--- title: "dunetrace vs scalene" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dunetrace-dunetrace-vs-plasma-umass-scalene" tools: ["dunetrace-dunetrace", "plasma-umass-scalene"] --- # dunetrace vs scalene *GraphCanon updated Aug 9, 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 scalene if scalene is a high-performance CPU, GPU, and memory profiler for Python that uses AI to suggest optimizations. [dunetrace](https://dunetrace.com/) reports 59 GitHub stars, 17 forks, and 21 open issues, last pushed Aug 1, 2026. [scalene](https://github.com/plasma-umass/scalene) has 13k stars, 435 forks, and 151 open issues, last pushed Aug 1, 2026. Figures are from public GitHub metadata via [dunetrace's repository](https://github.com/dunetrace/dunetrace) and [scalene's repository](https://github.com/plasma-umass/scalene). | | [dunetrace](/tools/dunetrace-dunetrace.md) | [scalene](/tools/plasma-umass-scalene.md) | | --- | --- | --- | | Tagline | Real-time monitoring of production AI agents | High-performance CPU, GPU, and memory profiler for Python with AI-powered optimization | | Stars | 59 | 13,485 | | Forks | 17 | 435 | | Open issues | 21 | 151 | | 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. | Scalene is a high-performance CPU, GPU, and memory profiler for Python that uses AI to suggest optimizations. | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dunetrace](/tools/dunetrace-dunetrace.md) | [scalene](/tools/plasma-umass-scalene.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 7d | 2d | | Open issues (now) | 21 | 151 | | Owner type | User | Organization | | Full report | [trust report](/tools/dunetrace-dunetrace/trust.md) | [trust report](/tools/plasma-umass-scalene/trust.md) | ## Shared compatibility - **Python**: [dunetrace](/tools/dunetrace-dunetrace.md) - Python runtime; [scalene](/tools/plasma-umass-scalene.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: scalene - **Adopt for:** Scalene is a high-performance CPU, GPU, and memory profiler for Python that uses AI to suggest optimizations. ## Choose when ### Choose dunetrace if… - License: dunetrace is Other, scalene 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, ai-agents, 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 scalene if… - License: scalene is Apache-2.0, dunetrace is Other. - Tags unique to scalene: cpu-profiling, gpu-programming, memory-allocation, profiler. - When you need precise profiling of both CPU and GPU performance in Python applications ## 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 scalene - If your project does not involve Python, as Scalene is specific to this language - Avoid if your system lacks necessary dependencies like Visual C++ Redistributable on Windows ## Common questions ### What is the difference between dunetrace and scalene? dunetrace: Real-time monitoring of production AI agents. scalene: High-performance CPU, GPU, and memory profiler for Python with AI-powered optimization. See the comparison table for live GitHub stats and shared categories. ### When should I choose dunetrace over scalene? Choose dunetrace over scalene when License: dunetrace is Other, scalene 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, ai-agents, 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 scalene over dunetrace? Choose scalene over dunetrace when License: scalene is Apache-2.0, dunetrace is Other; Tags unique to scalene: cpu-profiling, gpu-programming, memory-allocation, profiler; When you need precise profiling of both CPU and GPU performance in Python applications. ### 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 scalene? If your project does not involve Python, as Scalene is specific to this language Avoid if your system lacks necessary dependencies like Visual C++ Redistributable on Windows ### Is dunetrace or scalene more popular on GitHub? scalene has more GitHub stars (13,485 vs 59). Stars measure visibility, not whether either tool fits your constraints. ### Are dunetrace and scalene open source? Yes - both are open-source projects on GitHub (dunetrace: Other, scalene: Apache-2.0). ### Where can I find alternatives to dunetrace or scalene? GraphCanon lists graph-backed alternatives at [dunetrace alternatives](/tools/dunetrace-dunetrace/alternatives) and [scalene alternatives](/tools/plasma-umass-scalene/alternatives) ([dunetrace markdown twin](/tools/dunetrace-dunetrace/alternatives.md), [scalene markdown twin](/tools/plasma-umass-scalene/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-plasma-umass-scalene.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dunetrace or scalene? dunetrace: Active. scalene: 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 dunetrace and scalene? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dunetrace trust report](/tools/dunetrace-dunetrace/trust); [scalene trust report](/tools/plasma-umass-scalene/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/_