# dundee/gdu

Fast disk usage analyzer with console interface written in Go

Repository: https://github.com/dundee/gdu
Canonical: https://ross.abutalabs.com/products/gdu
Language: Go
License: MIT
License Family: permissive
Topics: filesystem, golang, cli, disk-usage, hacktoberfest
Last push: 2026-08-26T16:17:43+00:00

## Health v2 (maintenance only)
Score: 99/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 98, longevity 100
- inputs: {"age_days": 3112, "days_push": 7, "days_rel": 15, "gap_med": 23, "n_releases_24m": 12}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5933, forks 227 (observed 2026-08-28T04:09:32.500070+00:00)

## What it is
Gdu is a fast disk usage analyzer with a terminal user interface, written in Go. It uses parallel processing to quickly scan directories and report which files and folders consume the most space.

## Use cases
- find what is taking up disk space
- analyze disk usage from the terminal
- clean up large files and directories
- visualize folder sizes with a TUI
- fast disk usage scan on SSD
- check directory sizes on a server over ssh

## When to choose
- you want a fast ncdu-like tool with parallel scanning
- you need a single static binary that runs on Linux, macOS, or Windows
- you prefer a terminal UI for interactive disk cleanup
- you want non-interactive output for scripts or CI

## When to avoid
- you need a graphical disk usage tool with charts
- you need network or cloud storage analysis
- you want deep file content inspection rather than size reporting

## Facets
- artifact type: cli-tool
- maturity: active
- function: cli, file-system, terminal-ui, developer-tools
- domain: developer-tools, files
- platform: windows, cli, cross-platform, go
- tags: disk-usage, disk-analyzer, ncdu-alternative, tui, storage-analysis, command-line, linux, macos, docker

## Member repositories
- dundee/gdu (main) score 99

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:32.500070+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 2026-08-29T17:50:47.643415+00:00, confidence not recorded.
  - readme: https://github.com/dundee/gdu (fetched 2026-08-28T04:09:32.500070+00:00, sha 8fe291772c88)
- Data as of 2026-08-30T08:39:29.467469+00:00.