debugpy: An Advanced Debugger for Python Development

This repository profile is provided by osrepos.com, an open source repository discovery platform.

debugpy: An Advanced Debugger for Python Development

Summary

debugpy is Microsoft's robust implementation of the Debug Adapter Protocol (DAP) for Python 3. It provides powerful debugging capabilities, allowing developers to efficiently inspect and troubleshoot their Python applications. This tool supports both command-line and API-based usage, offering flexibility for various development workflows.

Repository Information

Analyzed by OSRepos on October 11, 2025

Topics

Click on any tag to explore related repositories

Use at your own risk

OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of code from these repositories is the user's own responsibility. Always review the repository, source code, dependencies, licenses, and security implications before running or installing anything. OSRepos is not responsible for issues, damages, or losses resulting from third-party repositories.

Introduction

debugpy is a comprehensive debugger for Python 3, developed by Microsoft. It implements the Debug Adapter Protocol (DAP), enabling seamless integration with various IDEs and editors that support DAP, such as Visual Studio Code. debugpy is designed to provide a rich debugging experience, allowing you to step through code, inspect variables, set breakpoints, and much more, whether you are debugging local scripts, modules, or attaching to running processes.

Installation

debugpy can be easily installed using pip, the Python package installer.

pip install debugpy

Examples

CLI Usage

debugpy offers a flexible command-line interface for debugging.

Debugging a script file:
To run a script with debugging enabled, listening on localhost:5678:

python -m debugpy --listen localhost:5678 myfile.py

To wait for a client to attach before execution:

python -m debugpy --listen localhost:5678 --wait-for-client myfile.py

Debugging a module:
You can debug a Python module using the -m switch:

python -m debugpy --listen localhost:5678 -m mymodule

Attaching to a running process:
Inject the debugger into an already running Python process by its PID:

python -m debugpy --listen localhost:5678 --pid 12345

API Usage

For more programmatic control, debugpy provides a Python API.

Enabling debugging:
Import debugpy and call debugpy.listen() at the beginning of your script:

import debugpy
debugpy.listen(("localhost", 5678))
# Your application code

Waiting for the client:
To pause execution until a debugger client connects:

import debugpy
debugpy.listen(5678)
debugpy.wait_for_client()  # Blocks execution until client is attached
# Your application code

Programmatic breakpoints:
Use breakpoint() or debugpy.breakpoint() to set a breakpoint programmatically. Execution will pause if a client is attached.

import debugpy
debugpy.listen(...)

while True:
    # ...
    breakpoint()  # or debugpy.breakpoint()
    # ...

Why Use debugpy?

debugpy stands out as a powerful debugging tool for several reasons:

  • DAP Compliance: Its adherence to the Debug Adapter Protocol ensures broad compatibility with modern development environments.
  • Flexibility: It supports both command-line and API-driven debugging, catering to different integration needs and workflows.
  • Comprehensive Features: From basic step-through debugging to attaching to running processes and handling subprocesses, debugpy covers a wide range of debugging scenarios.
  • Microsoft Backing: Developed by Microsoft, it benefits from continuous development and integration, especially within tools like Visual Studio Code.

Links

Related repositories

Similar repositories that may be relevant next.

AMD Skills: Empowering AI Agents with AMD's Optimized Software Stack

AMD Skills: Empowering AI Agents with AMD's Optimized Software Stack

August 16, 2026

AMD Skills is the official catalog of AI agent skills from AMD, designed to empower AI agents with optimized software for AMD hardware. This repository provides knowledge, scripts, and conventions for working with AMD's stack, enabling seamless integration with major coding agents like Cursor, Claude Code, OpenAI Codex, and Gemini CLI.

PythonAI AgentsMachine Learning
agent-tackle-box: A Terminal Debugger for LangGraph & LangChain Agents

agent-tackle-box: A Terminal Debugger for LangGraph & LangChain Agents

August 15, 2026

agent-tackle-box is a comprehensive toolkit for developing AI agents, featuring the powerful `agent-debugger`. This terminal debugger provides deep insights into LangGraph and LangChain agents. It allows developers to inspect state, monitor tool calls, and step through Python code, all within a unified Textual UI.

agent-debuggerai-agentslangchain
ADR: Uber's Enterprise Security System for AI Agents

ADR: Uber's Enterprise Security System for AI Agents

August 14, 2026

ADR (Agentic AI Detection and Response) is an enterprise security system developed by Uber to secure AI agents. It offers critical capabilities like observability, security benchmarking, and threat detection, ensuring the safe operation of both employee and customer-facing AI applications. This open-source project is deployed in production at Uber and was accepted to MLSys 2026.

PythonAI SecurityAgent Security
SkillOpt: Optimizing Self-Evolving Agent Skills for LLMs

SkillOpt: Optimizing Self-Evolving Agent Skills for LLMs

August 11, 2026

SkillOpt is an innovative text-space optimizer from Microsoft that enables the training of reusable natural-language skills for frozen LLM agents. It approaches skill development with the rigor of deep-learning optimization, using trajectory-driven edits and validation-gated updates. This results in deployable `best_skill.md` artifacts that significantly boost agent performance across various benchmarks and models without modifying model weights.

agent-skillsself-evolving-agentsPython

Source repository

Open the original repository on GitHub.

13 counted GitHub visits

View on GitHub
OS
OSRepos

Analysis and discovery of open source repositories. Find interesting projects and follow their updates.

Monitor your website with YourWebsiteScore

OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of third-party repository code is at your own risk. Always review source code, dependencies, licenses, and security implications before running anything.

© 2025 OSRepos. Built with Nuxt 3 and lots of ❤️