Welcome!

This is a (closed source as of right now) self-host file manager service similar to Nextcloud.
Initially started this project because I was unhappy with the development direction of Nextcloud. Some features like Ace text editor were removed and replaced with a WYSIWYG editor.
Another reason why I started this project was to learn Python, Flask and server-client communication and architecture.
After some time I started to want more from this project, like:

• Efficiency (lighter footprint on small devices like Raspberry Pi 4).
• Portability (single file setup).
• Better theme.
• Faster client reload times.
• Resumable uploads.
• Tags.

To achieve all of these I re-wrote the backend in Rust and I used Actix as the framework. For tags I used SQLite.
As for the front-end, I started tinkering with Svelte (the previous version of Filey was written in vanilla JavaScript).

Technologies used for the early version:

• Vanilla JS + JQuery
• Python + Flask

Technologies used for current version:

• Svelte + JQuery
• Rust + Actix

There is a severe lack of self-hostable bookmark managers out there, unlike file managers where you have plenty to choose from. So I started development on a fork of Filey with an SQLite backend where bookmarks can be stored.
Initially Cluster could only sort bookmarks in directories using tags. Later thought of mixing the two into "tag-paths". Now a bookmark can be stored inside multiple directories, all of them acting as tags.

Technologies used:

• Svelte + JQuery
• Rust + Actix
• SQLite/PostgreSQL

A browser extension for Cluster.
Save, edit or remove bookmarks.

Technologies used:

• Vanilla JS

A browser extension for Youtube.

• Adjust the number of video suggestions displayed.
• Select from four thumbnail options:
• Author's default YouTube thumbnail.
• Video start screenshot (YBT default).
• Middle video screenshot.
• Video end screenshot.

Technologies used:

• Vanilla JS

Web wrapper for youtube-dl and yt-dlp.
Written in Go.

Technologies used:

• Go

A bookmark manager desktop application written in Python and TKinter.
Runs on Windows, Linux and MacOS.

Technologies used:

• Python + TKinter