Open-source Python framework for LLM-powered applications and agent workflows
Agent & MCP ToolingML Platforms & MLOps
LangChain is an open-source Python framework that provides composable building blocks for chaining LLM calls, tools, retrievers, and memory into production AI applications. It includes LangGraph for stateful multi-agent orchestration and 1000+ integrations with model providers and data stores.
Open-source data labeling platform for multimodal ML and LLM workflows
Computer VisionML Platforms & MLOps
Open-source data labeling platform for multimodal machine learning workflows. Label Studio supports annotation for text, images, audio, video, time series, and LLM evaluation tasks with API, SDK, and storage integrations.
Open-source visual AI dataset curation and evaluation platform
Computer VisionML Platforms & MLOps
Open-source computer vision data curation and model evaluation platform. It helps teams inspect multimodal datasets, manage annotation workflows, and analyze model behavior through a Python-native interface and visual app.
Cross-platform inference and training accelerator for machine learning models.
AI InfrastructureML Platforms & MLOps
Open-source runtime for ONNX models with hardware-specific optimizations for CPUs, GPUs, and edge devices. Supports inferencing and training across multiple ML frameworks.
Open-source interactive computing platform for computational notebooks
ML Platforms & MLOps
Web-based notebook environment that combines live code, equations, narrative text, and rich output. Supports 40+ programming languages with modular architecture for data science and scientific computing.
Open-source machine learning framework for building and deploying ML models
AI InfrastructureML Platforms & MLOps
An end-to-end open-source platform for machine learning with comprehensive tools, libraries, and community resources for building and deploying ML-powered applications.
Open-source deep learning framework with dynamic computation graphs
ML Platforms & MLOps
Open-source machine learning framework developed by Meta and hosted by the Linux Foundation. Provides tensors and dynamic neural networks with strong GPU acceleration.
Open-source toolkit for optimizing and deploying AI inference on Intel hardware
AI Infrastructure
+2 more
Open-source toolkit that accelerates AI inference with lower latency and higher throughput while maintaining accuracy. Supports computer vision, LLMs, and generative AI models from TensorFlow, PyTorch, and ONNX.
