What libraries for advanced logging do you know in…

standard logging module: Built-in library providing basic logging capabilities, supporting various levels and handlers. Easily extendable.
loguru: A more modern and user-friendly library focusing on simplicity, formatting, log rotation, and asynchronous logging.
```
from loguru import logger

logger.debug("This is a debug message")
logger.info("This is an informational message")
```
structlog: A library for structured logging. Allows adding context to logs in key-value pairs, greatly simplifying analysis.
```
import structlog

logger = structlog.get_logger()
logger.info("Request processed", user_id=123, status="success")
```

sentry-sdk: SDK for integration with Sentry.io, a platform for error monitoring. Enables collecting detailed information about exceptions and events.

import sentry_sdk

sentry_sdk.init(
    "YOUR_SENTRY_DSN",
    # Set traces_sample_rate to 1.0 to capture 100%
    # of transactions for performance monitoring.
    traces_sample_rate=1.0,
)

elastic-apm: Agent for Elastic APM, a system for monitoring application performance. Collects metrics and traces for performance analysis and debugging.

# Example usage in a web framework (Flask)
from flask import Flask
from elasticapm.contrib.flask import ElasticAPM

app = Flask(__name__)
app.config['ELASTIC_APM'] = {
    'SERVER_URL': 'http://localhost:8200',
    'SERVICE_NAME': 'my-python-app'
}

apm = ElasticAPM(app)

Logbook: An alternative to the standard logging module with some improvements and additional features.

The choice of a specific library depends on project requirements, the need for log structuring, integration with external monitoring systems, and personal preferences. For "advanced" logging, combinations of the built-in logging with extensions, loguru for convenience, or structlog for analytics are often used. Sentry and Elastic APM are intended for deeper monitoring and debugging.

What libraries for advanced logging do you know in Python?