distributed

An Open Source Machine Learning Framework for Everyone

ClickHouse® is a real-time analytics database management system

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

A scalable, distributed, collaborative, document-graph database, for the realtime web

A distributed task scheduling framework.（分布式任务调度平台XXL-JOB）

High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios

Redisson: the high-level Java client for Redis and Valkey. Sync/Async/RxJava/Reactive API. Over 50 Valkey and Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Bloom filter, Spring, Tomcat, Scheduler, JCache API, Hibernate, RPC, local cache..

Peace of mind from prototype to production

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Enterprise job scheduling middleware with distributed computing ability.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Distribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra.

CNCF sandbox project, an open source distributed time-series database with high concurrency, high performance, and high scalability

Sidequest is a modern, scalable background job processor for Node.js applications.

Tork is a lightweight, distributed workflow engine that runs tasks as simple scripts within Docker containers.

Background task queue for Python backed by Redis, a super minimal Celery

A distributed job scheduling and distributed computing framework