gaogaotiantian/dowhen

Health v2 · maintenance only

Adoption not part of the score

1205 stars · 41 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

dowhen is a Python library for intuitive, low-overhead code instrumentation (monkeypatching). It lets you trigger callbacks—executing code, setting pdb breakpoints, or jumping to lines—at specific points in your own code, third-party libraries, or the stdlib.

Use cases

• inject debug code into third-party library functions without editing them
• set a pdb breakpoint at a specific line of a library function
• change variable values at runtime to alter library behavior
• monitor when certain lines of code execute in production
• skip a line of code temporarily to test behavior
• patch stdlib functions for debugging without forking

When to choose

• you need to debug or alter behavior of code you can't easily edit
• you want lightweight runtime instrumentation with minimal overhead
• you prefer declarative trigger/callback hooks over manual monkeypatching

When to avoid

• you need permanent source-level changes rather than runtime hooks
• you're instrumenting non-Python code
• you need production-grade observability with metrics and dashboards rather than ad-hoc instrumentation

Facets

library · maturity active

developer-tools testing developer-tools python cross-platform instrumentation monkeypatching debugging breakpoints code-injection low-overhead python

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