Search Results for "dashboard chart open source"

Gogs is a simple, stable, self-hosted Git service that is easy to install and setup. All you have to do is run the binary on any platform that Go supports: Linux, macOS and Windows. You may also install from source, from packages, or ship with Docker or Vagrant. Gogs is very lightweight with minimal hardware requirements, running on Raspberry Pi and even on NAS devices. Gogs offers plenty of great features, including various access repositories, repository and organization webhooks,...

100% FREE / open source / PRIVATE cryptocurrency portfolio tracker. Email / text / alexa / telegram price alerts, price charts, mining calcs, leverage / gain / loss / balance stats, news feeds +more. Privately track Bitcoin / Ethereum / unlimited cryptocurrencies. Customize as many assets / markets / alerts / charts as you want. Over 50 Exchanges / 40 Trading Pairs Supported (exchanges / pairings list at bottom of README.txt): https://tinyurl.com/ct-readme Nearly Unlimited Assets...

myPower is a simple monitoring and logging program for the Raspberry Pi. It collects live power usage data from the LeChacal RPICT8 current HAT and CT Sensors. myPower logs the data to daily files calculating each day's KiloWatt Hour Usage. **myPower Remote App is Still In Development** The collected data can be viewed in a user friendly format with a line graph and pie chart. Monthly, Yearly, and lifetime KiloWatt Hour Usage can also be viewed and graphed using the "myPower Remote"...

MQTT-Hyperdash is a fast and efficient dashboard (GUI) for the MQTT framework. It uses the SDL library for graphics rendering, the paho library for communication and the gtk2 framework for user input. The dashboard runs on Linux, but a port to other operating systems is possible. Special features: * Very simple and basic set of base elements. * animated analog input elements, potentiometers. * Fast update rates of 20 Hz are possible. * Easy to use: Each panel/dashboard is...

This project turns edge devices such as Raspberry Pi into an intelligent gateway with deep learning running on it. No internet connection is required, everything is done locally on the edge device itself. Further, multiple edge devices can create a distributed AIoT network. At DT42, we believe that bringing deep learning to edge devices is the trend towards the future. It not only saves costs of data transmission and storage but also makes devices able to respond according to the events...