PySnooper vs debugpy
Python debugging tools compared
PySnooper records executed lines and local-variable changes in selected Python code. debugpy connects Python programs to compatible Debug Adapter Protocol clients for interactive debugging; the main difference is lightweight tracing versus client-driven debugging.
PySnooper: Trace Python Functions Without a Full Debugger
PySnooper logs which lines run in a Python function and how its local variables change, using a decorator or context manager. It suits developers who need quick, low-setup insight into code behavior without configuring a full debugger.
debugpy: Debug Python Programs with DAP Clients
debugpy connects Python 3 programs to debuggers that speak the Debug Adapter Protocol. Use it to launch or attach to a process, pause execution, and inspect code through a compatible debugging client.
| PySnooper | debugpy | |
|---|---|---|
| Language | Python | Python |
| License | MIT | — |
| Stars | 16.6k | 2.5k |
| Forks | 964 | 208 |
| Last analyzed | Oct 3, 2026 | Oct 12, 2026 |
Key differences
- PySnooper traces selected functions or blocks with a decorator or context manager, while debugpy launches programs under a debugger or attaches to running processes.
- PySnooper records execution details such as timestamps and variable changes; debugpy supports pausing at breakpoints and inspecting code through a DAP client.
- PySnooper can send traces to standard error, a file, stream, or callable, while debugpy requires a compatible DAP client for its debugging experience.
- PySnooper is MIT licensed; debugpy's repository metadata reports NOASSERTION while its README displays an MIT badge, so verify the applicable terms.
- PySnooper has 16.6k stars and 964 forks, compared with debugpy's 2.5k stars and 208 forks.
- debugpy is actively maintained with regular commits and releases; PySnooper's supplied project details identify it as not archived.
Choose PySnooper if you…
- need a quick trace of selected Python code without setting up a full debugger.
- want to record line execution and local-variable changes, with output directed to a chosen destination.
- need to trace watched expressions or include nested calls in a trace.
Choose debugpy if you…
- want to debug Python through an editor or other client that supports DAP.
- need to launch a program under a debugger or attach to a running process.
- want to pause at breakpoints or inspect a caught exception with a connected client.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.