Search Results for "job shop scheduling"
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Showing 123 open source projects for "job shop scheduling"
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XXL-JOB
A distributed task scheduling framework
XXL-JOB is a distributed task scheduling platform for managing and executing jobs in Java-based applications. Designed for scalability and ease of use, it provides a powerful web interface for task definition, monitoring, and execution. XXL-JOB supports various scheduling strategies, distributed execution, failover, and script-based job execution. -
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pg-boss
Queueing jobs in Postgres from Node.js like a boss
pg-boss is a job queue manager for Node.js applications that leverages PostgreSQL to handle job scheduling, processing, and persistence. -
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Quartz.NET
Quartz enterprise scheduler .NET
Quartz.NET is a full-featured, open-source job scheduling system that can be used from smallest apps to large-scale enterprise systems. Can run embedded within an application or even instantiated as a cluster of stand-alone programs (with load-balance and fail-over capabilities). Jobs are scheduled to run when a given trigger occurs, triggers support wide variety of scheduling options. -
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PowerJob
Enterprise job scheduling middleware with distributed computing
PowerJob is an open-source distributed computing and job scheduling framework which allows developers to easily schedule tasks in their own application. Front-end page is provided and developers can manage their task, monitor the status, check the logs online, etc. Four timing strategies are supported, including CRON expression, fixed rate, fixed delay and OpenAPI which allows you to define your own scheduling policies, such as delaying execution. -
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Sidekiq
Simple, efficient background processing for Ruby
Sidekiq is a background job processing framework for Ruby that leverages multithreading to handle thousands of jobs concurrently with minimal memory overhead. It integrates seamlessly with Rails and other Ruby applications, letting developers offload tasks such as email delivery, file processing, and API calls so the main web process stays responsive. Sidekiq uses Redis as its backend, storing job queues, scheduling information, and retries, with support for delayed jobs and exponential backoff on failures. ... -
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pg_timetable
pg_timetable: Advanced scheduling for PostgreSQL
pg_timetable is a flexible job scheduler for PostgreSQL that allows scheduling of SQL or shell tasks directly within the database. It supports complex workflows, error handling, and dependency management, making it a powerful alternative to cron or external schedulers for database-related jobs. -
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Oban
Robust job processing in Elixir, backed by modern PostgreSQL
...It provides a simple and consistent API for scheduling and performing jobs, and it is built to be fault-tolerant and easy to monitor. Oban is fundamentally different from other background job processing tools because it retains job data for historic metrics and inspection. You can leave your application running indefinitely without worrying about jobs being lost or orphaned due to crashes. -
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BullMQ
Message Queue and Batch processing for NodeJS and Python
BullMQ is a powerful, modern Node.js library for creating and managing robust job queues, built on top of Redis. It is designed for handling distributed jobs and messages in scalable applications. -
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Agenda
Lightweight job scheduling for Node.js
A light-weight job scheduling library for Node.js. -
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Quartz is a richly featured, open source job scheduling library that can be integrated within virtually any Java 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 execute virtually anything you may program them to do.
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ElasticJob
Distributed scheduled job framework
ElasticJob is a distributed scheduling solution consisting of two separate projects, ElasticJob-Lite and ElasticJob-Cloud. ElasticJob-Lite is a lightweight, decentralized solution that provides distributed task sharding services. ElasticJob-Cloud uses Mesos to manage and isolate resources. It uses a unified job API for each project. Developers only need code one time and can deploy at will. -
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Tillywork
Opensource work management solution
Tillywork is a workflow automation and job scheduling system built on top of PostgreSQL. It’s designed for executing complex job chains with dependency management and error handling. Tillywork leverages SQL to define workflows, making it well-suited for data engineers and backend teams who want fine-grained control without adding a new runtime. -
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Procrastinate
PostgreSQL-based Task Queue for Python
Procrastinate is a powerful PostgreSQL-based task queue for Python, built to integrate seamlessly with Django and FastAPI. It allows you to schedule and execute background jobs using your existing database infrastructure, avoiding the need for additional queueing systems like Redis. Procrastinate is designed with simplicity, reliability, and observability in mind. -
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Kueue
Kubernetes-native Job Queueing
Kueue is a set of APIs and controllers for job queueing. It is a job-level manager that decides when a job should be admitted to start (as in pods can be created) and when it should stop (as in active pods should be deleted). Use Kueue to build a multi-tenant batch service with quotas and a hierarchy for sharing resources among teams in your organization. Based on the available quotas, Kueue decides when jobs should wait and when and where they should run. Kueue works in combination with... -
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Quantum
Cron-like job scheduler for Elixir
