--- title: "dunetrace vs agentcanvas" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dunetrace-dunetrace-vs-vstorm-co-agentcanvas" tools: ["dunetrace-dunetrace", "vstorm-co-agentcanvas"] --- # dunetrace vs agentcanvas *GraphCanon updated Sep 20, 2026* ## Verdict 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; pick agentcanvas if agentcanvas is for developers and AI practitioners who require detailed visual representations of Pydantic AI agent workflows, including cost breakdowns, extracted from Logfire traces. [dunetrace](https://dunetrace.com/) reports 64 GitHub stars, 18 forks, and 20 open issues, last pushed Aug 31, 2026. [agentcanvas](https://vstorm.co) has 82 stars, 9 forks, and 0 open issues, last pushed Aug 1, 2026. Figures are from public GitHub metadata via [dunetrace's repository](https://github.com/dunetrace/dunetrace) and [agentcanvas's repository](https://github.com/vstorm-co/agentcanvas). | | [dunetrace](/tools/dunetrace-dunetrace.md) | [agentcanvas](/tools/vstorm-co-agentcanvas.md) | | --- | --- | --- | | Tagline | Real-time monitoring of production AI agents | Visualize Pydantic AI agent workflows using Logfire traces | | Stars | 64 | 82 | | Forks | 18 | 9 | | Open issues | 20 | 0 | | Language | Python | Python | | 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. | agentcanvas is for developers and AI practitioners who require detailed visual representations of Pydantic AI agent workflows, including cost breakdowns, extracted from Logfire traces. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dunetrace](/tools/dunetrace-dunetrace.md) | [agentcanvas](/tools/vstorm-co-agentcanvas.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 10d | 40d | | Open issues (now) | 20 | 0 | | Stars delta | +5 (30d) | +3 (30d) | | Open issues delta | -1 (30d) | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/dunetrace-dunetrace/trust.md) | [trust report](/tools/vstorm-co-agentcanvas/trust.md) | ## Shared compatibility - **Python**: [dunetrace](/tools/dunetrace-dunetrace.md) - Python runtime; [agentcanvas](/tools/vstorm-co-agentcanvas.md) - Python runtime ## 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. ## Decision facts: agentcanvas - **Adopt for:** agentcanvas is for developers and AI practitioners who require detailed visual representations of Pydantic AI agent workflows, including cost breakdowns, extracted from Logfire traces. ## Choose when ### Choose dunetrace if… - License: dunetrace is Other, agentcanvas 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. ### Choose agentcanvas if… - License: agentcanvas is MIT, dunetrace is Other. - Tags unique to agentcanvas: agents, genai, llm, logfire. - Also covers AI Agents. - To generate interactive HTML diagrams that provide visibility into the tools, sub-agents, tokens, and costs involved in running a Pydantic AI agent. ## 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. ## When NOT to use agentcanvas - If your AI agents are not built using Pydantic or do not utilize Logfire for tracing, as agentcanvas specifically works with these technologies. - When the level of detail provided in the HTML diagrams is unnecessary or when you lack access to the required Logfire traces and associated tokens. ## Common questions ### What is the difference between dunetrace and agentcanvas? dunetrace: Real-time monitoring of production AI agents. agentcanvas: Visualize Pydantic AI agent workflows using Logfire traces. See the comparison table for live GitHub stats and shared categories. ### When should I choose dunetrace over agentcanvas? Choose dunetrace over agentcanvas when License: dunetrace is Other, agentcanvas 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 choose agentcanvas over dunetrace? Choose agentcanvas over dunetrace when License: agentcanvas is MIT, dunetrace is Other; Tags unique to agentcanvas: agents, genai, llm, logfire; Also covers AI Agents; To generate interactive HTML diagrams that provide visibility into the tools, sub-agents, tokens, and costs involved in running a Pydantic AI agent. ### 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. ### When should I avoid agentcanvas? If your AI agents are not built using Pydantic or do not utilize Logfire for tracing, as agentcanvas specifically works with these technologies. When the level of detail provided in the HTML diagrams is unnecessary or when you lack access to the required Logfire traces and associated tokens. ### Is dunetrace or agentcanvas more popular on GitHub? agentcanvas has more GitHub stars (82 vs 64). Stars measure visibility, not whether either tool fits your constraints. ### Are dunetrace and agentcanvas open source? Yes - both are open-source projects on GitHub (dunetrace: Other, agentcanvas: MIT). ### Where can I find alternatives to dunetrace or agentcanvas? GraphCanon lists graph-backed alternatives at [dunetrace alternatives](/tools/dunetrace-dunetrace/alternatives) and [agentcanvas alternatives](/tools/vstorm-co-agentcanvas/alternatives) ([dunetrace markdown twin](/tools/dunetrace-dunetrace/alternatives.md), [agentcanvas markdown twin](/tools/vstorm-co-agentcanvas/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/dunetrace-dunetrace-vs-vstorm-co-agentcanvas.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dunetrace or agentcanvas? dunetrace: Active. agentcanvas: Steady. 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 dunetrace and agentcanvas? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dunetrace trust report](/tools/dunetrace-dunetrace/trust); [agentcanvas trust report](/tools/vstorm-co-agentcanvas/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dunetrace-dunetrace`](/api/graphcanon/graph?tool=dunetrace-dunetrace) - 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/_