Comparison
dunetrace vs gpu-telemetry
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 gpu-telemetry if gpu-telemetry provides comprehensive GPU observability in Kubernetes and Slurm environments by tying hardware metrics to the workload causing them.
Markdown twin · dunetrace alternatives · gpu-telemetry alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | dunetrace | gpu-telemetry |
|---|---|---|
| Maintenance | Active (10d since push) As of Sep 11, 2026 · github_public_v1 | Steady (39d since push) As of Sep 11, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 11, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 11, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- dunetrace
- Real-time monitoring of production AI agents
- gpu-telemetry
- GPU Observability with Workload Attribution
Stars
- dunetrace
- 64
- gpu-telemetry
- 66
Forks
- dunetrace
- 18
- gpu-telemetry
- 8
Open issues
- dunetrace
- 20
- gpu-telemetry
- 5
Language
- dunetrace
- Python
- gpu-telemetry
- Python
Adopt for
- dunetrace
- 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.
- gpu-telemetry
- gpu-telemetry provides comprehensive GPU observability in Kubernetes and Slurm environments by tying hardware metrics to the workload causing them.
Persona
- dunetrace
- -
- gpu-telemetry
- -
Runtime
- dunetrace
- -
- gpu-telemetry
- -
License
- dunetrace
- Other
- gpu-telemetry
- MIT
Last pushed
- dunetrace
- Aug 31, 2026
- gpu-telemetry
- Aug 2, 2026
Categories
- dunetrace
- Evaluation & Observability
- gpu-telemetry
- Evaluation & Observability
Trust and health
Maintenance
- dunetrace
- Active (82%)
- gpu-telemetry
- Steady (60%)
Days since push
- dunetrace
- 10d
- gpu-telemetry
- 39d
Open issues (now)
- dunetrace
- 20
- gpu-telemetry
- 5
Stars delta
- dunetrace
- +5 (30d)
- gpu-telemetry
- +9 (30d)
Open issues delta
- dunetrace
- -1 (30d)
- gpu-telemetry
- 0 (30d)
Owner type
- dunetrace
- User
- gpu-telemetry
- Organization
OSV dependency advisories
- dunetrace
- Published findings
- gpu-telemetry
- No lockfile (source not queried)
Full report
- dunetrace
- Trust report
- gpu-telemetry
- Trust report
Shared compatibility
- Python · dunetrace: Python runtime · gpu-telemetry: Python runtime
Choose dunetrace if…
- License: dunetrace is Other, gpu-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 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.
Choose gpu-telemetry if…
- License: gpu-telemetry is MIT, dunetrace is Other.
- Tags unique to gpu-telemetry: amd, gpu-monitoring, intel-gaudi-base-operator, kubernetes.
- When monitoring NVIDIA, AMD, or Intel Gaudi GPUs in Kubernetes clusters.
When NOT to use gpu-telemetry
- If your infrastructure is not based on Kubernetes or Slurm.
- When you prefer tools that do not require per-node OTLP agents.
- For environments without support for NVIDIA, AMD, or Intel Gaudi GPUs.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dunetrace/dunetrace) · observed Sep 20, 2026
- GitHub forks (dunetrace/dunetrace) · observed Sep 20, 2026
- Last push (dunetrace/dunetrace) · observed Aug 31, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (last9/gpu-telemetry) · observed Sep 20, 2026
- GitHub forks (last9/gpu-telemetry) · observed Sep 20, 2026
- Last push (last9/gpu-telemetry) · observed Aug 2, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: dunetrace 64 · gpu-telemetry 66 (synced Sep 20, 2026).
Common questions
- What is the difference between dunetrace and gpu-telemetry?
- dunetrace: Real-time monitoring of production AI agents. gpu-telemetry: GPU Observability with Workload Attribution. See the comparison table for live GitHub stats and shared categories.
- When should I choose dunetrace over gpu-telemetry?
- Choose dunetrace over gpu-telemetry when License: dunetrace is Other, gpu-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 gpu-telemetry over dunetrace?
- Choose gpu-telemetry over dunetrace when License: gpu-telemetry is MIT, dunetrace is Other; Tags unique to gpu-telemetry: amd, gpu-monitoring, intel-gaudi-base-operator, kubernetes; When monitoring NVIDIA, AMD, or Intel Gaudi GPUs in Kubernetes clusters.
- 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 gpu-telemetry?
- If your infrastructure is not based on Kubernetes or Slurm. When you prefer tools that do not require per-node OTLP agents. For environments without support for NVIDIA, AMD, or Intel Gaudi GPUs.
- Is dunetrace or gpu-telemetry more popular on GitHub?
- gpu-telemetry has more GitHub stars (66 vs 64). Stars measure visibility, not whether either tool fits your constraints.
- Are dunetrace and gpu-telemetry open source?
- Yes - both are open-source projects on GitHub (dunetrace: Other, gpu-telemetry: MIT).
- Where can I find alternatives to dunetrace or gpu-telemetry?
- GraphCanon lists graph-backed alternatives at dunetrace alternatives and gpu-telemetry alternatives (dunetrace markdown twin, gpu-telemetry markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, dunetrace or gpu-telemetry?
- dunetrace: Active. gpu-telemetry: 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 gpu-telemetry?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dunetrace trust report; gpu-telemetry trust report.