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GDB dashboard vs pwndbg

Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.

GDB dashboard

Open source · MIT

A visual dashboard for GDB, the debugger, built as a single Python-based .gdbinit file.

pwndbg

Open source · MIT

A plug-in for GDB and LLDB that makes low-level debugging easier for reverse engineering and exploit work.

The short answer

Choose GDB dashboard if you need…

  • Developers who debug C or C++ programs with GDB in a terminal
  • People who find repeated GDB inspection commands tedious
  • Users who want a configurable on-screen view during stepping
  • Students learning how a program's state changes while it runs

Choose pwndbg if you need…

  • Reverse engineers working with Linux ELF binaries under GDB
  • Exploit developers who use GDB and want better memory and register inspection
  • CTF players doing binary exploitation challenges
  • Embedded developers debugging ARM Cortex-M or RISC-V/32 targets with GDB, per the README's support table

Side-by-side

GDB dashboardpwndbg
TypeDev toolDev tool
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars12.3k11.1k
Setup difficultyBeginnerIntermediate
How you get itSee the READMESee the README
Main languagePythonPython
Last code update4 months ago4 days ago

What each one is

GDB dashboard

GDB dashboard is a standalone .gdbinit file written with GDB's Python API. It shows a panel of useful program state, such as the current code and related information, every time the program being debugged stops. The stated goal is to cut down on the number of GDB commands needed to check status, so you can focus on the program's control flow.

pwndbg

pwndbg is a Python plug-in that loads into GDB (and runs as an interface for LLDB) to add features the stock debuggers lack, such as a hexdump command and clearer views of registers and memory. It is aimed at low-level developers, reverse engineers, hardware hackers and exploit developers. The README says it is meant to replace older single-file helpers like PEDA and GEF with a more modular codebase.

Best for

GDB dashboard

  • Developers who debug C or C++ programs with GDB in a terminal
  • People who find repeated GDB inspection commands tedious
  • Users who want a configurable on-screen view during stepping
  • Students learning how a program's state changes while it runs

pwndbg

  • Reverse engineers working with Linux ELF binaries under GDB
  • Exploit developers who use GDB and want better memory and register inspection
  • CTF players doing binary exploitation challenges
  • Embedded developers debugging ARM Cortex-M or RISC-V/32 targets with GDB, per the README's support table

Strengths

GDB dashboard

  • Installs as a single file, with no separate application to set up
  • Keeps GDB's normal commands working; features are added through a dashboard command
  • Uses a modular design that can be configured through help dashboard

pwndbg

  • Adds practical features missing from vanilla GDB and LLDB, such as a hexdump command
  • Supports both GDB and LLDB, with a consistent experience across them according to the README
  • Actively maintained, with a recent release and a large test and CI setup shown by badges

Not ideal for

GDB dashboard

  • People who prefer a graphical IDE debugger; this runs inside the terminal with GDB
  • Users who need a debugger for languages GDB does not support
  • Anyone unwilling to edit a home-directory config file, since setup is manual

pwndbg

  • Users who need a stable LLDB workflow: the README says the LLDB port is early-stage and may contain bugs
  • Users on Windows-native debugging: the README focuses on GDB and LLDB, not WinDbg
  • Anyone who wants a point-and-click graphical debugger rather than a command-line extension

Trade-offs

GDB dashboard

  • Runs only where GDB runs, so it is a terminal tool rather than a point-and-click interface
  • The README is brief, so detailed usage depends on the external wiki
  • Syntax highlighting needs an optional extra install of Pygments

pwndbg

  • The LLDB support is explicitly early-stage and may have bugs or limitations
  • Requires specific recent versions (for example Python 3.10+ and GDB 12.1+ for the GDB build), so older systems may need upgrades
  • Best suited to users already comfortable with command-line debuggers

Getting started

GDB dashboard

Download the .gdbinit file into your home directory

wget -P ~ https://github.com/cyrus-and/gdb-dashboard/raw/master/.gdbinit

Optionally install Pygments for syntax highlighting

pip install pygments
Step-by-step guide: how to use GDB dashboard

pwndbg

Installation instructions (see project docs)

git clone https://github.com/pwndbg/pwndbg
Step-by-step guide: how to use pwndbg

Frequently asked questions

What is the difference between GDB dashboard and pwndbg?

GDB dashboard: A visual dashboard for GDB, the debugger, built as a single Python-based .gdbinit file. pwndbg: A plug-in for GDB and LLDB that makes low-level debugging easier for reverse engineering and exploit work. GDB dashboard suits developers who debug c or c++ programs with gdb in a terminal, while pwndbg suits reverse engineers working with linux elf binaries under gdb.

Are GDB dashboard and pwndbg free?

GDB dashboard: Free and open source. pwndbg: Free and open source.

Which is easier to set up, GDB dashboard or pwndbg?

GDB dashboard is easier to get started with (rated beginner); pwndbg is rated intermediate and usually needs more setup.

Is GDB dashboard or pwndbg more popular?

GDB dashboard has more GitHub stars (12.3k) than pwndbg (11.1k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to GDB dashboard and pwndbg?

Other options people compare them with include Detect-It-Easy.

Keep comparing

Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.