orchestrating contaiers for testing?

This page summarizes the projects mentioned and recommended in the original post on /r/learnpython

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  • seaworthy

    Test harness for Docker container images 🌊 🚢 (by praekeltfoundation)

  • - https://github.com/praekeltfoundation/seaworthy but you have to recreate a manifest with code. Not ideal for mildly complex stuff. 3+years was last commit :(( - https://github.com/testcontainers/testcontainers-python which is weirdly specific to certain container images. Again, not working off a manifest (I think), 1 months since last commit. :( - https://github.com/vapor-ware/kubetest which uses kubernetes(k8s) manifests and integrates with pyTest. Last commit 10 month ago.

  • testcontainers-python

    Testcontainers is a Python library that providing a friendly API to run Docker container. It is designed to create runtime environment to use during your automatic tests.

  • - https://github.com/praekeltfoundation/seaworthy but you have to recreate a manifest with code. Not ideal for mildly complex stuff. 3+years was last commit :(( - https://github.com/testcontainers/testcontainers-python which is weirdly specific to certain container images. Again, not working off a manifest (I think), 1 months since last commit. :( - https://github.com/vapor-ware/kubetest which uses kubernetes(k8s) manifests and integrates with pyTest. Last commit 10 month ago.

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  • kubetest

    Kubernetes integration testing in Python via pytest

  • - https://github.com/praekeltfoundation/seaworthy but you have to recreate a manifest with code. Not ideal for mildly complex stuff. 3+years was last commit :(( - https://github.com/testcontainers/testcontainers-python which is weirdly specific to certain container images. Again, not working off a manifest (I think), 1 months since last commit. :( - https://github.com/vapor-ware/kubetest which uses kubernetes(k8s) manifests and integrates with pyTest. Last commit 10 month ago.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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