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 Gitmate

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.dev20160315071132.tar.gz (153.6 kB view details)

Uploaded Source

Built Distribution

coala-0.4.2.dev20160315071132-py3-none-any.whl (135.9 kB view details)

Uploaded Python 3

File details

Details for the file coala-0.4.2.dev20160315071132.tar.gz.

File metadata

File hashes

Hashes for coala-0.4.2.dev20160315071132.tar.gz
Algorithm Hash digest
SHA256 27534161795fb23afe9860383a82ba27500f28cb273fef513ec3de1c0f1fb754
MD5 91dd779329cd53be1f5865252013a385
BLAKE2b-256 6585b22b8633e51cf8417aee5dbe3a398d0c409fc3f71f02d51f76ce363b2304

See more details on using hashes here.

File details

Details for the file coala-0.4.2.dev20160315071132-py3-none-any.whl.

File metadata

File hashes

Hashes for coala-0.4.2.dev20160315071132-py3-none-any.whl
Algorithm Hash digest
SHA256 4afdabc097b4ad2dfe06ef005964fa8ca69254656dbd3946a20edc5c14f7bc54
MD5 af1c29d7cd97ee53ae5eaecde1410f4c
BLAKE2b-256 5dad1f57431f1f80faa908452b90cfdc2e7500a385629d2e24a3b7839116ee87

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