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💫 Toolkit to help you get started with Spec-Driven Development
Typescript/React Library for AI Chat💬🚀
Python tool for converting files and office documents to Markdown.
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support
An extremely fast Python package and project manager, written in Rust.
A high-throughput and memory-efficient inference and serving engine for LLMs
Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Evaluation and Tracking for LLM Experiments and AI Agents
Supercharge Your LLM Application Evaluations 🚀
scikit-learn: machine learning in Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
💫 Industrial-strength Natural Language Processing (NLP) in Python
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Set of tools to assess and improve LLM security.
Adding guardrails to large language models.
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Visual testing tool for MCP servers