AWS CodeArtifact vs. Chocolatey vs. Conda vs. Wing Python IDE Comparison Chart

Store and share artifacts across accounts, with appropriate levels of access granted to your teams and build systems. Reduce overhead from setup and maintenance of an artifact server or infrastructure with a fully managed service. Only pay for software packages stored, number of requests made, and data transferred out of Region with pay-as-you-go pricing. Configure CodeArtifact to fetch from public repositories such as the npm Registry, Maven Central, Python Package Index (PyPI), and NuGet. Securely share private packages across organizations by publishing them to a central organizational repository. Build automated approval workflows with CodeArtifact APIs and Amazon EventBridge, with visibility into your packages using AWS CloudTrail. Pull dependencies from CodeArtifact in AWS CodeBuild and publish new versions of your private packages secured with AWS Identity and Access Management (IAM).

Package, dependency, and environment management for any language, Python, R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, Fortran, and more. Conda is an open-source package management system and environment management system that runs on Windows, macOS, Linux, and z/OS. Conda quickly installs, runs, and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. It was created for Python programs, but it can package and distribute software for any language. Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager, because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment.