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DashMachine

Another web application bookmark dashboard, with fun features.

screenshot

screenshot

Features

  • creates a dashboard to view web pages
  • uses a single .ini file for configuration
  • dark mode/light mode and accent colors
  • custom backgrounds and icons
  • web interface to edit the config file and add image files
  • ability to open web pages in current tab, new tab or iframe
  • hideable sidebar with dragable reveal button
  • user login system
  • 'app templates' which are sample config entries for popular self hosted apps
  • powerful plugin system for adding data from various sources to display on cards
  • multiple users, access groups, access settings
  • tagging system

Installation

Docker

docker create \
  --name=dashmachine \
  -p 5000:5000 \
  -v path/to/data:/dashmachine/dashmachine/user_data \
  --restart unless-stopped \
  rmountjoy/dashmachine:latest

Python

Instructions are for linux.

virtualenv --python=python3 DashMachineEnv
cd DashMachineEnv && source bin/activate
git clone https://git.wolf-house.net/ross/DashMachine.git
cd DashMachine && pip install -r requirements.txt
python3 run.py

Then open a web browser and go to localhost:5000

Default user/password

User: admin
Password: adminadmin

Updating

For python, use git. For docker, just pull the latest image and recreate the container.

Configuration

The user data folder is located at DashMachine/dashmachine/user_data. This is where the config.ini, custom backgrounds/icons, and the database file live. A reference for what can go into the config.ini file can be found on the settings page of the dashmachine by clicking the info icon next to 'Config'.

Note

If you change the config.ini file, you either have to restart the container (or python script) or click the 'save' button in the config section of settings for the config to be applied. Pictures added to the backgrounds/icons folders are available immediately.

Tech used

  • Flask
  • SQLalchemy w/ SQLite
  • Jinja2
  • Materialize css
  • JavaScript/jQuery/jQueryUI
  • Requests (python)
Description
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Readme 15 MiB
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Python 45.3%
CSS 27.5%
HTML 19.3%
JavaScript 7.5%
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