Package: gdu
Version: 5.36.1-1
Architecture: amd64
Architecture-Variant: amd64v3
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian Go Packaging Team <team+pkg-go@tracker.debian.org>
Installed-Size: 20939
Depends: libc6 (>= 2.34)
Built-Using: badger (= 4.8.0-2), golang-1.26 (= 1.26.5-1), golang-github-cespare-xxhash (= 2.3.0-1), golang-github-cznic-mathutil (= 1.7.1-1), golang-github-dgraph-io-ristretto (= 2.4.0-1), golang-github-dustin-go-humanize (= 1.0.1-1), golang-github-fatih-color (= 1.19.0-1), golang-github-gdamore-encoding (= 1.0.1-1), golang-github-gdamore-tcell.v2 (= 2.13.10-1), golang-github-go-logr-logr (= 1.4.3-1), golang-github-go-logr-stdr (= 1.2.2-4), golang-github-google-flatbuffers (= 24.12.23-1), golang-github-google-uuid (= 1.6.0-1), golang-github-klauspost-compress (= 1.19.0+ds1-1), golang-github-lucasb-eyer-go-colorful (= 1.4.0-2), golang-github-maruel-natural (= 1.1.0-3), golang-github-mattn-go-colorable (= 0.1.13-1), golang-github-mattn-go-isatty (= 0.0.20-1), golang-github-pkg-errors (= 0.9.1-3), golang-github-remyoudompheng-bigfft (= 0.0+git20230129.24d4a6f-1), golang-github-rivo-tview (= 0.42.0-2), golang-github-rivo-uniseg (= 0.4.7-1), golang-github-spf13-cobra (= 1.10.2-1), golang-github-spf13-pflag (= 1.0.10-1), golang-github-ulikunitz-xz (= 0.5.15-1), golang-golang-x-exp (= 0.0~git20260529.c761662-1), golang-golang-x-net (= 1:0.56.0-1), golang-golang-x-sys (= 0.45.0+dfsg-1), golang-golang-x-term (= 0.41.0-1), golang-golang-x-text (= 0.36.0-1), golang-google-protobuf (= 1.36.10-2), golang-gopkg-h2non-filetype.v1 (= 1.1.3+ds1-1), golang-gopkg-yaml.v3 (= 3.0.4-3), golang-logrus (= 1.9.3-1), golang-modernc-libc (= 1.66.10-3), golang-modernc-memory (= 1.11.0+dfsg-4), golang-modernc-sqlite (= 1.40.0+dfsg-1), golang-opentelemetry-otel (= 1.43.0-2ubuntu1)
Section: admin
Priority: optional
Homepage: https://github.com/dundee/gdu
Description: Pretty fast disk usage analyzer
 Disk usage analyzer with console interface written in Go.
 Intended primarily for SSD disks where it can fully
 utilize parallel processing. However HDDs work as well, but
 the performance gain is not so huge.
