Skip to main content

Bears for coala (Code Analysis Application)

Project description

https://cloud.githubusercontent.com/assets/7521600/15992701/ef245fd4-30ef-11e6-992d-275c5ca7c3a0.jpg

coala-bears

coala-bears is a Python package containing all the bears that are officially supported by coala. It features more than 78 bears covering 54 languages. Here is a generated list that contains information about each bear, such as the languages it supports and what fixes it can apply to your code.

'Throughput Graph'



Installation

To install the latest stable version run:

$ pip3 install coala-bears

Stable

To install the latest development version run:

$ pip3 install coala-bears --pre

The latest code from the master branch is automatically deployed as the development version in PyPI.

To also install all bears for coala at once run:

$ pip3 install coala-bears

Be sure to use the latest version of pip, the default pip from Debian doesn’t support our dependency version number specifiers. You will have to use a virtualenv in this case.

PyPI Windows Linux


Languages Supported

To see what coala can do for your language, run:

$ coala --show-bears --filter-by-language Python

Languages coala provides algorithms for

C

Latex

SQL

C++

Lua

Stylus

C#

Markdown

Swift

CMake

Matlab/Octave

TypeScript

CoffeeScript

Natural Language (English)

Verilog

CSS

Perl

VHDL

Dart

PHP

Vimscript

Fortran

Python 2

XML

Go

Python 3

YAML

Haskell

R

HTML

reStructured Text

Java

Ruby

JavaScript

Scala

JSP

SCSS

Julia

sh & bash scripts

The number of bears grows every day! If you want to see any particular functionality be sure to submit an issue, but please read the Getting Involved section before doing so.

You can read more at our documentation. There you can learn how to easily write bears yourself! Be sure to let us know if you do so, so we’ll be able to include it here and spread the word about it.


Usage

For more information about how to do basic analysis, check out the coala README.


Getting Involved

If you would like to be a part of the coala community, you can check out our Getting In Touch page or ask us at our active Gitter channel, where we have maintainers from all over the world. We appreciate any help!

We also have a newcomer guide to help you get started by fixing an issue yourself! If you get stuck anywhere or need some help, feel free to contact us on Gitter or drop a mail at our newcomer mailing list.

gitter


Support

Feel free to contact us at our Gitter channel, we’d be happy to help!

If you are interested in commercial support, please contact us on the Gitter channel as well.

You can also drop an email at our mailing list.


Authors

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


License

AGPL

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-bears-0.12.0.dev20170903145507.tar.gz (147.6 kB view details)

Uploaded Source

Built Distribution

coala_bears-0.12.0.dev20170903145507-py34.py35.py36-none-any.whl (211.0 kB view details)

Uploaded Python 3.4 Python 3.5 Python 3.6

File details

Details for the file coala-bears-0.12.0.dev20170903145507.tar.gz.

File metadata

File hashes

Hashes for coala-bears-0.12.0.dev20170903145507.tar.gz
Algorithm Hash digest
SHA256 650a34f78736df0edb9a8be3cffb7fa7e8895d7def7f94d2954b16a1c1750fca
MD5 1f3141654eb299972368fefb6daa7a11
BLAKE2b-256 e2ac48e8957fb5f6fe34c8059a2b9909e20666337fa77f89af27c0dc69c8e0ae

See more details on using hashes here.

Provenance

File details

Details for the file coala_bears-0.12.0.dev20170903145507-py34.py35.py36-none-any.whl.

File metadata

File hashes

Hashes for coala_bears-0.12.0.dev20170903145507-py34.py35.py36-none-any.whl
Algorithm Hash digest
SHA256 41a56557c4298b019ac4b24bb88fe8bb20acaa8eecf9bd4d3b2db8e45b161fc6
MD5 1fdaa6c5d86dbd88d9fa1918b0eebd91
BLAKE2b-256 33f27adef45396449d37170ef29a40085eb0bb6c200a6038ea82a9abc8342791

See more details on using hashes here.

Provenance

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