--- title: "agentops vs openinference" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-arize-ai-openinference" tools: ["agentops-ai-agentops", "arize-ai-openinference"] --- # agentops vs openinference *GraphCanon updated Aug 21, 2026* ## Verdict Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; pick openinference if openInference is a tool focused on providing observability for AI systems using OpenTelemetry, designed to complement it by enabling tracing of AI applications. It is natively supported by Arize Phoenix and AX but can be. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 612 forks, and 176 open issues, last pushed Jun 25, 2026. [openinference](https://arize-ai.github.io/openinference/) has 1.2k stars, 299 forks, and 238 open issues, last pushed Aug 20, 2026. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [openinference's repository](https://github.com/Arize-ai/openinference). | | [agentops](/tools/agentops-ai-agentops.md) | [openinference](/tools/arize-ai-openinference.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | OpenTelemetry Instrumentation for AI Observability | | Stars | 5,771 | 1,159 | | Forks | 612 | 299 | | Open issues | 176 | 238 | | Language | Python | Python | | Adopt for | AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. | OpenInference is a tool focused on providing observability for AI systems using OpenTelemetry, designed to complement it by enabling tracing of AI applications. It is natively supported by Arize Phoenix and AX but can be | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentops](/tools/agentops-ai-agentops.md) | [openinference](/tools/arize-ai-openinference.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 49d | 0d | | Open issues (now) | 176 | 238 | | Stars delta | Unknown | +55 (30d) | | Open issues delta | Unknown | +5 (30d) | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/arize-ai-openinference/trust.md) | ## Decision facts: agentops - **Adopt for:** AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. ## Decision facts: openinference - **Adopt for:** OpenInference is a tool focused on providing observability for AI systems using OpenTelemetry, designed to complement it by enabling tracing of AI applications. It is natively supported by Arize Phoenix and AX but can be ## Choose when ### Choose agentops if… - License: agentops is MIT, openinference is Apache-2.0. - Tags unique to agentops: ai-agents, benchmarking, cost-tracking. - Also covers AI Agents. - Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK ### Choose openinference if… - License: openinference is Apache-2.0, agentops is MIT. - Tags unique to openinference: aiops, llmops, openinference, telemetry. - When you are working with AI applications that need detailed tracing capabilities alongside observability features provided by OpenTelemetry. ## When NOT to use agentops - If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI - In case self-hosting of components is impractical due to resource constraints ## When NOT to use openinference - When your AI applications do not require the specific tracing features supported by OpenInference and can operate effectively with standard OpenTelemetry capabilities alone. - If you are looking for alternatives that offer more generic observability features without needing to integrate Arize-specific tools, as this might make OpenInference less beneficial. ## Common questions ### What is the difference between agentops and openinference? agentops: Python SDK for AI agent monitoring and LLM cost tracking. openinference: OpenTelemetry Instrumentation for AI Observability. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentops over openinference? Choose agentops over openinference when License: agentops is MIT, openinference is Apache-2.0; Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Also covers AI Agents; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK. ### When should I choose openinference over agentops? Choose openinference over agentops when License: openinference is Apache-2.0, agentops is MIT; Tags unique to openinference: aiops, llmops, openinference, telemetry; When you are working with AI applications that need detailed tracing capabilities alongside observability features provided by OpenTelemetry. ### When should I avoid agentops? If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI In case self-hosting of components is impractical due to resource constraints ### When should I avoid openinference? When your AI applications do not require the specific tracing features supported by OpenInference and can operate effectively with standard OpenTelemetry capabilities alone. If you are looking for alternatives that offer more generic observability features without needing to integrate Arize-specific tools, as this might make OpenInference less beneficial. ### Is agentops or openinference more popular on GitHub? agentops has more GitHub stars (5,771 vs 1,159). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and openinference open source? Yes - both are open-source projects on GitHub (agentops: MIT, openinference: Apache-2.0). ### Where can I find alternatives to agentops or openinference? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [openinference alternatives](/tools/arize-ai-openinference/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [openinference markdown twin](/tools/arize-ai-openinference/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/agentops-ai-agentops-vs-arize-ai-openinference.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentops or openinference? agentops: Steady. openinference: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agentops and openinference? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [openinference trust report](/tools/arize-ai-openinference/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentops-ai-agentops`](/api/graphcanon/graph?tool=agentops-ai-agentops) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_