Skip to main content

Code Analysis Application (coala)

Project description

README

                                                     .o88Oo._
                                                    d8P         .ooOO8bo._
                                                    88                  '*Y8bo.
                                      __            YA                      '*Y8b   __
                                    ,dPYb,           YA                        68o68**8Oo.
                                    IP'`Yb            "8D                       *"'    "Y8o
                                    I8  8I             Y8     'YB                       .8D
                                    I8  8P             '8               d8'             8D
                                    I8  8'              8       d8888b          d      AY
     ,gggo,    ,ggggo,    ,gggo,gg  I8 dP    ,gggo,gg   Y,     d888888         d'  _.oP"
    dP"  "Yb  dP"  "Y8go*8P"  "Y8I  I8dP    dP"  "Y8I    q.    Y8888P'        d8
   i8'       i8'    ,8P i8'    ,8I  I8P    i8'    ,8I     "q.  `Y88P'       d8"
  ,d8,_    _,d8,   ,d8' d8,   ,d8b,,d8b,_ ,d8,   ,d8b,       Y           ,o8P
ooP""Y8888PP*"Y8888P"   "Y8888P"`Y88P'"Y88P"Y8888P"`Y8            oooo888P"

INSTALLATION

coala can be installed with pip install coala. If you need more information about the installation and dependencies, take a look at our installation documentation.

The latest code from master is automatically deployed to PyPI as a development version. Get it with pip install coala --pre.

To get the supported bears along with coala, check out coala-bears.

PyPI

USAGE

If you want to learn more about coala, its functionality and its usage, please take a look at our tutorial.

ABOUT

coala is a simple COde AnaLysis Application. Its goal is to make static code analysis easy while remaining completely modular and therefore extendable and language independent. coala is written with a lower case “c”.

Read more at our documentation.

Authors

coala is maintained by a growing community. Please take a look at the meta information in setup.py for current maintainers.

Project Status

Linux Build Status Windows Build status OSX Build status

Scrutinizer Code Quality codecov.io

Documentation Status

GETTING INVOLVED

If you want to contribute to coala, please take a look at the Getting Involved Information.

We appreciate any help!

https://gitter.im/coala-analyzer/coala

LICENSE

AGPL

This code falls under the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

Please note that some files or content may be copied from other places. Most of them are GPL compatible. There is a small portion of code in the tests that falls under the Creative Commons license, see https://creativecommons.org/licenses/by-sa/3.0/deed.de for more information.

Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

coala-0.4.2.dev20160309195000.tar.gz (152.8 kB view details)

Uploaded Source

Built Distribution

coala-0.4.2.dev20160309195000-py3-none-any.whl (135.0 kB view details)

Uploaded Python 3

File details

Details for the file coala-0.4.2.dev20160309195000.tar.gz.

File metadata

File hashes

Hashes for coala-0.4.2.dev20160309195000.tar.gz
Algorithm Hash digest
SHA256 1b47cb6fa39c1fa78a41ec7bcd4ba6b3e20ff4ccff38048066280363c95ad2e7
MD5 76b24be97206f94177303abda0b23697
BLAKE2b-256 761dec18869dd4c7ba5109ea7e2a877aa2ccf8e921eeab53d5635fb97d646386

See more details on using hashes here.

File details

Details for the file coala-0.4.2.dev20160309195000-py3-none-any.whl.

File metadata

File hashes

Hashes for coala-0.4.2.dev20160309195000-py3-none-any.whl
Algorithm Hash digest
SHA256 5d71f7aa1401bd33bfef9ea8e29b6c917851dfd85b8a1cacff2b72dce205d3c3
MD5 ac64e9301dd46e2a8ad6414d1b99a163
BLAKE2b-256 c3bc4fe575b1c6b5f27c314a0e7caa294cf1a396e0af03121413bfaf9e9f1ad3

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page