Collection
AI Observability
The AI Observability collection tracks 12 curated open-source projects, 10 of them live on TrendingRepo right now — ranked by a cross-source momentum score blending GitHub star velocity with mentions on Hacker News, X, Bluesky, Product Hunt and Dev.to.
Live · top 12 repos · sorted by momentum across 24H
LIVE · 37m| # | Repository | Stars | 24h | 7d | 30d | Trend | Mentions | Actions |
|---|---|---|---|---|---|---|---|---|
| 01 | langfuse/langfuse 🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23 | 31.9K | — | +381+1.2% | +2K+6.8% | |||
| 02 | mlflow/mlflow The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data. | 27.2K | +8+0.0% | +106+0.4% | +497+1.9% | |||
| 03 | Arize-ai/phoenix AI Observability & Evaluation | 10.8K | +2+0.0% | +107+1.0% | +448+4.3% | |||
| 04 | zenml-io/zenml ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io. | 5.5K | +2+0.0% | +31+0.6% | +59+1.1% | |||
| 05 | Helicone/helicone 🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓 | 6K | +3+0.1% | +25+0.4% | +135+2.3% | |||
| 06 | pydantic/logfire AI observability platform for production LLM and agent systems. | 4.4K | +1+0.0% | +12+0.3% | +67+1.5% | |||
| 07 | openlit/openlit 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. | 2.6K | +2+0.1% | +17+0.6% | +87+3.4% | |||
| 08 | traceloop/openllmetry Open-source observability for your GenAI or LLM application, based on OpenTelemetry | 7.3K | +4+0.1% | +18+0.2% | +100+1.4% | |||
| 09 | evidentlyai/evidently 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. | 7.8K | +2+0.0% | +40+0.5% | +110+1.4% | |||
| 10 | AgentOps-AI/agentops Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI | 5.7K | — | +13+0.2% | +83+1.5% | |||
| 11 | uptrain-ai/uptrain No description published. | 0 | — | — | — | |||
| 12 | whylabs/whylogs No description published. | 0 | — | — | — |