--- title: "agentops vs dunetrace" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-dunetrace-dunetrace" tools: ["agentops-ai-agentops", "dunetrace-dunetrace"] --- # agentops vs dunetrace *GraphCanon updated Sep 20, 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 dunetrace if dunetrace is a real-time monitoring tool for AI agents in production that provides insights into observability and reliability, primarily targeting Python and Node.js ecosystems. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 625 forks, and 184 open issues, last pushed Jun 25, 2026. [dunetrace](https://dunetrace.com/) has 64 stars, 18 forks, and 20 open issues, last pushed Aug 31, 2026. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [dunetrace's repository](https://github.com/dunetrace/dunetrace). | | [agentops](/tools/agentops-ai-agentops.md) | [dunetrace](/tools/dunetrace-dunetrace.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | Real-time monitoring of production AI agents | | Stars | 5,830 | 64 | | Forks | 625 | 18 | | Open issues | 184 | 20 | | 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. | dunetrace is a real-time monitoring tool for AI agents in production that provides insights into observability and reliability, primarily targeting Python and Node.js ecosystems. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | 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) | [dunetrace](/tools/dunetrace-dunetrace.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 86d | 10d | | Open issues (now) | 184 | 20 | | Stars delta | +59 (30d) | +5 (30d) | | Open issues delta | +8 (30d) | -1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/dunetrace-dunetrace/trust.md) | ## Shared compatibility - **Python**: [agentops](/tools/agentops-ai-agentops.md) - Python runtime; [dunetrace](/tools/dunetrace-dunetrace.md) - Python runtime ## 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: dunetrace - **Pricing:** unknown - The repository does not specify any pricing information; it only mentions a license which is categorized as 'other'. - **Requirements:** Requires Docker - **Adopt for:** dunetrace is a real-time monitoring tool for AI agents in production that provides insights into observability and reliability, primarily targeting Python and Node.js ecosystems. ## Choose when ### Choose agentops if… - License: agentops is MIT, dunetrace is Other. - Tags unique to agentops: benchmarking, cost-tracking. - Also covers AI Agents. - Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK ### Choose dunetrace if… - License: dunetrace is Other, agentops is MIT. - Pricing: The repository does not specify any pricing information; it only mentions a license which is categorized as 'other'.. - Requirements: Requires Docker. - Tags unique to dunetrace: agent-monitoring, agent-observability, real-time-monitoring. - dunetrace ships Docker support for self-hosted deployment. - When you need to monitor the performance of AI agents in real-time, as dunetrace offers insights specific to observability and reliability. ## 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 dunetrace - When focusing solely on non-code aspects like UI/UX without any need for backend AI agent observation. - If you are looking for a platform that supports extensive integrations beyond Python and Node.js, as dunetrace's focus is limited to these environments. - For organizations that prefer proprietary solutions over tools under other licenses. ## Common questions ### What is the difference between agentops and dunetrace? agentops: Python SDK for AI agent monitoring and LLM cost tracking. dunetrace: Real-time monitoring of production AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentops over dunetrace? Choose agentops over dunetrace when License: agentops is MIT, dunetrace is Other; Tags unique to agentops: benchmarking, cost-tracking; Also covers AI Agents; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK. ### When should I choose dunetrace over agentops? Choose dunetrace over agentops when License: dunetrace is Other, agentops is MIT; Pricing: The repository does not specify any pricing information; it only mentions a license which is categorized as 'other'.; Requirements: Requires Docker; Tags unique to dunetrace: agent-monitoring, agent-observability, real-time-monitoring; dunetrace ships Docker support for self-hosted deployment; When you need to monitor the performance of AI agents in real-time, as dunetrace offers insights specific to observability and reliability. ### 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 dunetrace? When focusing solely on non-code aspects like UI/UX without any need for backend AI agent observation. If you are looking for a platform that supports extensive integrations beyond Python and Node.js, as dunetrace's focus is limited to these environments. For organizations that prefer proprietary solutions over tools under other licenses. ### Is agentops or dunetrace more popular on GitHub? agentops has more GitHub stars (5,830 vs 64). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and dunetrace open source? Yes - both are open-source projects on GitHub (agentops: MIT, dunetrace: Other). ### Where can I find alternatives to agentops or dunetrace? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [dunetrace alternatives](/tools/dunetrace-dunetrace/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [dunetrace markdown twin](/tools/dunetrace-dunetrace/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-dunetrace-dunetrace.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentops or dunetrace? agentops: Steady. dunetrace: 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 dunetrace? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [dunetrace trust report](/tools/dunetrace-dunetrace/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/_