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.dev20171102000532.tar.gz (148.0 kB view details)

Uploaded Source

Built Distribution

coala_bears-0.12.0.dev20171102000532-py34.py35.py36-none-any.whl (211.5 kB view details)

Uploaded Python 3.4 Python 3.5 Python 3.6

File details

Details for the file coala-bears-0.12.0.dev20171102000532.tar.gz.

File metadata

File hashes

Hashes for coala-bears-0.12.0.dev20171102000532.tar.gz
Algorithm Hash digest
SHA256 12a2bd1e93893a032d30f9a43a460c6ebdde7600fc7a442cd2db92c07b867b84
MD5 5d78d22e8d09667bcd9880895bf3c4d5
BLAKE2b-256 33edd9a9fa0d358c0edffdd420982b1c71787823b54f2fa5e3a2e09df4ab7ade

See more details on using hashes here.

File details

Details for the file coala_bears-0.12.0.dev20171102000532-py34.py35.py36-none-any.whl.

File metadata

File hashes

Hashes for coala_bears-0.12.0.dev20171102000532-py34.py35.py36-none-any.whl
Algorithm Hash digest
SHA256 800a01ed01b61902e09662a30a9220c745614dd4c1472900ca731dfd68b0bcb6
MD5 a95ddf8c495629402b62941ff6909ad3
BLAKE2b-256 44e3f54d7c7f74d19d68dc426aac686534acab4655f7d76c4f7114a970cb3bba

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