fidedu 2.1.0

In-place hardlink deduplication across one or more folders.

file-dedupe

Find and replace duplicate files across one or more folders with hardlinks.
Uses fast parallel hashing with file attribute awareness to safely deduplicate files in-place.
Part of the Infinito.Nexus ecosystem.

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📦 Installation

The tool is published on PyPI and can be installed using pip:

pip install fidedu

This installs the global command:

fidedu

You can also invoke it explicitly as a module:

python -m fidedu --help

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🚀 Usage

Basic Examples

Analyze duplicates across one or more directories (dry-run mode):

fidedu ~/Documents ~/Downloads ~/Pictures

Replace duplicates with hardlinks to one canonical copy (in-place deduplication):

fidedu ~/Documents ~/Downloads ~/Pictures --compress

Verbose output (show exactly what happens):

fidedu ~/Documents ~/Downloads ~/Pictures --compress -v

Equivalent module invocation:

python -m fidedu ~/Documents ~/Downloads --compress -v

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⚙️ Behavior

1. Scans all provided folders recursively.
2. Groups files with identical size.
3. For each candidate group, computes a BLAKE2b hash including file attributes (mode, UID, GID, size, and modification time).
4. Files with matching hashes are treated as true duplicates.
5. One canonical copy is kept; all others are replaced by hardlinks pointing to it.
6. When --compress is not used, the tool reports potential savings only (no changes are made).

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Command Line Options

Option	Description
--compress	Apply deduplication (replace duplicates with hardlinks). Default is dry-run mode.
-v, --verbose	Verbose output (show detailed linking actions).
-w, --workers N	Number of parallel hashing processes (default: CPU count).

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Example Output

Duplicate sets found: 12
Files involved:       57
Planned relinks:      45
Estimated savings:    1.2 GB (1,234,567,890 bytes)

[dry-run] Use --compress to apply these changes.

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🧪 Testing

Run all tests locally:

make test

Lint the codebase:

make lint

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📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

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👤 Author

Kevin Veen-Birkenbach https://veen.world