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