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The AI Observability collection tracks 12 curated open-source projects, 3 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.
| # | Repository | Stars | 24h | 7d | 30d | Trend | Mentions | Actions |
|---|---|---|---|---|---|---|---|---|
| 01 | Arize-ai/phoenix AI Observability & Evaluation | 10.1K | +3+0.0% | +107+1.1% | +454+4.7% | |||
| 02 | 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. | 7.6K | — | +21+0.3% | +111+1.5% | |||
| 03 | 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 | 5.6K | — | +26+0.5% | +96+1.7% | |||
| 04 | Helicone/helicone No description published. | 0 | — | — | — | |||
| 05 | langfuse/langfuse No description published. | 0 | — | — | — | |||
| 06 | mlflow/mlflow No description published. | 0 | — | — | — | |||
| 07 | openlit/openlit No description published. | 0 | — | — | — | |||
| 08 | pydantic/logfire No description published. | 0 | — | — | — | |||
| 09 | traceloop/openllmetry No description published. | 0 | — | — | — | |||
| 10 | uptrain-ai/uptrain No description published. | 0 | — | — | — | |||
| 11 | whylabs/whylogs No description published. | 0 | — | — | — | |||
| 12 | zenml-io/zenml No description published. | 0 | — | — | — |