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Yet another deploy tool for AWS Lambda in the virtualenv environment.

Project description

Yet another deploy tool for AWS Lambda in the virtualenv.


  • Python2.7
  • virtualenv


pip install lamvery


At first,

lamvery init

And put your lamvery.yml like this.

  name: sample_lambda_function
  runtime: python2.7
  role: arn:aws:iam::000000000000:role/lambda_basic_execution
  handler: lambda_function.lambda_handler
  description: This is sample lambda function.
  timeout: 10
  memory_size: 128
  publish: true


  • Archive your code and libraries to <your-function-name>.zip
lamvery archive
  • Archive and deploy your code and libraries
lamvery deploy


  • -f or --file
Specify the configuration file.
default: lamvery.yml



The name of your function.


The runtime environment for the Lambda function you are uploading.
Currently, lamvery supports only python2.7.


The Amazon Resource Name (ARN) of the IAM role for your function.


The function within your code that Lambda calls to begin execution.


The description of your function.


The function execution time(seconds) at which Lambda should terminate the function.


The amount of memory for your function environment.


This boolean parameter can be used to request AWS Lambda to create/update the Lambda function and publish a version as an atomic operation.


Pull requests are very welcome! Make sure your patches are well tested. Ideally create a topic branch for every separate change you make. For example:

  1. Fork the repo
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Added some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create new Pull Request


Created and maintained by Masashi Terui (


MIT License (see LICENSE)

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