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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. AWS Tools
  5. Lambdoku vs troposphere

Lambdoku vs troposphere

OverviewComparisonAlternatives

Overview

troposphere
troposphere
Stacks24
Followers27
Votes0
GitHub Stars5.0K
Forks1.4K
Lambdoku
Lambdoku
Stacks0
Followers5
Votes0
GitHub Stars567
Forks12

Lambdoku vs troposphere: What are the differences?

Lambdoku: AWS Lambda with Heroku-like Experience. Heroku-like experience with AWS Lambdas; troposphere: Library to create AWS CloudFormation descriptions. The troposphere library allows for easier creation of the AWS CloudFormation JSON by writing Python code to describe the AWS resources. troposphere also includes some basic support for OpenStack resources via Heat.

Lambdoku and troposphere can be primarily classified as "AWS" tools.

Lambdoku and troposphere are both open source tools. troposphere with 3.65K GitHub stars and 1.12K forks on GitHub appears to be more popular than Lambdoku with 576 GitHub stars and 21 GitHub forks.

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Detailed Comparison

troposphere
troposphere
Lambdoku
Lambdoku

The troposphere library allows for easier creation of the AWS CloudFormation JSON by writing Python code to describe the AWS resources. troposphere also includes some basic support for OpenStack resources via Heat.

Heroku-like experience with AWS Lambdas.

Statistics
GitHub Stars
5.0K
GitHub Stars
567
GitHub Forks
1.4K
GitHub Forks
12
Stacks
24
Stacks
0
Followers
27
Followers
5
Votes
0
Votes
0
Pros & Cons
Pros
  • 0
    Infrastructure as code
No community feedback yet
Integrations
AWS CloudFormation
AWS CloudFormation
AWS Lambda
AWS Lambda

What are some alternatives to troposphere, Lambdoku?

LocalStack

LocalStack

LocalStack provides an easy-to-use test/mocking framework for developing Cloud applications.

AWS Amplify

AWS Amplify

A JavaScript library for frontend and mobile developers building cloud-enabled applications. The library is a declarative interface across different categories of operations in order to make common tasks easier to add into your application. The default implementation works with Amazon Web Services (AWS) resources but is designed to be open and pluggable for usage with other cloud services that wish to provide an implementation or custom backends.

awless

awless

awless is a fast, powerful and easy-to-use command line interface (CLI) to manage Amazon Web Services.

AWS CLI

AWS CLI

It is a unified tool to manage your AWS services. With just one tool to download and configure, you can control multiple AWS services from the command line and automate them through scripts.

Bash-My-AWS

Bash-My-AWS

It is a simple but extremely powerful set of CLI commands for managing resources on Amazon Web Services. They harness the power of Amazon's AWSCLI, while abstracting away verbosity. The project implements some innovative patterns but (arguably) remains simple, beautiful and readable.

AWS Shell

AWS Shell

The AWS Command Line Interface is a unified tool to manage your AWS services.

AWS Systems Manager

AWS Systems Manager

It is a secure end-to-end management solution for hybrid cloud environments. It centralizes operational data from multiple AWS services and automates tasks across your AWS resources. You can create logical groups of resources such as applications, different layers of an application stack, or production versus development environments.

AWS Organizations

AWS Organizations

It lets you create new AWS accounts at no additional charge. With accounts in an organization, you can easily allocate resources, group accounts, and apply governance policies to accounts or groups.

Vantage

Vantage

It is an alternative to the AWS console focused on developer experience and cost transparency. It is meant to work alongside your existing automation tools.

AWS Trusted Advisor

AWS Trusted Advisor

It provides recommendations that help you follow AWS best practices. Trusted Advisor evaluates your account by using checks. These checks identify ways to optimize your AWS infrastructure, improve security and performance, reduce costs, and monitor service quotas. You can then follow the recommendations to optimize your services and resources.

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