Skip to main content

YACL (Yet Another Color Logger) is a simple to use color logger for Python programs.

Project description

YACL - Yet Another Color Logger


YACL is a very simple to use color logger for Python intended to be used for stderr logging. It can be set up with a single function call in existing projects and enables colored logging output with reasonable defaults. Colors are disabled automatically if stderr is not connected to a tty (e.g. on file redirection) or if not supported by the connected terminal. Currently, Linux and macOS are supported.

You can use Markdown style formattings to produce bold and italic text. Additionally, text enclosed in double underscores will be displayed underlined. YACL checks the terminal capabilities and automatically disables unsupported formats.


YACL is available on PyPI for Python 3.3+ and can be installed with pip:

python3 -m pip install yacl

If you use Arch Linux or one of its derivatives, you can also install yacl from the AUR:

yay -S python-yacl



Call setup_colored_stderr_logging after the root logger has been set up, for example:

#!/usr/bin/env python3

import logging
from yacl import setup_colored_stderr_logging

def main():

if __name__ == "__main__":

Afterwards, get module level loggers and use them without any further configuration:

import logging

logger = logging.getLogger(__name__)

def my_func():
    logger.debug('Failed to open file "abc"')

You will get an output like:


This example only works if you don't attach any output handlers to loggers other than the root logger as recommended in the Python logging documentation:

If you attach a handler to a logger and one or more of its ancestors, it may emit the same record multiple times. In general, you should not need to attach a handler to more than one logger - if you just attach it to the appropriate logger which is highest in the logger hierarchy, then it will see all events logged by all descendant loggers, provided that their propagate setting is left set to True. A common scenario is to attach handlers only to the root logger, and to let propagation take care of the rest.


You can pass several arguments to the setup_colored_stderr_logging function to customize the logging behavior:

  • logger: The logger which will be configured to print colored logging output to stderr. By default, the root logger is used.

  • format_string: The format string to use for logging messages. By default the logging format [%(levelname)s] (%(name)s:%(lineno)s:%(funcName)s): %(message)s is used.

    Important: All formats must be passed as string types. For example, in the default format, lineno is given as string ((%lineno)s) and not as number ((%lineno)d).

  • remove_other_handlers: Bool flag to remove all other output handlers on the given logger. Is set to true by default to avoid duplicate logging messages.

  • attribute_colors: A dictionary which assigns colors to logging attributes (which are used in the logging format string). This dictionary is merged with the internal defaults:

    from yacl import TerminalColorCodes
    _attribute_colors = {
        "lineno": TerminalColorCodes.yellow,
        "name": TerminalColorCodes.cyan,
  • keyword_colors: A dictionary which assigns colors to a given regular expressions. This setting can be used to highlight expressions in the logging messages. This dictionary is merged with the internal defaults:

    from yacl import TerminalColorCodes
    keyword_colors = {
        r"\bcritical( error)?\b": + TerminalColorCodes.blink + TerminalColorCodes.bold,
        r"\bdebug(ged|ging)?\b": + TerminalColorCodes.bold,
        r"\berror\b": + TerminalColorCodes.bold,
        r"\bfail(ed|ing)?\b": + TerminalColorCodes.bold,
        r"\binfo\b": + TerminalColorCodes.bold,
        r"\bwarn(ed|ing)?\b": TerminalColorCodes.yellow + TerminalColorCodes.bold,
        r'"[^"]*"': TerminalColorCodes.yellow,
        r"\*([^*]+)\*": TerminalColorCodes.italics,
        r"\*\*([^*]+)\*\*": TerminalColorCodes.bold,
        r"__([^_]+)__": TerminalColorCodes.underline,
        r"`([^`]+)`": TerminalColorCodes.standout,

    Example: Pass a dictionary

        r"'[^']*'": + TerminalColorCodes.italics,

    to highlight strings in single quotes with green color and italic font (if supported by the Terminal).

  • level_colors: A dictionary which assigns colors to logging levels (DEBUG, INFO, ...). This dictionary is merged with the internal defaults:

    from yacl import TerminalColorCodes
    level_colors = {
        "DEBUG": + TerminalColorCodes.bold,
        "INFO": + TerminalColorCodes.bold,
        "WARNING": TerminalColorCodes.yellow + TerminalColorCodes.bold,
        "ERROR": + TerminalColorCodes.bold,
        "CRITICAL": + TerminalColorCodes.blink + TerminalColorCodes.bold,

Colored Exceptions

If Pygments is installed, YACL exports an additonal function setup_colored_exceptions to generate colored exception tracebacks. You can force to install Pygments as a YACL dependency with the colored_exceptions extra:

python3 -m pip install 'yacl[colored_exceptions]'

The function setup_colored_exceptions needs to be called once (for example after setup_colored_stderr_logging) to install a custom Python excepthook. It takes an optional bool parameter dark_background which can be set to True to activate brighter colors on dark terminal backgrounds. A full example is:

#!/usr/bin/env python3

import logging
from yacl import setup_colored_exceptions, setup_colored_stderr_logging

def main():

if __name__ == "__main__":

Project details

Download files

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

Files for yacl, version 0.4.1
Filename, size File type Python version Upload date Hashes
Filename, size yacl-0.4.1-py3-none-any.whl (7.3 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size yacl-0.4.1.tar.gz (7.6 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page