Integrations and tools designed to simplify data exploration, analysis and enhance data science workflows.
Inspect traces, manage prompts, curate datasets, and run experiments using Arize Phoenix, an open-source AI and LLM observability tool.
Predict anything with Chronulus AI forecasting and prediction agents.
Interact with CodeLogic, a Software Intelligence platform that graphs complex code and data architecture dependencies, to boost AI accuracy and insight.
Query and analyze your Opik logs, traces, prompts and all other telemetry data from your LLMs in natural language.
Generate CAD parts and assemblies from text using gNucleus AI models.
Neo4j graph data science server with comprehensive graph algorithms that enables complex graph reasoning and Q&A.
Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with Optuna.
Test, evaluate, and optimize AI agents and RAG apps
Enable Similarity-Distance-Magnitude statistical verification for your search, software, and data science workflows
Improve and quality control your outputs with evaluations using LLM-as-Judge
Tools and templates to create validated and maintainable data charts and dashboards
Actor-critic thinking for performance evaluation
A Model Context Protocol server for generating 15+ visual charts using AntV.
MCP server that fetches and processes arXiv LaTeX sources for precise interpretation of mathematical expressions in papers.
An MCP server for data analysis workflows including reading, preprocessing, feature engineering, model selection, visualization, and hyperparameter tuning.
Get comprehensive ML experiment context and analysis directly from ClearML in your AI conversations.
Analyze large codebases and document collections using high-context models via OpenRouter, OpenAI, or Google AI -- very useful, e.g., with Claude Code
An MCP server that delivers cryptocurrency sentiment analysis to AI agents.
MCP server for autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort. NOTE: Will execute arbitrary Python code on your machine, please use with caution!