Serverspec
RSpec
Cucumber
JUnit
Capybara
Ansible
Mocha
Jest
AWS Data Wrangler
Dask
Apache Spark
Kafka
Celery
Apache Airflow
RSpec
OpenCV
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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.
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
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
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
AWS data wrangler works well. it's a wrapper on pandas: https://github.com/awslabs/aws-data-wrangler. Source: over 2 years ago
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
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.
Dask - Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love
Cucumber - Cucumber is a BDD tool for specification of application features and user scenarios in plain text.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
JUnit - JUnit is a simple framework to write repeatable tests.
Kafka - Apache Kafka is publish-subscribe messaging rethought as a distributed commit log.
