Write scalable load tests in plain Python 🚗💨
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Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Scalable PaaS (automated Docker+nginx) - aka Heroku on Steroids
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
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.
Misago is fully featured modern forum application that is fast, scalable and responsive.
Scalable machine 🤖 learning for time series forecasting.
Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
iWF is a Workflow-As-Code microservice orchestration platform offering an orchestration coding framework and service for building resilient, fault-tolerant, scalable long-running processes
scalable audio processing framework and server written in Python