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Latest commit 4ec88bf Jan 10, 2018 @toddmazierski toddmazierski Release v0.71.0

Code Climate CLI

Code Climate


codeclimate is a command line interface for the Code Climate analysis platform. It allows you to run Code Climate engines on your local machine inside of Docker containers.


The Code Climate CLI is distributed and run as a Docker image. The engines that perform the actual analyses are also Docker images. To support this, you must have Docker installed and running locally. We also require that the Docker daemon supports connections on the default Unix socket /var/run/docker.sock.

On macOS, we recommend using Docker for Mac.


docker pull codeclimate/codeclimate


docker run \
  --interactive --tty --rm \
  --volume "$PWD":/code \
  --volume /var/run/docker.sock:/var/run/docker.sock \
  --volume /tmp/cc:/tmp/cc \
  codeclimate/codeclimate help


The above is very transparent. It's clear what's happening, and any changes required to work with your specific Docker setup can be discovered easily. That said, it can be unwieldy to invoke such a command on a regular basis.

For this reason, we also provide packages that include a small wrapper script for the above invocation:


brew tap codeclimate/formulae
brew install codeclimate

To update the brew package, use brew update first:

brew update
brew upgrade codeclimate


curl -L | tar xvz
cd codeclimate-* && sudo make install

To upgrade to a newer version, just run those steps again.


A list of available commands is accessible by running codeclimate or codeclimate help.

$ codeclimate help

Available commands:
    analyze [-f format] [-e engine(:channel)] [--dev] [path]

The following is a brief explanation of each available command.

  • analyze Analyze all relevant files in the current working directory. All engines that are enabled in your .codeclimate.yml file will run, one after another. The -f (or format) argument allows you to set the output format of the analysis (using json, text, or html). The --dev flag lets you run engines not known to the CLI, for example if you're an engine author developing your own, unreleased image.

    You can optionally provide a specific path to analyze. If not provided, the CLI will analyze your entire repository, except for your configured exclude_paths. When you do provide an explicit path to analyze, your configured exclude_paths are ignored, and normally excluded files will be analyzed.

    You can also pipe in source in combination with a path to analyze code that is not yet written to disk. This is useful when you want to check if your source code style matches the project's. This is also a good way to implement integration with an editor to check style on the fly.

  • console start an interactive session providing access to the classes within the CLI. Useful for engine developers and maintainers.

  • engines:install Compares the list of engines in your .codeclimate.yml file to those that are currently installed, then installs any missing engines.

  • engines:list Lists all available engines in the Code Climate Docker Hub .

  • help Displays a list of commands that can be passed to the Code Climate CLI.

  • validate-config Validates the .codeclimate.yml file in the current working directory.

  • version Displays the current version of the Code Climate CLI.

Environment Variables

  • To run codeclimate in debug mode:

    CODECLIMATE_DEBUG=1 codeclimate analyze

    Prints additional information about the analysis steps, including any stderr produced by engines.

  • To increase the amount of time each engine container may run (default 15 min):

    # 30 minutes
    CONTAINER_TIMEOUT_SECONDS=1800 codeclimate analyze
  • You can also configure the default alotted memory with which each engine runs (default is 1,024,000,000 bytes):

    # 2,000,000,000 bytes
    ENGINE_MEMORY_LIMIT_BYTES=2000000000 codeclimate analyze