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delgan/loguru

23,882PythonAudience · developerComplexity · 2/5MaintainedLicenseSetup · easy

TLDR

A Python logging library that works out of the box with one import, replacing tedious setup with a pre-configured logger that colors, timestamps, and rotates logs automatically.

Mindmap

mindmap
  root((loguru))
    What it does
      Pre-configured logger
      Automatic colors timestamps
      File rotation compression
    Key features
      Exception catching
      Structured logging
      Standard lib compatible
    Use cases
      Debug scripts quickly
      Production applications
      Background thread logging
    Tech stack
      Python
      Standard library

Things people build with this

USE CASE 1

Add logging to a Python script with one import instead of configuring handlers and formatters.

USE CASE 2

Automatically rotate and compress log files by size or time without writing custom code.

USE CASE 3

Catch and log exceptions from background threads that would normally be silently ignored.

USE CASE 4

Output structured logs in JSON format for easier parsing by monitoring and analytics tools.

Tech stack

Python

Getting it running

Difficulty · easy Time to first run · 5min
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

In plain English

Loguru is a Python library that makes adding logs to your code as simple as a single import. Logging is the practice of recording what your program is doing as it runs, which functions ran, what errors occurred, what data was processed, so you can understand and debug it later. Python has a built-in logging system, but it requires significant setup (configuring handlers, formatters, and filters separately) which many developers skip in favor of just using print statements. Loguru replaces all that setup with one pre-configured logger object you can start using immediately. You call logger.info(), logger.warning(), logger.error(), and so on, and messages appear in your terminal with colors and timestamps by default. When you need more, a single add() function handles everything: writing to files, setting log levels, filtering by module, rotating log files by size or time schedule, compressing old logs, and more. Other conveniences include automatically catching and logging exceptions (even from background threads, which vanilla Python often silently swallows), structured logging for machine-readable output, and compatibility with Python's standard logging system so it can be dropped into existing projects. You would use Loguru any time you are writing a Python script or application and want proper logging without the usual configuration ceremony.

Copy-paste prompts

Prompt 1
Show me how to set up loguru in a Python script and log messages at different levels (info, warning, error).
Prompt 2
How do I configure loguru to write logs to a file and rotate it daily, keeping only the last 7 days?
Prompt 3
Can you show me how loguru automatically catches exceptions and logs them with full tracebacks?
Prompt 4
How do I use loguru's structured logging to output JSON logs that a log aggregation tool can parse?
Prompt 5
What's the simplest way to replace Python's built-in logging with loguru in an existing project?
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.