool for specification of application features and user scenarios in plain text.

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

JUnit - JUnit is a simple framework to write repeatable tests.