--- title: "dunetrace vs myscale-telemetry" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dunetrace-dunetrace-vs-myscale-myscale-telemetry" tools: ["dunetrace-dunetrace", "myscale-myscale-telemetry"] --- # dunetrace vs myscale-telemetry *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 myscale-telemetry if myScale Telemetry offers open-source observability specifically for LLM applications in Python, requiring additional tools like Grafana and ClickHouse. [dunetrace](https://dunetrace.com/) reports 64 GitHub stars, 18 forks, and 20 open issues, last pushed Aug 31, 2026. [myscale-telemetry](https://pypi.org/project/myscale-telemetry/) has 55 stars, 7 forks, and 4 open issues, last pushed Jan 2, 2025. Figures are from public GitHub metadata via [dunetrace's repository](https://github.com/dunetrace/dunetrace) and [myscale-telemetry's repository](https://github.com/myscale/myscale-telemetry). | | [dunetrace](/tools/dunetrace-dunetrace.md) | [myscale-telemetry](/tools/myscale-myscale-telemetry.md) | | --- | --- | --- | | Tagline | Real-time monitoring of production AI agents | Open-source observability for your LLM application | | Stars | 64 | 55 | | Forks | 18 | 7 | | Open issues | 20 | 4 | | 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. | MyScale Telemetry offers open-source observability specifically for LLM applications in Python, requiring additional tools like Grafana and ClickHouse. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dunetrace](/tools/dunetrace-dunetrace.md) | [myscale-telemetry](/tools/myscale-myscale-telemetry.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 10d | 616d | | Open issues (now) | 20 | 4 | | Stars delta | +5 (30d) | 0 (30d) | | Open issues delta | -1 (30d) | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/dunetrace-dunetrace/trust.md) | [trust report](/tools/myscale-myscale-telemetry/trust.md) | ## Shared compatibility - **Python**: [dunetrace](/tools/dunetrace-dunetrace.md) - Python runtime; [myscale-telemetry](/tools/myscale-myscale-telemetry.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: myscale-telemetry - **Adopt for:** MyScale Telemetry offers open-source observability specifically for LLM applications in Python, requiring additional tools like Grafana and ClickHouse. ## Choose when ### Choose dunetrace if… - License: dunetrace is Other, myscale-telemetry 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, 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 myscale-telemetry if… - License: myscale-telemetry is MIT, dunetrace is Other. - Tags unique to myscale-telemetry: callback, langchain, llm-observability, monitoring. - - You need to monitor the performance of your large language model (LLM) application and have it integrated with Grafana and ClickHouse data source. ## 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 myscale-telemetry - - If you do not have the necessary infrastructure for Grafana and the ClickHouse data source, making it difficult to integrate MyScale Telemetry into your workflow. - - You are looking for a solution without specific database dependencies; MyScale Telemetry requires a compatible database instance such as MyScaleDB or ClickHouse. ## Common questions ### What is the difference between dunetrace and myscale-telemetry? dunetrace: Real-time monitoring of production AI agents. myscale-telemetry: Open-source observability for your LLM application. See the comparison table for live GitHub stats and shared categories. ### When should I choose dunetrace over myscale-telemetry? Choose dunetrace over myscale-telemetry when License: dunetrace is Other, myscale-telemetry 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, 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 myscale-telemetry over dunetrace? Choose myscale-telemetry over dunetrace when License: myscale-telemetry is MIT, dunetrace is Other; Tags unique to myscale-telemetry: callback, langchain, llm-observability, monitoring; - You need to monitor the performance of your large language model (LLM) application and have it integrated with Grafana and ClickHouse data source. ### 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 myscale-telemetry? - If you do not have the necessary infrastructure for Grafana and the ClickHouse data source, making it difficult to integrate MyScale Telemetry into your workflow. - You are looking for a solution without specific database dependencies; MyScale Telemetry requires a compatible database instance such as MyScaleDB or ClickHouse. ### Is dunetrace or myscale-telemetry more popular on GitHub? dunetrace has more GitHub stars (64 vs 55). Stars measure visibility, not whether either tool fits your constraints. ### Are dunetrace and myscale-telemetry open source? Yes - both are open-source projects on GitHub (dunetrace: Other, myscale-telemetry: MIT). ### Where can I find alternatives to dunetrace or myscale-telemetry? GraphCanon lists graph-backed alternatives at [dunetrace alternatives](/tools/dunetrace-dunetrace/alternatives) and [myscale-telemetry alternatives](/tools/myscale-myscale-telemetry/alternatives) ([dunetrace markdown twin](/tools/dunetrace-dunetrace/alternatives.md), [myscale-telemetry markdown twin](/tools/myscale-myscale-telemetry/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-myscale-myscale-telemetry.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dunetrace or myscale-telemetry? dunetrace: Active. myscale-telemetry: Dormant. 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 myscale-telemetry? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dunetrace trust report](/tools/dunetrace-dunetrace/trust); [myscale-telemetry trust report](/tools/myscale-myscale-telemetry/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/_