# pkolaczk/fclones

Efficient Duplicate File Finder

Repository: https://github.com/pkolaczk/fclones
Canonical: https://ross.abutalabs.com/products/fclones
Language: Rust
License: MIT
License Family: permissive
Last push: 2025-03-03T09:50:02+00:00

## Health v2 (maintenance only)
Score: 27/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 9, release rhythm 8, longevity 100
- inputs: {"age_days": 2279, "days_push": 548, "days_rel": 548, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2915, forks 120 (observed 2026-08-28T04:07:29.954590+00:00)

## What it is
fclones is a fast, efficient command-line tool written in Rust for finding and removing duplicate files. It uses content hashing and size-based pre-filtering to quickly identify duplicates across large file systems.

## Use cases
- find duplicate files on disk
- free up disk space by removing duplicates
- deduplicate photo or music collections
- clean up duplicate downloads
- list duplicate files before deleting
- replace files with hardlinks or symlinks to save space

## When to choose
- you need a fast, reliable duplicate finder for large file systems
- you want a scriptable CLI tool rather than a GUI
- you need options like linking or removing duplicates safely
- you work on Linux, macOS, or Windows from the terminal

## When to avoid
- you prefer a graphical duplicate finder
- you need to find similar (not exact) files like fuzzy image matching
- you need a cross-platform desktop app with preview UI

## Facets
- artifact type: cli-tool
- maturity: active
- function: cli, file-system, search-engine
- domain: files, developer-tools
- platform: windows, rust, cli, cross-platform
- tags: duplicate-files, disk-cleanup, file-deduplication, command-line, linux, macos

## Member repositories
- pkolaczk/fclones (main) score 27

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:29.954590+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:34:06.982483+00:00, confidence not recorded.
  - readme: https://github.com/pkolaczk/fclones (fetched 2026-08-28T04:07:29.954590+00:00, sha cfbcac03e4cf)
  - registry_crates: https://crates.io/api/v1/crates/fclones (fetched 2026-08-29T09:49:18.018152+00:00, sha 9cab91b7c196)
- Data as of 2026-08-30T08:39:29.467469+00:00.