Based on our record, CircleCI seems to be a lot more popular than AWS Data Wrangler. While we know about 66 links to CircleCI, we've tracked only 4 mentions of AWS Data Wrangler. 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 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
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
CI *(in our case that’s CircleCI) we run it for each *Pull Request. - Source: dev.to / 7 days ago
In this article, we are going to provide simple and detailed step-by-step instruction on how to set up Continuous Delivery for your React Native Android application by using Fabric and CircleCI 2.0. - Source: dev.to / 9 days ago
In addition, Snyk can be easily integrated with various IDEs, including Visual Studio Code and PyCharm, as well as CI pipelines, such as Jenkins, CircleCI, and Maven, and workflows. - Source: dev.to / 24 days ago
Github Actions has many competitors in its category that allow you to run all kinds of code running on containers, such as Gitlab, Jenkins, CircleCI, etc. - Source: dev.to / 24 days ago
It will give you a possibility to find and solve problems faster, release more stable and higher quality products. Here we will use CircleCI, but you can use whatever you need (Jenkins, Travis CI, GitLab CI). - Source: dev.to / about 1 month ago
Dask - Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.
Celery - Celery helps innovative companies set up pre-order or custom crowdfunding campaigns anywhere.
Travis CI - Focus on writing code. Let Travis CI take care of running your tests and deploying your apps.