Home Projects embiggen-disk
embiggen-disk
Go

embiggen-disk

embiggden-disk live-resizes a filesystem after first live-resizing any necessary layers below it: an optional LVM LV and PV, and an MBR or GPT partition table

by bradfitz · GitHub
Stars
Forks
Created
Last commit
Category
Language
btrfsext4gptGo
View on GitHub
In plain words

Resize your computer's storage space while keeping your data safe and intact.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
embiggen-disk — GitHub preview card
📈 Star history
483482
2026-07-202026-08-31
📈 Track embiggen-disk

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

embiggden-disk live-resizes a filesystem after first live-resizing any necessary layers below it: an optional LVM LV and PV, and an MBR or GPT partition table

embiggen-disk has 482 stars on GitHub. It has been forked 25 times. embiggen-disk is written mainly in Go. It has been in active development since 2018. Its main topics are btrfs, ext4, gpt, lvm.

Frequently asked questions

What is embiggen-disk?

embiggden-disk live-resizes a filesystem after first live-resizing any necessary layers below it: an optional LVM LV and PV, and an MBR or GPT partition table

Is embiggen-disk open source?

embiggen-disk is an open-source project.

Is embiggen-disk free?

Yes. embiggen-disk is free and open source — you can use, modify and self-host it.

What language is embiggen-disk written in?

embiggen-disk is written mainly in Go.

🏅 Maintainer of this project?
olud.ai badge — embiggen-disk

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=bradfitz-embiggen-disk)](https://olud.ai/project/bradfitz-embiggen-disk.html)
More badge options →
🧬 Shares DNA with

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.