$npx skillfedfor your agent

debugpy

An implementation of the Debug Adapter Protocol for Python

Worth itPyPI DebuggersReleased Jun 2026107.6M downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — debugpy-1.8.21-py2.py3-none-any.whl
v1.8.21 · released 2026-06-01 · Python >=3.8

Yes. debugpy is a mature, actively maintained, zero-dependency debugger with no known vulnerabilities, permissive licensing, and wide platform support. Install it if you need remote debugging, DAP client integration, or programmatic control over breakpoints and exception handling.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.8 or later; debugger client must be able to connect to the specified host and port.
  • Low install friction with a pure-wheel distribution.
  • The package is actively maintained with a recent release and no runtime dependencies, making it straightforward to add to any Python 3.8+ environment.

License · maintenance · safety

MIT (permissive) — MIT license is permissive and poses no restrictions on use, modification, or distribution in commercial or private projects.

last release 2026-06-01 (74 days) · last repo commit 2026-08-13 · 2,456 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 107,550,466 downloads/mo, #325 on PyPI

Verify before relying

pip install debugpy

# Command line: run script with debugging enabled
python -m debugpy --listen localhost:5678 myfile.py

# Or in code:
import debugpy
debugpy.listen(("localhost", 5678))
debugpy.wait_for_client()
# code continues after client attaches
  • Whether debugpy can debug code running in restricted environments without additional configuration
  • Performance overhead when debugging large or long-running applications
  • Compatibility with async/await debugging and coroutine inspection
Same gist for agents: .md · .json

What it is and what it does

debugpy is a production-grade debugger for Python that implements the Debug Adapter Protocol, allowing you to debug Python code from any DAP-compatible client. You can launch scripts or modules with debugging enabled, attach to running processes by PID, and control execution with breakpoints, step commands, and exception handlers. The debugger runs as a server listening on a specified host and port, waiting for a client to connect and send debug commands.

You use debugpy either via the command line or by importing it directly in your code and calling functions like `debugpy.listen()`, `debugpy.wait_for_client()`, and `debugpy.breakpoint()`. It supports Windows, Linux, and macOS, works with Python 3.8 through 3.14, and includes features like subprocess debugging control, post-mortem exception debugging, and internal logging for troubleshooting.

Use it for

  • Debug a Python script running on a remote server or in a container from your local IDE without modifying the deployment environment
  • Attach a debugger to a long-running Python process by PID to inspect state and step through code without restarting
  • Embed debugging capability in a Python application so clients can connect and inspect execution when issues occur
  • Debug Python modules and packages with full breakpoint and expression evaluation support from DAP clients
  • Perform post-mortem debugging of caught exceptions to inspect the call stack and local variables at the point of failure

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

debugpy is a mature, actively maintained, zero-dependency debugger with no known vulnerabilities, permissive licensing, and wide platform support. Install it if you need remote debugging, DAP client integration, or programmatic control over breakpoints and exception handling.

Install

debugpy on PyPI

Before you install

Low install friction with a pure-wheel distribution. The package is actively maintained with a recent release and no runtime dependencies, making it straightforward to add to any Python 3.8+ environment.

Requires Python 3.8 or later; debugger client must be able to connect to the specified host and port.

License in practice

MIT license is permissive and poses no restrictions on use, modification, or distribution in commercial or private projects.

Quickstart

pip install debugpy

# Command line: run script with debugging enabled
python -m debugpy --listen localhost:5678 myfile.py

# Or in code:
import debugpy
debugpy.listen(("localhost", 5678))
debugpy.wait_for_client()
# code continues after client attaches

Verify before relying

  • Whether debugpy can debug code running in restricted environments without additional configuration
  • Performance overhead when debugging large or long-running applications
  • Compatibility with async/await debugging and coroutine inspection

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.8
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceActively maintained 74 days since the last release
Last repo commit
First released
Downloads107,550,466 / month, #325 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableLicense :: OSI Approved :: MIT LicenseOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIXProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Debuggers

Evidence: debugpy-1.8.21-py2.py3-none-any.whl

Tags

Capabilities
python debugger dapremote python debuggingdebug adapter protocolpython breakpoint serverattach to running python processpython debugging protocoldap client integration
Topics
remote-debuggingdap-protocoldevelopment-tools

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “python debugger dap”

  • debugpydebugpy is a Debug Adapter Protocol implementation for Python that…
  • instructure-dap-clientClient library for querying Instructure's Data Access Platform (DAP),…
  • pydevd-pycharmPyCharm's debugger backend for remote debugging of Python processes…

Give your agent the search over MCP, or paste the wish link into any chat.

More Debuggers packages

stack-data Worth it
PyPI · Debuggers · released Sep 2023

Extracts and displays stack frame and traceback data with context-aware source code rendering, used to power enhanced tracebacks in IPython and similar tools.

Install it if you need to display or inspect stack frames with source context; skip it if your use case doesn't involve frame introspection.

MITpure Python
124.3Mdownloads / mo
pylint Worth it
PyPI · Testing · released Aug 2026

Pylint is a static code analyzer that checks Python code for errors, enforces coding standards, detects code smells, and suggests refactoring improvements without executing the code.

Install it if you need thorough code analysis with inference-based bug detection; if speed is critical, consider pairing it with faster linters like ruff for…

GPL-2.0-or-laterpure Python · 3.10.0+
69.0Mdownloads / mo
yamllint Worth it
PyPI · Software Development · released Jan 2026

yamllint checks YAML files for syntax errors, style violations, and structural problems like key repetition, line length, trailing spaces, and indentation issues.

GPL-3.0-or-laterpure Python · 3.10+
40.4Mdownloads / mo
ipdb Worth it
PyPI · Debuggers · released Mar 2023

ipdb is an IPython-enabled debugger that replaces Python's standard pdb with tab completion, syntax highlighting, and better introspection while maintaining the same pdb interface.

BSD-3-Clausepure Python
18.4Mdownloads / mo
memray With conditions
PyPI · Debuggers · released Aug 2026

Memray is a memory profiler for Python that traces every function call to track memory allocations across Python code, native extensions, and the interpreter itself, generating reports like flame graphs and tables to analyze memory usage.

Apache-2.0compiled wheel · 3.9.0+
16.1Mdownloads / mo
pyelftools Worth it
PyPI · Compilers · released May 2026

pyelftools parses and analyzes ELF binary files and DWARF debugging information in pure Python, with no external dependencies.

Install it if you need to read or analyze ELF binaries or debug information from Python.

permissive licensepure Python · 3.10+
16.0Mdownloads / mo

See also remote-pdb · pdb-attach · pydevd · web-pdb · pdbp · pydevd-pycharm · debug-mgr · lauterbach-trace32-rcl · pygdbmi · instructure-dap-client