Light Task Scheduler

Features

Distributed Job Schedulers - Provides a distributed job scheduling platform that manages recurring and one-time tasks across a cluster of stateless nodes.
Task Dependency Management - Coordinates complex workflow dependencies by ensuring prerequisite tasks complete successfully before triggering subsequent processes.
Task Lifecycle Management - Offers centralized control to pause, resume, terminate, or manually trigger background tasks.
Fault-Tolerant Coordinators - Ensures system stability through automatic leader election, heartbeat monitoring, and task redistribution during node failures.
Distributed Cluster Management - Organizes computing nodes into scalable clusters with centralized monitoring for high availability.
Distributed Task Queues - Coordinates background job execution with support for task dependencies and retry policies.
Workflow Orchestration - Manages complex task dependencies to ensure prerequisite jobs complete before triggering subsequent workflow steps.
Workflow Orchestration Engines - Acts as a workflow orchestration engine for defining and executing sequences of dependent tasks.
Distributed Cluster Coordination - Coordinates cluster state and task distribution through an automatic leader election model.
Distributed Task Queues - Provides a distributed task queue for managing and executing background jobs across multiple worker nodes.
Event-Driven Workflow Orchestrators - Orchestrates complex sequences of dependent tasks triggered by completion signals and predefined logical flows.
Cluster Node Management - Organizes computing nodes into scalable clusters with automatic master election to maintain high availability.
High Availability Cluster Deployments - Provides a platform for managing distributed computing nodes with automatic master election and high availability.
Heartbeat Monitors - Monitors worker node health and resource metrics via heartbeats to enable automatic failure detection and workload balancing.
Job Lifecycle Management - Offers a centralized interface for monitoring task status, updating parameters, and managing the lifecycle of background jobs.
Fault Tolerance - Ensures reliable job execution through automatic retries, node election, and task redistribution during failures.
Modular Provider Interfaces - Implements a modular service provider interface to allow custom storage, logging, and communication protocol extensions.
Task Retry Policies - Supports configurable retry policies for individual tasks to handle transient failures and ensure reliable execution.
Task Execution Monitoring - Provides real-time visibility into job progress and system performance through a centralized dashboard.
Cluster Monitoring Systems - Aggregates performance metrics and resource utilization across distributed nodes for cluster-wide health monitoring.

Open-source alternatives to Light Task Scheduler

Similar open-source projects, ranked by how many features they share with Light Task Scheduler.

hazelcast/hazelcast
hazelcast/hazelcast
6,570View on GitHub
Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis
Javabig-datacachingdata-in-motion
View on GitHub6,570
prefecthq/prefect
PrefectHQ/prefect
21,640View on GitHub
Prefect is a workflow orchestration platform designed to define, schedule, and monitor complex data pipelines as Python code. It functions as a container-native engine that wraps individual tasks in isolated environments, ensuring consistent dependencies and resource allocation across diverse infrastructure. By utilizing a state-machine-based orchestration model, the system tracks execution progress through discrete transitions and persistent event logs to maintain reliable and observable task processing. The platform distinguishes itself through a decoupled worker-API architecture, which sep
Pythonautomationdatadata-engineering
View on GitHub21,640
optimalbits/bull
OptimalBits/bull
16,243View on GitHub
Bull is a Node.js library for managing distributed jobs and message queues using Redis as the primary data store. It functions as a distributed task worker, job scheduler, and priority queue manager designed to handle asynchronous workloads across multiple processes. The project distinguishes itself by providing a persistent communication channel that decouples servers through the exchange of serializable data objects. It ensures distributed system reliability by detecting stalled tasks and recovering from process crashes to ensure every queued job is completed. The system covers a broad ran
JavaScriptjobjob-queuemessage
View on GitHub16,243
kestra-io/kestra
kestra-io/kestra
27,073View on GitHub
Kestra is a declarative workflow orchestrator designed to manage complex task dependencies and automated processes through versioned configuration files. It functions as a distributed platform that decouples task scheduling from execution by offloading computational workloads to a fleet of worker nodes. The system uses a reactive, event-driven engine to initiate workflows automatically in response to external signals, webhooks, schedules, or file system changes. The platform distinguishes itself through a modular plugin architecture that allows for the integration of custom tasks and external
Javaautomationdata-orchestrationdevops
View on GitHub27,073

See all 30 alternatives to Light Task Scheduler

ltsopensourcelight-task-scheduler

Features

Open-source alternatives to Light Task Scheduler

hazelcast/hazelcast

PrefectHQ/prefect

OptimalBits/bull

kestra-io/kestra

Star history

Open-source alternatives to Light Task Scheduler

hazelcast/hazelcast

PrefectHQ/prefect

OptimalBits/bull

kestra-io/kestra