Cron-like job scheduler for Elixir. To use Quantum in your project, edit the mix.exs file and add Quantum to the list of dependencies. To see more transparently what quantum is doing, configure the logger to display :debug messages. If you encounter any problems with quantum, please search if there is already an open issue addressing the problem. Configure your cronjobs in your config/config.exs. Persistent storage can be used to track jobs and last execution times over restarts. If storage... -
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Dolphin Scheduler
A distributed and extensible workflow scheduler platform
...Support multi-tenant. Support many task types e.g., spark,flink,hive, mr, shell, python, sub_process. Support custom task types, Distributed scheduling, and the overall scheduling capability will increase linearly with the scale of the cluster. -
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Bareos
Bareos is a cross-network Open Source backup solution
Bareos (Backup Archiving Recovery Open Sourced) is an enterprise-grade open-source backup solution forked from Bacula. It offers robust backup, restore, and archiving features for Linux, Windows, and macOS systems. Bareos supports encrypted and deduplicated backups across networks, making it ideal for managing large infrastructure backups. -
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Kubeflow Trainer
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
...One of its key innovations is the integration of MPI-based distributed computing within Kubernetes, allowing efficient communication between nodes for high-performance training. It also includes advanced scheduling capabilities through integrations with tools like Kueue and Volcano, enabling topology-aware resource allocation and multi-cluster job orchestration. -
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JobRunr
An extremely easy way to perform background processing in Java
Incredibly easy way to perform fire-and-forget, delayed, scheduled and recurring jobs inside Java applications using only Java 8 lambda's. CPU and I/O intensive, long-running and short-running jobs are supported. Persistent storage is done via either RDBMS (e.g. Postgres, MariaDB/MySQL, Oracle, SQL Server, DB2 and SQLite) or NoSQL (ElasticSearch, MongoDB and Redis). JobRunr provides a unified programming model to handle background tasks in a reliable way and runs them on shared hosting,... -
20
xyOps
A complete workflow automation and server monitoring system
xyOps is an all-in-one operations platform that combines job scheduling, workflow automation, server monitoring, alerting, and incident response into a single cohesive system. Instead of stitching together separate tools for cron jobs, runbooks, health checks, on-call alerts, and incident workflows, xyOps aims to keep the whole automation and reliability stack in one place. It is built with developers and ops teams in mind, emphasizing control, extensibility, and the ability to run the platform anywhere without vendor lock-in. ... -
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Blue Whale Configuration Platform
Blue Whale smart cloud configuration platform
Has accumulated experience in supporting hundreds of Tencent businesses, compatible with various complex system architectures, born in operation and maintenance, and proficient in operation and maintenance. From configuration management to job execution, task scheduling and monitoring self-healing, and then through operation and maintenance big data analysis to assist operational decision-making, it covers the full-cycle assurance management of business operations in a comprehensive manner. The open PaaS has a powerful development framework and scheduling engine, as well as a complete operation and maintenance development training system, which helps the rapid transformation and upgrading of operation and maintenance. ... -
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Polyaxon
MLOps tools for managing & orchestrating the ML LifeCycle
Polyaxon is an open-source machine learning operations (MLOps) platform built to help individuals, teams, and organizations develop, train, orchestrate, and monitor machine learning and deep learning workflows at scale with reproducibility and automation as core principles. It provides a unified solution for tracking experiments, managing datasets, scheduling jobs, and comparing results across runs, which greatly improves productivity and collaboration in data science teams. Polyaxon... -
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Marl
A hybrid thread / fiber task scheduler written in C++ 11
marl is a lightweight C++ job system that schedules tasks on a pool of worker threads and runs them using cooperative fibers for high throughput. By decoupling “tasks” from OS threads, it minimizes context switches and lets workloads with fine-grained synchronization scale efficiently. The API is intentionally small—post tasks, wait on fences, and express dependencies—so you can retrofit it into existing engines without adopting a heavyweight framework. Under the hood, fibers allow tasks to... -
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LiveKit Agents
Framework for building realtime multimodal voice AI agents apps
LiveKit Agents is an open source framework designed for building realtime AI agents that can participate as programmable entities within communication sessions. It enables developers to create conversational and multimodal agents capable of processing voice, audio, and other inputs in realtime environments. These agents can join LiveKit rooms as participants and interact with users or systems through speech, text, and other modalities. LiveKit Agents provides libraries and tooling that allow... -
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MoneyPrinter V2
Automate the process of making money online
MoneyPrinter V2 is an open-source automation platform designed to streamline and scale online income generation workflows by combining content creation, social media automation, and marketing strategies into a single system. It is a complete rewrite of the original MoneyPrinter project, focusing on modularity, extensibility, and broader functionality across multiple monetization channels. The platform operates primarily through Python-based scripts that automate tasks such as generating and...
