The DiskHand Project 🔎💿

A series of specialized disk utilities for managing virtual and real disks and drives.

About The Project 💡

DiskHand is a comprehensive set of command-line tools and scripts designed for advanced disk management. Leveraging the performance of C++ for low-level disk operations and the scripting power of Python for user interfaces and automation, this project provides powerful utilities for tasks that go beyond standard operating system tools. Whether you need to recover data, manage partitions, or create bit-for-bit disk clones, DiskHand aims to be your go-to solution.

Features ✨

• Partition Management: Easily create, resize, format, and delete partitions on both physical and virtual drives.
• Disk Imaging & Cloning: Create precise, sector-by-sector copies of disks for backup, migration, or forensic analysis.
• File System Tools: Analyze and repair various file systems including NTFS, ext4, and FAT32.
• FAT Disk Checking and Defragmentation: Inspect FAT16/FAT32 disk images for allocation and directory issues, apply safe repairs, and defragment files in place.
• Data Recovery: Tools to search for and recover deleted files and lost partitions.
• Cross-Platform Support: Designed to work on various operating systems.

Technologies Used 💻

• Python: Used for high-level scripting, command-line interfaces, and orchestrating complex workflows. Python's rich ecosystem of libraries makes it ideal for building a user-friendly layer on top of the C++ core.
• C++: Utilized for performance-critical, low-level disk access and manipulation. This ensures that operations like disk imaging and data recovery are as fast and efficient as possible.

Getting Started 🚀

To get a copy of the project up and running on your local machine, follow these simple steps. Prerequisites

• Python 3.x
• A C++ compiler (e.g., GCC, Clang)
• make (or a similar build tool)

Installation 📦

• Clone the repository:

git clone https://github.com/your-username/DiskHand.git
cd DiskHand

• Install Python dependencies:

pip install -r requirements.txt

• Build the C++ utilities:

make

Usage 🛠️

Each utility is designed to be run from the command line.

For example:

To get help on a specific utility

python diskmech.py --help

To create a FAT16 disk image with multiple partitions

python fat16img.py my-disk.img 64MiB 128MiB 256MiB

To list partitions in a disk image

python disklist.py path/to/disk.img

diskmap.py: Generate a FAT cluster map PNG

Create a map with automatic size:

python diskmap.py --i path/to/disk.img --o map.png

Create a map with fixed output resolution:

python diskmap.py --i path/to/disk.img --o map_640x480.png --resolution=640x480

Use fixed resolution with denser map blocks (fewer cells):

python diskmap.py --i path/to/disk.img --o map_hd.png --resolution=1280x720 --density=1000

Use a density preset:

python diskmap.py --i path/to/disk.img --o map_balanced.png --resolution=640x480 --preset=balanced

Force perfect square blocks:

python diskmap.py --i path/to/disk.img --o map_square.png --resolution=640x480 --preset=balanced --squareblocks

Disable automatic density adjustment (strict mode):

python diskmap.py --i path/to/disk.img --o map_strict.png --resolution=640x480 --density=1 --no-autodensity

Notes:

• --resolution=WIDTHxHEIGHT sets the exact PNG size.
• The legend and map panel positions are fixed for a given resolution.
• The map always uses the maximum available panel area for the chosen resolution.
• --density=N groups N clusters into one map cell (default: 1) and changes block size/detail inside the fixed map panel.
• --preset=detail|balanced|overview is a shortcut for density values 1, 100, and 1000.
• --squareblocks forces all map blocks to be perfect squares; to preserve square geometry, the drawn map can be slightly smaller than the panel.
• For very large disks, density is auto-increased when needed so the map still fits the requested resolution.
• --no-autodensity disables this automatic increase and fails fast when the chosen density cannot fit.

Density quick guide:

• --density=1: highest detail, smallest blocks.
• --density=10: very detailed, still fine-grained.
• --density=100: balanced overview/detail.
• --density=1000: coarse overview, large blocks.

diskmech.py: Check, repair, and defragment FAT disk images

diskmech.py works directly on MBR-partitioned disk images and targets FAT16 and FAT32 volumes. It can:

• list partitions in an image
• run integrity checks for lost clusters, cross-links, directory-chain issues, FAT copy mismatches, and FAT32 FSInfo inconsistencies
• apply safe repairs for orphaned clusters and selected FAT metadata issues
• defragment files in place or run denser full/perfect packing passes

Examples:

List partitions:

python diskmech.py path/to/disk.img --list

Check a FAT partition only:

python diskmech.py path/to/disk.img -p 1 --check-only

Repair all safe issues automatically:

python diskmech.py path/to/disk.img -p 1 --repair --repair-autofix --inplace

Ask before each repairable issue:

python diskmech.py path/to/disk.img -p 1 --repair --repair-ask --inplace

Preview defragmentation without writing:

python diskmech.py path/to/disk.img -p 1 --dry-run --verbose

Run in-place defragmentation:

python diskmech.py path/to/disk.img -p 1 --inplace

Notes:

• --repair enables the repair workflow.
• --repair-autofix applies all repairable actions without prompts.
• --repair-ask asks before each repair action and requires an interactive terminal.
• --full runs denser packing.
• --perfect runs iterative full optimization passes to reduce internal holes as much as possible.
• Back up the image before any write operation.

Contributing 🤝

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

• Fork the Project
• Create your Feature Branch (git checkout -b feature/AmazingFeature)
• Commit your Changes (git commit -m 'Add some AmazingFeature')
• Push to the Branch (git push origin feature/AmazingFeature)
• Open a Pull Request

License 📝

Distributed under the MIT License. See LICENSE for more information.