dundee/gdu
View on GitHub ↗ ★ 6,173 Go
Fast disk usage analyzer with console interface written in Go
11 mentions on Hacker News by 11 people: 2 stories, 9 comments · first 2021-07-29 · latest 2026-10-05
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I have personally moved to gdu ( https://github.com/dundee/gdu ) as I found it to be way faster than ncdu (I haven't checked the fork but I don't expect it to improve that much). 1 minute vs 1 second for my entire / which includes mounts…
comment by dawidpotocki · 2026-10-05 · in Ncdu: An Updated Fork -
…manage. I recently came across gdu (1) and have installed/used it on every machine since then. [1]: https://github.com/dundee/gdu
comment by entropie · 2026-04-07 · in Running out of disk space in production -
See also `gdu` for an `ncdu` more suited to SSDs: https://github.com/dundee/gdu
comment by lsh0 · 2025-12-30 · in Flame Graphs vs Tree Maps vs Sunburst (2017) -
…combination of `jq` and `gdu`. https://fx.wtf/ Oh, and also `gdu`, which is like `ndu` but faster: https://github.com/dundee/gdu
comment by arcanemachiner · 2024-08-19 · in Modern Unix Tool List -
…There is also gdu[1], where the UI is heavily inspired by ncdu and somehow feels way faster... 1: https://github.com/dundee/gdu
comment by sandreas · 2024-07-11 · in Show HN: Dut – a fast Linux disk usage calculator -
…as the executables are statically compiled and are thus easy to install on remote servers. [1]: https://github.com/dundee/gdu [2]: https://github.com/muesli/duf [3]: https://github.com/laurent22/massren [4]:…
comment by ziotom78 · 2024-01-05 · in Go: What we got right, what we got wrong -
For anyone that likes ncdu I would highly recommend gdu. https://github.com/dundee/gdu
comment by hnarn · 2023-08-26 · in Clean mount lists in Linux -
…the job I've found gdu (similar tool written in Go) significantly faster for larger directories. https://github.com/dundee/gdu
comment by wjdp · 2022-12-07 · in Ncdu – NCurses Disk Usage -
I think https://github.com/dundee/gdu is faster than ncdu
comment by PikachuEXE · 2021-07-29 · in Command line tools for productive programmers