The open-source alert management and AIOps platform

bzoinq is a library that let's you define tasks on given datetime that play a sound alarm or run a function.

Monitoring system

🚨 PAssist is an Android application to assist you while doing on-call duties. PAssist works for SMS based alerting systems.

此项目为 orion-ops 的拓展插件仓库, 目前仅包含了机器监控数据采集端

We consider Simple, the app, a way to help people with their diseases. It offers people a way to control their alarms, control their ideas, and a way to control what they have to remember. And it offers a simple way to call emergencies, the police and their emergency contacts.

todo.txt manager for Linux, Windows and MacOS, free and open-source (FOSS)

The Smart Alarm App is a feature-rich alarm clock application built using Kotlin for Android. It allows users to set, edit, and delete alarms, providing a user-friendly interface with options for customization.

A reminder to relax your eye and look away from the screen every 20 minutes.

🍀 — Keep track of your prayer times with this mobile app that triggers alarms automatically when its time to pray. Convenient, reliable, and a must-have for spiritual routines.

A simple Android application that allows users to set, edit, and manage alarms. The app utilizes Room for local database management and provides a user-friendly interface for creating and modifying alarms.

Terraform module to provision a lambda function that subscribes to SNS and notifies to Slack.

Python driver and command line tool for Honeywell Midas gas detectors.

Collect and process Alarms, Alerts, and Information from one or more Qumulo clusters.

A reusable alarm extension to Active Record models

ZbxTable is an open source Zabbix reporting system developed using Go

Display Prometheus alerts

A simple C-based alarm clock program allowing users to set, cancel, and monitor alarms in a 12-hour format with AM/PM notation. Features a text-based interface for easy management and real-time alarm activation.

This Python code is derived from the research article "Evaluating and Predicting the Audibility of Acoustic Alarms in the Workplace Using Experimental Methods and Deep Learning" published in the journal Applied Acoustics. It provides a framework for predicting the audibility of acoustic alarms in noise, and includes scripts to reproduce the results

Simple Python 2 alarm clock that plays a random YouTube video from a list.