--- title: "dunetrace vs eval-view" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dunetrace-dunetrace-vs-hidai25-eval-view" tools: ["dunetrace-dunetrace", "hidai25-eval-view"] --- # dunetrace vs eval-view *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 eval-view if eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects regressions through diffing tool. [dunetrace](https://dunetrace.com/) reports 64 GitHub stars, 18 forks, and 20 open issues, last pushed Aug 31, 2026. [eval-view](https://evalview.com) has 134 stars, 24 forks, and 2 open issues, last pushed Sep 5, 2026. Figures are from public GitHub metadata via [dunetrace's repository](https://github.com/dunetrace/dunetrace) and [eval-view's repository](https://github.com/hidai25/eval-view). | | [dunetrace](/tools/dunetrace-dunetrace.md) | [eval-view](/tools/hidai25-eval-view.md) | | --- | --- | --- | | Tagline | Real-time monitoring of production AI agents | Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI | | Stars | 64 | 134 | | Forks | 18 | 24 | | Open issues | 20 | 2 | | 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. | Eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects regressions through diffing tool and | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dunetrace](/tools/dunetrace-dunetrace.md) | [eval-view](/tools/hidai25-eval-view.md) | | --- | --- | --- | | Days since push | 10d | 13d | | Open issues (now) | 20 | 2 | | Stars delta | +5 (30d) | +8 (30d) | | Full report | [trust report](/tools/dunetrace-dunetrace/trust.md) | [trust report](/tools/hidai25-eval-view/trust.md) | ## Shared compatibility - **Python**: [dunetrace](/tools/dunetrace-dunetrace.md) - Python runtime; [eval-view](/tools/hidai25-eval-view.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: eval-view - **Adopt for:** Eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects regressions through diffing tool and ## Choose when ### Choose dunetrace if… - License: dunetrace is Other, eval-view is Apache-2.0. - 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. - When you need to monitor the performance of AI agents in real-time, as dunetrace offers insights specific to observability and reliability. ### Choose eval-view if… - License: eval-view is Apache-2.0, dunetrace is Other. - Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, anthropic. - Also covers AI Agents. - When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic. ## 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 eval-view - If you are working exclusively with AI platforms not supported by eval-view, such as those not listed among LangGraph, CrewAI, OpenAI, and Anthropic. - When you do not require regression testing or behavior snapshotting for your AI agents, as eval-view is specifically designed for these purposes. - If you are looking for a tool that does not involve backend API charges for executing your agent, as eval-view does not skip these charges even with the --no-judge flag. - If you need a tool that automatically handles the migration from the OpenAI Assistants API to the Responses API without manual intervention, as eval-view requires following a migration guide for this. ## Common questions ### What is the difference between dunetrace and eval-view? dunetrace: Real-time monitoring of production AI agents. eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. See the comparison table for live GitHub stats and shared categories. ### When should I choose dunetrace over eval-view? Choose dunetrace over eval-view when License: dunetrace is Other, eval-view is Apache-2.0; 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; 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 eval-view over dunetrace? Choose eval-view over dunetrace when License: eval-view is Apache-2.0, dunetrace is Other; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, anthropic; Also covers AI Agents; When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic. ### 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 eval-view? If you are working exclusively with AI platforms not supported by eval-view, such as those not listed among LangGraph, CrewAI, OpenAI, and Anthropic. When you do not require regression testing or behavior snapshotting for your AI agents, as eval-view is specifically designed for these purposes. If you are looking for a tool that does not involve backend API charges for executing your agent, as eval-view does not skip these charges even with the --no-judge flag. If you need a tool that automatically handles the migration from the OpenAI Assistants API to the Responses API without manual intervention, as eval-view requires following a migration guide for this. ### Is dunetrace or eval-view more popular on GitHub? eval-view has more GitHub stars (134 vs 64). Stars measure visibility, not whether either tool fits your constraints. ### Are dunetrace and eval-view open source? Yes - both are open-source projects on GitHub (dunetrace: Other, eval-view: Apache-2.0). ### Where can I find alternatives to dunetrace or eval-view? GraphCanon lists graph-backed alternatives at [dunetrace alternatives](/tools/dunetrace-dunetrace/alternatives) and [eval-view alternatives](/tools/hidai25-eval-view/alternatives) ([dunetrace markdown twin](/tools/dunetrace-dunetrace/alternatives.md), [eval-view markdown twin](/tools/hidai25-eval-view/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-hidai25-eval-view.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dunetrace or eval-view? dunetrace: Active. eval-view: 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 dunetrace and eval-view? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dunetrace trust report](/tools/dunetrace-dunetrace/trust); [eval-view trust report](/tools/hidai25-eval-view/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/_