delgan/loguru

Python logging made (stupidly) simple

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Summary Information

Updated 59 minutes ago
Added to GitGenius on September 2nd, 2026
Created on August 15th, 2017
Open Issues & Pull Requests: 253 (+0)
GitHub issues: Enabled
Number of forks: 813
Total Stargazers: 24,091 (+0)
Total Subscribers: 138 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 23.7 hours
Mean response time: 17.1 days
90th percentile: 31.8 days
Tracked items: 255

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 97% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 6% of issues opened in the past year have been closed. Three people close 53% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 110
New in 7 days: 4
Closed in 7 days: 4
Avg open age: 649 days
Stale 30+ days: 100
Stale 90+ days: 98

Recent activity

Opened in 7 days: 0
Closed in 7 days: 4
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • question (134)
  • enhancement (40)
  • feature (24)
  • bug (15)
  • documentation (15)
  • wontfix (10)
  • invalid (9)
  • duplicate (3)

Detailed Description

Loguru is a Python logging library that simplifies logger configuration and usage through a streamlined API.

The standard Python logging module requires substantial boilerplate setup, which discourages developers from adopting logging early in projects. Loguru addresses this by providing a pre-configured logger accessible via a single import statement, eliminating the need for manual handler and formatter configuration. The library adds functionality designed to resolve common logging pain points, such as automatic file rotation, colored output, exception formatting, and context injection, making logging practical enough to use from the start of development rather than as an afterthought.

Loguru suits projects where developers want logging to be frictionless and where the standard library's configuration overhead feels excessive. It works well for applications that benefit from automatic features like timestamped log files, readable exception tracebacks, and structured output without requiring extensive setup code. The library is particularly valuable in scripts, small to medium applications, and situations where rapid development takes priority over fine-grained logging control. Developers accustomed to the standard logging module should note that Loguru replaces rather than extends it, offering a different philosophy centered on convenience.

The project maintains active test coverage and code quality monitoring. Development activity shows consistent attention to build stability and test reliability. The codebase demonstrates ongoing maintenance with quality assurance practices in place.