Skip to main content

A lightweight, desktop native, multi-source, modulear dashboard for macOS, Windows and Linux

Project description



A lightweight, desktop native, multisource dashboard for macOS, Windows and Linux


LevityDash aims to be a lightweight, desktop native, multisource dashboard without a required web frontend. The current version only supports PySide2/Qt. However, a key goal of this project is to support multiple frontends and platforms, including embedded.

Note: This project is very much in the proof of concept stage – it functions, but it is far from the goal of a lightweight dashboard.

Current Features


  • Plugin system for adding new sources
  • Scheduling API pulls
  • Data/key maps for automatically parsing ingested data
  • Unit library for automatic localization/conversion
  • Conditional value updates. i.e. if wind speed is zero do not log the wind direction

Data Sources

  • REST API Pull
  • Sockets (UDP, websocket,
  • BLE Advertisements

Builtin Plugins


  • Drag and drop dashboard design (This can be a little funky at times)
  • YAML based dashboard specifications with support for both absolute and relative size/positioning
  • Module grouping
  • Editable Margins for text modules
  • Resizable graph figures
  • Custom, value mapped, gradients for figure items
  • Text filters (i.e. lower, title, upper, digit to ordinal, etc.)

Current Modules

  • Realtime single line text with support for showing units and titles and mapping glyphs/emojis to values
  • Timeseries Graph
  • Customizable Clock
  • Moon Phase
  • Submodule Group for organizing modules

Planned Modules

  • Gauges [nearly complete]
  • Weather Radar
  • Multiline Text
  • RSS Feeds
  • Calendar
  • Mini Graphs
  • More plot types

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

LevityDash-0.1.0b10.tar.gz (12.7 MB view hashes)

Uploaded source

Built Distribution

LevityDash-0.1.0b10-py3-none-any.whl (12.8 MB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page