An Open Source Machine Learning Framework for Everyone

ClickHouse® is a real-time analytics database management system

:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more. Features: Generate Text, MCP, Audio, Video, Images, Voice Cloning, Distributed, P2P and decentralized inference

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

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

☁️ Nextcloud server, a safe home for all your data

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）

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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

Redisson - Valkey & Redis Java client. Real-Time Data Platform. 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

high-performance graph database for real-time use cases

CAT 作为服务端项目基础组件，提供了 Java, C/C++, Node.js, Python, Go 等多语言客户端，已经在美团点评的基础架构中间件框架（MVC框架，RPC框架，数据库框架，缓存框架等，消息队列，配置系统等）深度集成，为美团点评各业务线提供系统丰富的性能指标、健康状况、实时告警等。

AI-powered development workspaces with reusable components, architectural clarity and zero overhead.

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.

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

A privacy-aware, distributed, open source social network.

A hyperparameter optimization framework

A distributed, fast open-source graph database featuring horizontal scalability and high availability

A distributed transaction framework, supports workflow, saga, tcc, xa, 2-phase message, outbox patterns, supports many languages.

Modin: Scale your Pandas workflows by changing a single line of code

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

Peer-to-Peer Databases for the Decentralized Web

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.

IPFS implementation in JavaScript

Distributed SQL database in Rust, written as an educational project

🪓 Run Background Tasks at Scale