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Python-native workflow orchestration platform for building, scheduling, and monitoring data pipelines with ordinary Python code.

• Automation

Fast, high-level Python web scraping and crawling framework for extracting structured data from websites.

• Developer Tools

Django-based, open-source content management system focused on editor experience, with a headless content API for decoupled frontends.

• CMS

Radically simple IT automation platform for configuration management, deployment and orchestration.

• DevOps

Unified programming model for defining batch and stream data processing pipelines that can run portably across multiple execution engines.

• Analytics

Open-source framework for research and building systems of multiple communicating, role-playing AI agents that collaborate autonomously.

• AI & Machine Learning

Multi-agent orchestration framework for building teams of collaborating, role-based AI agents that work together autonomously to complete complex tasks.

• AI & Machine Learning

Open-source testing framework for evaluating LLM outputs, treating LLM application quality checks like conventional unit tests.

• AI & Machine Learning

Deep learning optimization library from Microsoft for training and running very large models efficiently across multiple GPUs.

• AI & Machine Learning

Document parsing library that converts PDFs, Word docs, and other formats into clean, structured data ready for LLM and RAG pipelines.

• AI & Machine Learning

Time-series metrics storage and graphing system that has been a foundational building block of monitoring stacks for over a decade.

• Monitoring

Programming paradigm and library for controlling LLM generation with interleaved prompting, control flow, and constrained output in one program.

• AI & Machine Learning

Open-source framework for building production-ready search and RAG (retrieval-augmented generation) applications with LLMs.

• AI & Machine Learning

Library for getting reliable, structured data output from LLMs using function-calling APIs and Pydantic models for validation.

• AI & Machine Learning

The standard web-based interactive computing environment for notebooks, code, and data, widely used across data science and research.

• Developer Tools

Kubernetes-native platform for serving machine learning models at scale, standardizing model deployment across frameworks.

• AI & Machine Learning

Machine learning platform for Kubernetes that bundles pipelines, model training, hyperparameter tuning, and serving into one toolkit.

• AI & Machine Learning

Framework for developing applications powered by large language models, agents and retrieval-augmented generation.

• AI & Machine Learning

Data framework for connecting large language models to your own data - documents, databases, APIs - for retrieval-augmented applications.

• AI & Machine Learning

Open-source platform for managing the machine learning lifecycle: experiment tracking, model packaging, versioning, and deployment.

• AI & Machine Learning

Toolkit for adding programmable safety and behavioral guardrails to LLM-powered conversational applications.

• AI & Machine Learning

Library for constraining LLM output to a specific structure - JSON schema, regex, grammar - guaranteeing valid, parseable results.

• AI & Machine Learning

Open source product analytics platform with feature flags, session replay and A/B testing.

• Analytics

Type-safe agent framework from the team behind Pydantic, bringing familiar Python typing and validation patterns to LLM application development.

• AI & Machine Learning

Open source machine learning framework that accelerates the path from research prototyping to production deployment.

• AI & Machine Learning

Composable, GraphQL-first headless commerce platform built as a high-performance API for building custom storefronts and commerce experiences.

• E-commerce

Microsoft's open-source SDK for integrating large language models into applications, with support for plugins, memory, and planning.

• AI & Machine Learning

Application monitoring platform that helps developers diagnose, fix and optimize the performance of their code.

• Monitoring

Fast serving framework for large language models and vision-language models, with a structured generation language for complex LLM programs.

• AI & Machine Learning

Unified analytics engine for large-scale batch and stream data processing, one of the most widely adopted big data frameworks.

• Analytics

Event-driven automation platform that triggers actions and workflows automatically in response to events across your infrastructure.

• Automation

End-to-end open source platform for machine learning, from research to production.

• AI & Machine Learning

Library for fine-tuning large language models significantly faster and with less memory than standard training approaches.

• AI & Machine Learning

High-throughput, memory-efficient inference and serving engine for large language models, built for running LLMs in production at scale rather than on a single local machine.

• AI & Machine Learning

Open-source access-control library implementing ACL, RBAC, and ABAC authorization models, with production-ready ports for Go, Java, Python, Node.js, and more.

• Authentication & Security