dawnfetch

a fast, themed, cross-platform system info CLI inspired by neofetch and fastfetch.

Quick links: Install • Build • Benchmark • Showcase

Logo credits: all distro ASCII logos in ascii/ are sourced from the fastfetch project. Credit goes to the fastfetch contributors.

Install

Choose one method:

1. Linux/macOS (recommended)

curl -fsSL https://raw.githubusercontent.com/almightynan/dawnfetch/main/cli/install.sh | bash

2. Windows (PowerShell)

powershell -c "irm https://raw.githubusercontent.com/almightynan/dawnfetch/main/cli/install.ps1 | iex"

3. Windows 7 / old PowerShell fallback

$f="$env:TEMP\dawnfetch-install.ps1";(New-Object Net.WebClient).DownloadFile('https://raw.githubusercontent.com/almightynan/dawnfetch/main/cli/install.ps1',$f);powershell -File $f

4. npm

npm i -g dawnfetch

After npm install (if command is not recognized):

• Linux (current shell): source ~/.bashrc or source ~/.zshrc
• Windows PowerShell (current window):

$env:Path=[Environment]::GetEnvironmentVariable("Path","User")+";"+[Environment]::GetEnvironmentVariable("Path","Machine")

• Or simply close and reopen the terminal.

If your system is on older Node/npm (example: Node 12 / npm 6), prefer direct install instead of npm:

powershell -c "irm https://raw.githubusercontent.com/almightynan/dawnfetch/main/cli/install.ps1 | iex"

If you use bun and see Blocked postinstall, allow trusted scripts and reinstall:

bun pm -g untrusted
bun remove -g dawnfetch && bun add -g dawnfetch

To verify installation run:

dawnfetch --version
dawnfetch

Build from source

All build scripts output binaries to the repo root dist/ directory.

Linux:

bash build/build-linux.sh

macOS:

bash build/build-macos.sh

Windows (PowerShell):

powershell -File build/build-windows.ps1

Expected outputs:

• dist/dawnfetch-linux-amd64
• dist/dawnfetch-linux-arm64
• dist/dawnfetch-linux-386
• dist/dawnfetch-macos-amd64
• dist/dawnfetch-macos-arm64
• dist/dawnfetch-windows-amd64.exe
• dist/dawnfetch-windows-386.exe
• dist/dawnfetch-windows-arm64.exe

Benchmark (100 runs)

Run benchmark:

python3 bench/benchmark.py --runs 100 --warmup 1

Hyperfine results (100 runs):

Tool	Runs	Mean (ms)	Median (ms)	P95 (ms)	Min (ms)	Max (ms)	StdDev (ms)
dawnfetch	100	7.43	6.60	7.55	6.01	42.79	4.53
fastfetch	100	11.91	10.99	14.33	10.13	52.03	5.24
hifetch	100	17.55	17.10	17.75	16.60	56.41	3.93
macchina	100	100.95	75.37	221.11	48.82	578.82	71.91
neofetch	100	398.99	386.21	449.06	361.81	771.10	46.58
screenfetch	100	848.98	687.62	1374.44	640.72	6485.31	626.92

benchmark ran using hyperfine via: bench/benchmark.py