python-colorlog
A colored formatter for the python logging module (by borntyping)
Loguru
Python logging made (stupidly) simple (by Delgan)
| python-colorlog | Loguru | |
|---|---|---|
| 2 | 31 | |
| 853 | 18,124 | |
| - | - | |
| 7.1 | 8.6 | |
| 3 months ago | 7 days ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
python-colorlog
Posts with mentions or reviews of python-colorlog.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-25.
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Output colored logs from django through supervisor and docker-compose
[supervisord]http\_port=/var/tmp/supervisor.sock ; (default is to run a UNIX domain socket server)stdout\_logfile=/dev/stdoutstdout\_logfile\_maxbytes=0stderr\_logfile=/dev/stderrstderr\_logfile\_maxbytes=0[program:gunicorn\_core\_service]#environment=myapp\_VENV=/opt/myapp/venv/environment=PYTHONPATH=/opt/myapp/myappServer/myappServercommand = /opt/myapp/venv/bin/gunicorn wsgi -b 0.0.0.0:8000 --timeout 90 --access-logfile /dev/stdout --error-logfile /dev/stderrdirectory = /opt/myapp/myappServeruser = rootautostart=trueautorestart=trueredirect\_stderr=truestdout\_logfile=/dev/stdoutstdout\_logfile\_maxbytes=0stderr\_logfile=/dev/stderrstderr\_logfile\_maxbytes=0[program:django-celery]command=/opt/myapp/venv/bin/python ./manage.py celery --app=myappServer.celeryapp:app worker -B --loglevel=INFOdirectory=/opt/myapp/myappServernumprocs=1stdout\_logfile=/dev/stdoutstdout\_logfile\_maxbytes=0stderr\_logfile=/dev/stderrstderr\_logfile\_maxbytes=0redirect\_stderr=trueautostart=trueautorestart=truestartsecs=10[program:nginx]command=nginx -g "daemon off;"#user = rootautostart=trueautorestart=trueredirect\_stderr=truestdout\_logfile=/dev/stdoutstdout\_logfile\_maxbytes=0stderr\_logfile=/dev/stderrstderr\_logfile\_maxbytes=0 5. Since docker can only log once process, the logs of all the process of my container are forwarded to /dev/stdout and /dev/stderr 6. And I use colorlog as color formatter to colorize Django logs:
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QLogging: Beautifully colored, quick and simple Python logging
How is it different from python-colorlog?
Loguru
Posts with mentions or reviews of Loguru.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-09.
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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!
What are some alternatives?
When comparing python-colorlog and Loguru you can also consider the following projects:
structlog - Simple, powerful, and fast logging for Python.
Docker Compose - Define and run multi-container applications with Docker
Sentry - Developer-first error tracking and performance monitoring
PySnooper - Never use print for debugging again
logzero - Robust and effective logging for Python 2 and 3.
logbook - A cool logging replacement for Python.
Eliot - Eliot: the logging system that tells you *why* it happened
icecream - 🍦 Never use print() to debug again.
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
Raven - Raven is the legacy Python client for Sentry (getsentry.com) — replaced by sentry-python