Droppy - Self Hosted File Manager on Docker

Droppy – Self Hosted File Manager on Docker

shared hosting docker

Droppy is a self-hosted file storage server with a web interface and capabilities to edit files and view media directly in the browser. It is particularly well-suited to be run on low-end hardware like the Raspberry Pi. Today I install it on Docker on my PopOS machine!

Run this compose command in Portainer stacks page. If you don’t have Docker and Portainer installed, reference this video guide.

version: ‘2’
container_name: droppy
image: silverwind/droppy
– 8989:8989
– /docker/Droppy:/config
– /docker/Droppy/files:/files
restart: unless-stopped

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Tags used in this video:
2020, self hosted file manager, droppy, install droppy on docker, cloudflare, self hosted file sharing, networking, selfhosting, self-hosted, self hosting, geeked, homelab, geekedtv, grablab, using cloudflare with your domain, popos, debian

13 thoughts on “Droppy – Self Hosted File Manager on Docker

  1. Just what I was looking for related to what droppy is and whether it will work for my needs. It took me way too long to realize that was music I think making a "clicking noise", I think it was just really low in my headset. Sub from me.

  2. Hi Jeremy. Thanks for the vid. I can't get the droppy interface to load using NPM. Locally the site goes to http://localip:portnumber/#/ but when NPM is used the address is missing the trailing / and will not load the interface. There is a note of this in the droppy github issues area but the solution refers to nginx not NPM. I don't know how to implement the solution in NPM. Would be great if you could help me out. Thanks and great to see your subs going up steadily. You deserve it for the in depth and precise vids you create.

  3. Great video. Will this still work if I do want do want serve video files but don't need any fancy interface, playlist, media info, etc.? If not what would you recommend? Cheers.

  4. Great content, not sure about the music. I would love to see a kubernetes direction. Could be a pi cluster or an x86 based. Could use some low hardware, like NUCs.

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