Installing coala Natively¶
If you have a working docker and you do not want to work with python, go to the bottom on the docker setup.
This page will run you through the installation of coala without docker. coala currently supports Linux and Windows, and is known to work on OS X (meaning we do not have continuous integration for it but it works).
Installing Python and Pip¶
In order to use coala, you need Python installed. In order to do so, you should install Python >= 3.4 from here.
The easiest way to install coala is using pip (Pip Installs Packages). If you don’t already have pip, you can install it like described in the pip installation guide.
Pip is shipped with recent Python versions by default.
To check whether you have pip installed, type the following command which will also show you more information about your current pip version:
$ pip show pip
Make sure you have pip >= 8 installed as older versions might prevent coala from being installed properly.
There are three ways of installing coala. By using a virtualenv, by installing it system-wide or directly from source.
After successfully installing coala, you will need to install all the dependencies the bears have.
System Wide Installation¶
The simplest way to install coala is to do it system-wide, but this is generally discouraged in favor of using a virtualenv.
To install the latest most stable version of coala and supported bears system-wide, use:
$ pip3 install coala-bears
For this and all future steps, some steps require root access (also known as administrative privileges in Windows).
Unix based (OS X, Linux) - This can be achieved by using
in front of the command, as in:
sudo command_name instead of
Windows - The easiest way on Windows is to start a
command prompt as an administrator and start
To install the nightly build from our master branch, you can do:
$ pip3 install coala-bears --pre
To install coala only (without any bears), you can do:
$ pip3 install coala
Installing inside a virtualenv¶
Virtualenv is probably what you want to use during development. You can read more about it at the virtualenv documentation.
First, we need to install virtualenv to the system. You may already have this
pyvenv. If you do not, this can be done
$ pip3 install virtualenv
Once you have virtualenv installed, just fire up a shell and create
your own environment. I usually create a project folder and a
$ virtualenv venv
Now, whenever you want to work on the project, you only have to activate the corresponding environment.
On Unix based systems (OS X and Linux), this can be done with:$ source venv/bin/activate
And on Windows this is done with:$ venv\scripts\activate
Finally, you should install coala and the supported bears inside the activated virtualenv with:
(venv)$ pip3 install coala-bears
Using coala With Docker¶
Use this installation method if you just simply want to use coala.
The recommended way to use coala is using docker: coala has a lot of dependencies because it has so much code analysis for so many languages. If you use our docker image, you can run it like any other tool but you do not need to care about those! The general command to run coala is:
$ docker run -ti -v $(pwd):/app --workdir=/app coala/base coala --version
This will automatically download the docker image with all the coala dependencies for you. The image may take up a bit over 2GB of space on your disk. Check out the native installation if this is not for you.
If you use windows, you can install docker easiest [here](https://www.docker.com/products/docker-toolbox).
Bleeding edge installation¶
$ pip3 install coala-bears --pre
Also check out the Developers Setup docs.
Alternate location installation¶
If you want to install coala to an alternate location, you can e.g. call
python3 setup.py install --prefix=/your/prefix/location. Other installation
options are documented in the
If you are using a proxy, follow these steps:
- Set up your system-wide proxy.
sudo -E pip3 install coala(the
-Eflag takes the existing environment variables into the
You could also set your pip.conf file to use a proxy. To find out more, read Using pip behind a proxy on StackOverflow for further clarification.
Those dependencies are not mandatory. You may install all of the dependencies if you want to install all the bears. The bear application also asks for the packages needed in case it does not have it.
The requirements files ( Gemfile, requirements.txt, etc.) are in the coala-bears repository and you should not get them from source, but you should git clone the repository if you want to execute those commands.
This section lists dependencies of coala that are not automatically
installed. On Windows, you can get many with
(https://www.nuget.org/). On Mac, Homebrew will help you installing
dependencies (http://brew.sh/). These dependencies require you to have
order for them to be usable, you need to install them via
(http://nodejs.org/), while in the project directory:
$ npm install -g
If a bear still doesn’t work for you, please make sure that you have a
recent version of
npm installed. Many linux distributions ship a
very old one.
There are also a few bears which rely on Ruby Gems. In order to install them,
you will need
Gem (https://rubygems.org/pages/download/) installed
$ gem install bundler
Then, simply run:
$ bundle install $ git add Gemfile Gemfile.lock
Some bears need some binary dependencies. Some of those include:
- PHPLintBear: Install
- GNUIndentBear: Install
indent(be sure to use GNU Indent, Mac ships a non-GNU version that lacks some functionality.)
- CSharpLintBear: Install
For further help with installing bears with binary dependencies, don’t hesitate to get in touch with us.
coala features some bears that make use of Clang. In order for them to
work, you need to install
apt-get install libclang1
dnf install clang-libs(Use
dnfon Fedora 21 or lower.)
pacman -Sy clang
nuget install ClangSharp
- OS X:
brew install llvm --with-clang
If these do not help you, search for a package that contains
On Windows, you need to execute this command to add the libclang path to the PATH variable permanently (you need to be an administrator):
setx PATH "%PATH%;%cd%\ClangSharp.XXX\content\x86" \M
For x86 python or for x64 python:
setx PATH "%PATH%;%cd%\ClangSharp.XXX\content\x64" \M
Replace “XXX” with the ClangSharp version you received from nuget.
In case you are getting
ValueError:('Expected version spec in', 'appdirs ~=1.4.0', 'at',
' ~=1.4.0'), then don’t panic. It happens when you are using an outdated
version of pip that doesn’t support our version specifiers yet.
Ideally, you have to create a virtual environment with a newer pip:$ pip3 install virtualenv $ virtualenv -p python3 ~/venv/coala $ . ~/venv/coala/bin/activate $ pip install -U pip $ pip install coala-bears
You have to activate this virtualenv on every terminal session you want to use coala though (tip: add it to bashrc!).
coala documentation is in a separate repository. First you need to install the requirements:
$ pip3 install -r docs-requirements.txt
To generate the documentation coala uses sphinx. Documentation can be generated by running the following command while in root directory of the repository:
$ make html
You can then open
_build\html\index.html in your favourite
See Writing Documentation for more information.