Comparing
Python logging that doesn't make you want to cry — structured, colorful, zero-config, with automatic exception tracebacks.
Retry any Python function with exponential backoff, jitter, and custom stop conditions — three decorator lines replace 30 lines of retry logic.
| Metric | loguru | tenacity |
|---|---|---|
| Ecosystem | Python | Python |
| Difficulty | Beginner | Beginner |
| Weekly downloads | 4.0M | 5.0M↑ |
| Latest version | v0.7.2 | v8.5.0 |
| Recipes | 2 | 2 |
loguru only
Shared
tenacity only
Any Python application that needs logging — scripts, APIs, workers. Especially good for: colorized console output during development, structured JSON logs for production, automatic exception tracing.
Any I/O that can fail transiently: HTTP calls, database queries, queue operations, cloud API calls, file system operations on network drives.
If your team's infrastructure is already built around stdlib logging and you can't change it easily — loguru can interop but it adds complexity.
Don't retry non-idempotent operations (POST that creates resources) without careful thought. Don't retry errors that won't resolve with time (auth failures, 400 Bad Request).
loguru
tenacity