Loguru
PrettyErrors
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Loguru | PrettyErrors | |
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31 | 6 | |
18,021 | 2,694 | |
- | - | |
8.7 | 0.0 | |
22 days ago | over 2 years ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Loguru
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Loguru VS polog - a user suggested alternative
2 projects | 9 Dec 2023
- a few comments and questions about loguru - the most popular 3rd party logging module for Python
- What libraries do you use the most alongside django?
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Linus is being reasonable and wise and well-mannered once again. Wouldn't mind reading a few juicy expletives, to be honest.
Because you get to see the simultaneous mix of arguments about objective verifiable facts and arguments about yelling at each other. Plus I don't understand how to cook but I do understand Delgan/loguru#563.
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library to log methods and function calls.
How can we integrate with current logging libraries such as logging, logges, loguru? And how would you compare your library with ic
- Is adding logging to a library good design?
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Where can I apply logging specifically with loguru?
I found loguru online and was thinking if it's relevant for my code. As far as I understand it would be preferable as opposed to me printing my exceptions with print.
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Logging in Python Like a Pro
You should try the loguru library. I was able to roll a rolling-upload-to-s3 adapter in under an hour. Switching to json logs is one bool flag away. Plus it's gorgeous
https://github.com/Delgan/loguru
Also iirc s3's "file-like interface" does not actually obey the file protocol, which is obnoxious.
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NameError: name 'logger' is not defined
If you have a choice, save yourself some heartache and install loguru
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The Boilerplate for Logging in Python
This? First time to hear about it. Thanks!
PrettyErrors
- Show HN: Python errors that are legible
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Creating Beautiful Tracebacks with Python's Exception Hooks
# https://github.com/onelivesleft/PrettyErrors/ # pip install pretty_errors import pretty_errors # `configure` can be omitted if you're satisfied with default settings pretty_errors.configure( filename_display = pretty_errors.FILENAME_EXTENDED, line_number_first = True, display_link = True, line_color = pretty_errors.RED + '> ' + pretty_errors.default_config.line_color, code_color = ' ' + pretty_errors.default_config.line_color, truncate_code = True, display_locals = True ) do_stuff()
- Prettify Python exception output to make it legible.
- PrettyErrors, a module to format exception reports
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Pretty Error Output In Python
Today's post demonstrated how to use the PrettyErrors to make our error debugging experience much more pleasant.
What are some alternatives?
structlog - Simple, powerful, and fast logging for Python.
better-exceptions - Pretty and useful exceptions in Python, automatically.
Sentry - Developer-first error tracking and performance monitoring
PyInquirer - A Python module for common interactive command line user interfaces
logzero - Robust and effective logging for Python 2 and 3.
hello-python-fire
logbook - A cool logging replacement for Python.
stackprinter - Debugging-friendly exceptions for Python
Eliot - Eliot: the logging system that tells you *why* it happened
CPython - The Python programming language
icecream - 🍦 Never use print() to debug again.
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.