ci-mgmt VS pulumi-examples

Compare ci-mgmt vs pulumi-examples and see what are their differences.

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ci-mgmt pulumi-examples
1 9
7 46
- -
9.5 7.0
1 day ago 5 months ago
TypeScript Python
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ci-mgmt

Posts with mentions or reviews of ci-mgmt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-21.

pulumi-examples

Posts with mentions or reviews of pulumi-examples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-21.

What are some alternatives?

When comparing ci-mgmt and pulumi-examples you can also consider the following projects:

pulumi-aws-native - AWS Native Provider for Pulumi

examples - Infrastructure, containers, and serverless apps to AWS, Azure, GCP, and Kubernetes... all deployed with Pulumi

civo-production-ready-kubernetes - The repository for the CIVO Navigate talk: How To Build A Production Ready Kubernetes

office-booker - Demand management for offices

pulumi-terraform - A resource package that allows Pulumi programs to use Terraform state

bfpy - Python to Brainfuck transpiler

serverless - This is intended to be a repo containing all of the official AWS Serverless architecture patterns built with CDK for developers to use. All patterns come in Typescript and Python with the exported CloudFormation also included.

c2bf - Compiler from C to brainfuck

pulumi-cdk - Pulumi/CDK Interop Library

ol-infrastructure - Infrastructure automation code for use by MIT Open Learning