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AWS CodeStar
AWS CodeStar

9
19
+ 1
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PythonAnywhere
PythonAnywhere

45
64
+ 1
19
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AWS CodeStar vs PythonAnywhere: What are the differences?

Developers describe AWS CodeStar as "Quickly Develop, Build, and Deploy Applications on AWS". Start new software projects on AWS in minutes using templates for web applications, web services and more. On the other hand, PythonAnywhere is detailed as "Micro PaaS for Python web apps. Develop and host Python from your browser". It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps.

AWS CodeStar and PythonAnywhere can be primarily classified as "Platform as a Service" tools.

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What is AWS CodeStar?

Start new software projects on AWS in minutes using templates for web applications, web services and more.

What is PythonAnywhere?

It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps.
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    What tools integrate with AWS CodeStar?
    What tools integrate with PythonAnywhere?
    What are some alternatives to AWS CodeStar and PythonAnywhere?
    Jenkins
    In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.
    AWS CodeCommit
    CodeCommit eliminates the need to operate your own source control system or worry about scaling its infrastructure. You can use CodeCommit to securely store anything from source code to binaries, and it works seamlessly with your existing Git tools.
    Heroku
    Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
    AWS CodePipeline
    CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.
    Google App Engine
    Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
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