YADF — Yet Another Dupes Finder

It's fast on my machine.

Installation

Prebuilt Packages

Executable binaries for some platforms are available in the releases section.

Building from source

  1. Install Rust Toolchain
  2. Run cargo install yadf

Usage

yadf always descends automatically into subdirectories. I thought about that quite a lot, and didn't think of a really good reason not to.

bash yadf # find duplicate files in current directory yadf ~/Documents ~/Pictures # find duplicate files in two directories

Filtering

bash yadf --min 100M # find duplicate files of at least 100 MB yadf --max 100M # find duplicate files below 100 MB yadf --pattern '*.jpg' # find duplicate jpg yadf --regex '^g' # find duplicate starting with 'g'

Help output.

``` yadf 0.8.1 Yet Another Dupes Finder

USAGE: yadf.exe [FLAGS] [OPTIONS] [paths]...

FLAGS: -h, --help Prints help information -n, --no-empty Excludes empty files -q, --quiet Pass many times for less log output -r, --report Prints human readable report to stderr -V, --version Prints version information -v, --verbose Pass many times for more log output

OPTIONS: -a, --algorithm Hashing algorithm [default: XxHash] [possible values: Highway, SeaHash, XxHash] -f, --format Output format [default: Fdupes] [possible values: Csv, Fdupes, Json, JsonPretty, Machine] --max Maximum file size --min Minimum file size -p, --pattern Check files with a name matching a glob pattern, see: https://docs.rs/globset/0.4.6/globset/index.html#syntax -R, --regex Check files with a name matching a Perl-style regex, see: https://docs.rs/regex/1.4.2/regex/index.html#syntax

ARGS: ... Directories to search

For sizes, K/M/G/T[B|iB] suffixes can be used (case-insensitive). ```

Benchmarks

The performance of yadf is heavily tied to the hardware, specifically the NVMe SSD. I recommend fclones as it has specific hardware heuristics. and in general more features.

My home directory contains about 615k paths and 32 GB of data, and is probably a pathological case of file duplication with all the node_modules, python virtual environments, rust target, etc.

| Program | Version | Warm Mean time (s) | Cold Mean time (s) | | :-------------- | ------: | -----------------: | -----------------: | | yadf | 0.8.1 | 2.856 | 21.810 | | fclones | 0.8.0 | 3.627 | 15.439 | | jdupes | 1.14.0 | 10.526 | 111.194 | | ddh | 0.11.3 | 8.221 | 21.948 | | fddf | 1.7.0 | 5.047 | 27.718 | | rmlint | 2.9.0 | 14.143 | 60.722 | | dupe-krill | 1.4.4 | 8.072 | 112.815 |

The script used to benchmark can be read here.

Raw output of hyperfine.

Warm cache:

``` Benchmark #1: fclones --min-size 0 -R ~ Time (mean ± σ): 3.627 s ± 0.043 s [User: 15.379 s, System: 12.571 s] Range (min … max): 3.571 s … 3.726 s 10 runs

Benchmark #2: jdupes -z -r ~ Time (mean ± σ): 10.526 s ± 0.031 s [User: 5.367 s, System: 5.096 s] Range (min … max): 10.475 s … 10.567 s 10 runs

Benchmark #3: rmlint --hidden ~ Time (mean ± σ): 14.143 s ± 0.049 s [User: 38.964 s, System: 14.541 s] Range (min … max): 14.049 s … 14.233 s 10 runs

Benchmark #4: ddh ~ Time (mean ± σ): 8.221 s ± 0.035 s [User: 34.391 s, System: 26.450 s] Range (min … max): 8.145 s … 8.277 s 10 runs

Benchmark #5: dupe-krill -s -d ~ Time (mean ± σ): 8.072 s ± 0.027 s [User: 5.007 s, System: 3.028 s] Range (min … max): 8.040 s … 8.120 s 10 runs

Benchmark #6: fddf -m 0 ~ Time (mean ± σ): 5.047 s ± 0.064 s [User: 9.872 s, System: 12.816 s] Range (min … max): 4.936 s … 5.122 s 10 runs

Benchmark #7: yadf ~ Time (mean ± σ): 2.856 s ± 0.009 s [User: 9.834 s, System: 13.386 s] Range (min … max): 2.843 s … 2.873 s 10 runs

Summary 'yadf ~' ran 1.27 ± 0.02 times faster than 'fclones --min-size 0 -R ~' 1.77 ± 0.02 times faster than 'fddf -m 0 ~' 2.83 ± 0.01 times faster than 'dupe-krill -s -d ~' 2.88 ± 0.02 times faster than 'ddh ~' 3.69 ± 0.02 times faster than 'jdupes -z -r ~' 4.95 ± 0.02 times faster than 'rmlint --hidden ~' ```

Cold cache:

``` Benchmark #1: fclones --min-size 0 -R ~ Time (mean ± σ): 15.439 s ± 0.690 s [User: 22.313 s, System: 34.814 s] Range (min … max): 14.715 s … 16.690 s 10 runs

Benchmark #2: jdupes -z -r ~ Time (mean ± σ): 111.194 s ± 0.643 s [User: 18.491 s, System: 27.820 s] Range (min … max): 110.394 s … 112.507 s 10 runs

Benchmark #3: rmlint --hidden ~ Time (mean ± σ): 60.722 s ± 3.917 s [User: 38.825 s, System: 24.832 s] Range (min … max): 57.520 s … 70.066 s 10 runs

Benchmark #4: ddh ~ Time (mean ± σ): 21.948 s ± 1.138 s [User: 39.015 s, System: 42.882 s] Range (min … max): 21.004 s … 24.579 s 10 runs

Benchmark #5: dupe-krill -s -d ~ Time (mean ± σ): 112.815 s ± 0.621 s [User: 20.133 s, System: 27.512 s] Range (min … max): 111.902 s … 113.747 s 10 runs

Benchmark #6: fddf -m 0 ~ Time (mean ± σ): 27.718 s ± 0.526 s [User: 18.505 s, System: 37.530 s] Range (min … max): 26.796 s … 28.407 s 10 runs

Benchmark #7: yadf ~ Time (mean ± σ): 21.810 s ± 2.827 s [User: 19.814 s, System: 53.879 s] Range (min … max): 20.054 s … 28.731 s 10 runs

Warning: Statistical outliers were detected. Consider re-running this benchmark on a quiet PC without any interferences from other programs. It might help to use the '--warmup' or '--prepare' options.

Summary 'fclones --min-size 0 -R ~' ran 1.41 ± 0.19 times faster than 'yadf ~' 1.42 ± 0.10 times faster than 'ddh ~' 1.80 ± 0.09 times faster than 'fddf -m 0 ~' 3.93 ± 0.31 times faster than 'rmlint --hidden ~' 7.20 ± 0.32 times faster than 'jdupes -z -r ~' 7.31 ± 0.33 times faster than 'dupe-krill -s -d ~' ```

Hardware used.

Extract from neofetch and hwinfo --disk: