pg_cron is a simple cron-based job scheduler for PostgreSQL (10 or higher) that runs inside the database as an extension. It uses the same syntax as regular cron, but it allows you to schedule PostgreSQL commands directly from the database. pg_cron can run multiple jobs in parallel, but it runs at most one instance of a job at a time. If a second run is supposed to start before the first one finishes, then the second run is queued and started as soon as the first run completes.

pg_cron - Run periodic jobs in PostgreSQL

Karpenter simplifies Kubernetes infrastructure with the right nodes at the right time. It automatically launches just the right compute resources to handle your cluster's applications. It is designed to let you take full advantage of the cloud with fast and simple compute provisioning for Kubernetes clusters. Its main job is to add nodes to handle unschedulable pods, schedule pods on those nodes, and remove the nodes when they are not needed.
 
It responds quickly and automatically to changes in application load, scheduling, and resource requirements, placing new workloads onto a variety of available compute resource capacity. It comes with a set of opinionated defaults in a single, declarative Provisioner resource which can easily be customized. No additional configuration required.

Karpenter simplifies Kubernetes infrastructure with the right nodes at the right time. It automatically launches just the right compute resources to handle your cluster's applications. It is designed to let you take full advantage of the cloud with fast and simple compute provisioning for Kubernetes clusters. Its main job is to add nodes to handle unschedulable pods, schedule pods on those nodes, and remove the nodes when they are not needed.

Karpenter - Kubernetes Node Autoscaling: built for flexibility, performance, and scalability

Oozie is a workflow scheduler system to manage Apache Hadoop jobs. Its jobs are Directed Acyclical Graphs (DAGs) of actions and triggered by time (frequency) and data availability. Oozie is integrated with the rest of the Hadoop stack supporting several types of Hadoop jobs out of the box (such as Java map-reduce, Streaming map-reduce, Pig, Hive, Sqoop and Distcp) as well as system specific jobs (such as Java programs and shell scripts).

Apache Oozie - Workflow Scheduler for Hadoop

Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
 
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.
 
Airflow pipelines are defined in Python, allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically.

Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Bree is the best job scheduler for Node.js and JavaScript with cron, dates, ms, later, and human-friendly support. It uses worker threads (Node.js) and web workers (browsers) to spawn sandboxed processes, and supports async/await, retries, throttling, concurrency, and cancelable jobs with graceful shutdown. 
 
Bree was created to give you fine-grained control with simplicity, and has built-in support for workers, sandboxed processes, graceful reloading, cron jobs, dates, human-friendly time representations, and much more.

Bree is the best job scheduler for Node.js and JavaScript with cron, dates, ms, later, and human-friendly support. It uses worker threads (Node.js) and web workers (browsers) to spawn sandboxed processes, and supports async/await, retries, throttling, concurrency, and cancelable jobs with graceful shutdown. 

Bree - Best job scheduler for Node.js and JavaScript with cron, dates, ms, later, and human-friendly support

Agenda is a light-weight job scheduling library for Node.js. It aims to keep its code base small. It is  backed by Mongo backed persistence layer. It supports scheduling with configurable priority, concurrency, repeating and persistence of job results, Scheduling via cron or human readable syntax, Event backed job queue that you can hook into.

Agenda - Lightweight job scheduling for Node.js

Easy!Appointments is a highly customizable web application that allows customers to book appointments with you via a sophisticated web interface. Moreover, it provides the ability to sync your data with Google Calendar so you can use them with other services. Easy!Appointments will run smoothly with your existing website as it can be installed in a single folder of the server and of course share an existing database.
 
Its features include:
<ul>
<li>Customers and appointments management.</li>
<li>Services and providers organization.</li>
<li>Working plan and booking rules.</li>
<li>Google Calendar synchronization.</li>
<li>Email notifications system.</li>
<li>Self hosted installation.</li>
<li>Translated user interface.</li>
<li>User community support.</li>
</ul>

Easy!Appointments is a highly customizable web application that allows customers to book appointments with you via a sophisticated web interface. Moreover, it provides the ability to sync your data with Google Calendar so you can use them with other services. Easy!Appointments will run smoothly with your existing website as it can be installed in a single folder of the server and of course share an existing database.

Easy!Appointments - Open Source Appointment Scheduler 

Quartz is a full-featured, open source job scheduling service that can be integrated with, or used along side virtually any Java EE or Java SE application - from the smallest stand-alone application to the largest e-commerce system. Quartz can be used to create simple or complex schedules for executing tens, hundreds, or even tens-of-thousands of jobs; jobs whose tasks are defined as standard Java components that may executed virtually anything you may program them to do. The Quartz Scheduler includes many enterprise-class features, such as JTA transactions and clustering. If your system has recurring maintenance jobs then Quartz may be your ideal solution. 

 Its major features include: 
 <UL>
	<LI>Job Scheduling, Jobs are scheduled to run when a given Trigger occurs</LI>
	<LI>Job Execution</LI>
	<LI>Job Persistence</LI>
	<LI>Quartz can participate in JTA transactions</LI>
	<LI>Supports Fail-over, Load Balancing</LI>
 </UL>

Quartz is a full-featured, open source job scheduling service that can be integrated with, or used along side virtually any Java EE or Java SE application - from the smallest stand-alone application to the largest e-commerce system.

Quartz - A full-featured, Java-based, In-process job scheduler

Rundeck is an open source automation service with a web console, command line tools and a WebAPI. It lets you easily run automation tasks across a set of nodes.  It can schedule a job, more secure replacement of cron. It provides support for runbook automation where it can execute common set of reusable procedures.

Rundeck - Job Scheduler and Runbook Automation

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