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.



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

You can also use cib (coala Installs Bears), which is an experimental bear manager that lets you install, upgrade, uninstall, check dependencies, etc. for bears. To install it, run:

$ pip3 install cib

For usage instructions, consult this link.

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++

Lua

TypeScript

C#

Markdown

VHDL

CMake

Matlab/Octave

Vimscript

CoffeeScript

Natural Language (English)

XML

CSS

Perl

YAML

Dart

PHP

Fortran

Python 2

Go

Python 3

Haskell

R

HTML

reStructured Text

Java

Ruby

JavaScript

Scala

JSP

SCSS

Julia

sh & bash scripts

Latex

SQL

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.


Authors

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


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-0.9.0.dev20160917161643.tar.gz (90.0 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file coala-bears-0.9.0.dev20160917161643.tar.gz.

File metadata

File hashes

Hashes for coala-bears-0.9.0.dev20160917161643.tar.gz
Algorithm Hash digest
SHA256 1f439a6124b9c3949d08e051eea9917fb71d9ab345474c54c6ac2c289a06e35f
MD5 33e62d58ee737287719d9dc2812c36d6
BLAKE2b-256 b990e7985b8f67955d4c0b5c3c6532f0adb958e48cc1241e82a8d753bde6a6b7

See more details on using hashes here.

Provenance

File details

Details for the file coala_bears-0.9.0.dev20160917161643-py3-none-any.whl.

File metadata

File hashes

Hashes for coala_bears-0.9.0.dev20160917161643-py3-none-any.whl
Algorithm Hash digest
SHA256 aefcad6342e10839f8bad5e8168c98683ff24b9176f6d8134f1ee83bbcb5ca61
MD5 fda57e1ef455a1401fa99f240ed398a2
BLAKE2b-256 f0a97e7a4aeae1e2eac8f9f6133b0309cd6ff01d6d344c2e24fa09167ff1277f

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