fiddler-labs/fiddler-examples
GitHub repository with 20 stars and 5 forks.
Language: Jupyter Notebook
Topics: ai-observability, explainable-ai, model-monitoring
GitHub repository with 20 stars and 5 forks.
Language: Jupyter Notebook
Topics: ai-observability, explainable-ai, model-monitoring
2026-06-05: 20 stars and 5 forks.
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
GitHub repository with 9,297 stars and 592 forks.
Trending score: 2.37; stars gained: +326; forks gained: +20.
Language: Jupyter Notebook
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 16,983 stars and 4,249 forks.
Trending score: 1.87; stars gained: +8; forks gained: +6.
Language: Jupyter Notebook
Topics: agents, gcp, gemini, gemini-api, gen-ai, generative-ai
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
GitHub repository with 5,622 stars and 1,017 forks.
Trending score: 1.87; stars gained: +93; forks gained: +13.
Language: Jupyter Notebook
GitHub repository with 2,688 stars and 332 forks.
Trending score: 1.82; stars gained: +48; forks gained: +12.
Language: Jupyter Notebook
Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A
GitHub repository with 131 stars and 45 forks.
Trending score: 1.70; stars gained: +32; forks gained: +14.
Language: Jupyter Notebook
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
GitHub repository with 41,902 stars and 8,303 forks.
Trending score: 1.49; stars gained: +23; forks gained: +3.
Language: Jupyter Notebook
Topics: course, data-engineering, dbt, docker, free, kafka
AI Observability & Evaluation
GitHub repository with 9,991 stars and 910 forks.
Trending score: 3.03; stars gained: +17; forks gained: +2.
Language: Python
Topics: agents, ai-monitoring, ai-observability, aiengineering, anthropic, datasets
The open-source Observability 2.0 database. One engine for metrics, logs, and traces — replacing Prometheus, Loki & ES.
GitHub repository with 6,326 stars and 494 forks.
Trending score: 1.83; stars gained: +5; forks gained: +1.
Language: Rust
Topics: ai-observability, analytics, cloud-native, database, distributed, greptimedb
Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.
GitHub repository with 2,497 stars and 290 forks.
Trending score: 1.74; stars gained: +9; forks gained: +2.
Language: TypeScript
Topics: ai-observability, amd-gpu, clickhouse, distributed-tracing, genai, gpu-monitoring
AI observability platform for production LLM and agent systems.
GitHub repository with 4,280 stars and 244 forks.
Trending score: 0.56; stars gained: +0; forks gained: +0.
Language: Python
Topics: agent-observability, ai, ai-observability, ai-tools, evals, fastapi
Real-time cost observability for Model Context Protocol (MCP) tool calls. Wraps any MCP server, attributes spend per tool/project/customer. Free tier 25K calls/mo. EU-hosted
GitHub repository with 65 stars and 0 forks.
Trending score: 0.30; stars gained: +1; forks gained: +0.
Language: TypeScript
Topics: ai-agents, ai-observability, claude-desktop, cost-tracking, cursor, llm-cost
Lightweight Python SDK for LLM inference logging and observability
GitHub repository with 9 stars and 1 forks.
Trending score: 0.02; stars gained: +0; forks gained: +0.
Language: Python
Topics: ai-agents, ai-observability, anthropic, langchain, llm, llm-observability