Technical Documentation: bootandy/dust
โน๏ธ Provenance: Multi-Tier Ingestion ยท CodeWiki Reference
Overview (`README.md`)
Dust
du + rust = dust. Like du but more intuitive.
Why
Because I want an easy way to see where my disk is being used.
Demo
Study the above demo
We cd into a webapp it is 72K in size.
We see 32K in the
srcfolder. Note the bar jumps to 44%. Half of the webapp is in srcWe see 8K in the
src/utils. The bar jumps down to 11% but a shadow stays at 44% showing that it is part of thesrcfolderWe then demo the -d 2 flag - Show a depth of 2 folders
We demo the -n 5 flag - Show only 5 items (by default we show terminal height items)
Install
Quick Install (Linux, macOS, Windows)
curl -sSfL https://raw.githubusercontent.com/bootandy/dust/refs/heads/master/install.sh | shCargo [](https://repology.org/project/du-dust/versions)
Cargo
cargo install du-dust
๐บ Homebrew (Mac OS)
brew install dust
๐บ Homebrew (Linux)
brew install dust
DNF (Fedora Linux)
sudo dnf install du-dust
[Snap](https://ubuntu.com/core/services/guide/snaps-intro) Ubuntu and [supported systems](https://snapcraft.io/docs/installing-snapd)
snap install dust
Note: dust installed through snap can only access files stored in the /home directory. See danie-dejager/dust-snap#2 for more information.
[mise](https://github.com/jdx/mise)
mise use -g dust
[Pacstall](https://github.com/pacstall/pacstall) (Debian/Ubuntu)
pacstall -I dust-bin
Anaconda (conda-forge)
conda install -c conda-forge dust
[deb-get](https://github.com/wimpysworld/deb-get) (Debian/Ubuntu)
deb-get install du-dust
[x-cmd](https://www.x-cmd.com/pkg/#VPContent)
x env use dust
Windows:
scoop install dust- Windows GNU version - works
- Windows MSVC - requires: VCRUNTIME140.dll
Download
- Download Linux/Mac binary from Releases
- unzip file:
tar -xvf _downloaded_file.tar.gz - move file to executable path:
sudo mv dust /usr/local/bin/
Overview
Dust is meant to give you an instant overview of which directories are using disk space without requiring sort or head. Dust will print a maximum of one 'Did not have permissions message'.
Dust will list a slightly-less-than-the-terminal-height number of the biggest subdirectories or files and will smartly recurse down the tree to find the larger ones. There is no need for a '-d' flag or a '-h' flag. The largest subdirectories will be colored.
The different colors on the bars: These represent the combined tree hierarchy & disk usage. The shades of grey are used to indicate which parent folder a subfolder belongs to. For instance, look at the above screenshot. .steam is a folder taking 44% of the space. From the .steam bar is a light grey line that goes up. All these folders are inside .steam so if you delete .steam all that stuff will be gone too.
If you are new to the tool I recommend to try tweaking the -n parameter. dust -n 10, dust -n 50.
Usage
/* Detailed source-code truncated for AI context efficiency. */Config file
Dust has a config file where the above options can be set.
Either: $XDG_CONFIG_HOME/dust/config.toml (falling back to~/.config/dust/config.toml) or ~/.dust.toml
$ cat ~/.config/dust/config.toml
reverse=true
limit-filesystem=trueKeys use the long flag name in kebab-case. See config/config.toml for a fuller sample.
Alternatives
- NCDU
- dutree
- dua
- pdu
- dirstat-rs
du -d 1 -h | sort -h
Why to use Dust over the Alternatives
Dust simply Does The Right Thing when handling lots of small files & directories. Dust keeps the output simple by only showing large entries.
Tools like ncdu & baobab, give you a view of directory sizes but you have no idea where the largest files are. For example directory A could have a size larger than directory B, but in fact the largest file is in B and not A. Finding this out via these other tools is not trivial whereas Dust will show the large file clearly in the tree hierarchy
Dust will not count hard links multiple times (unless you want to -s).
Typing dust -n 90 will show you your 90 largest entries. -n is not quite like head -n or tail -n, dust is intelligent and chooses the largest entries
--- METRICS ---
- Files Extracted: 1
- Estimated Token Budget: ~1247 tokens
- Canonical Reference: https://codewiki.google/github.com/bootandy/dust