Comparison
agentwatch vs gpu-telemetry
Verdict
Pick agentwatch if agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions; 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 · agentwatch alternatives · gpu-telemetry alternatives
GraphCanon updated Sep 20, 2026
10views this month
Trust & integrity
| Signal | agentwatch | gpu-telemetry |
|---|---|---|
| Maintenance | Dormant (483d since push) As of Sep 10, 2026 · github_public_v1 | Steady (39d since push) As of Sep 11, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 10, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 11, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- agentwatch
- A powerful AI observability framework for monitoring and optimizing AI-driven applications.
- gpu-telemetry
- GPU Observability with Workload Attribution
Stars
- agentwatch
- 125
- gpu-telemetry
- 66
Forks
- agentwatch
- 11
- gpu-telemetry
- 8
Open issues
- agentwatch
- 0
- gpu-telemetry
- 5
Language
- agentwatch
- Python
- gpu-telemetry
- Python
Adopt for
- agentwatch
- Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions.
- gpu-telemetry
- gpu-telemetry provides comprehensive GPU observability in Kubernetes and Slurm environments by tying hardware metrics to the workload causing them.
Persona
- agentwatch
- -
- gpu-telemetry
- -
Runtime
- agentwatch
- -
- gpu-telemetry
- -
License
- agentwatch
- Apache-2.0
- gpu-telemetry
- MIT
Last pushed
- agentwatch
- May 14, 2025
- gpu-telemetry
- Aug 2, 2026
Categories
- agentwatch
- AI Agents, Evaluation & Observability
- gpu-telemetry
- Evaluation & Observability
Trust and health
Maintenance
- agentwatch
- Dormant (18%)
- gpu-telemetry
- Steady (60%)
Days since push
- agentwatch
- 483d
- gpu-telemetry
- 39d
Open issues (now)
- agentwatch
- 0
- gpu-telemetry
- 5
Stars delta
- agentwatch
- +3 (30d)
- gpu-telemetry
- +9 (30d)
Full report
- agentwatch
- Trust report
- gpu-telemetry
- Trust report
Shared compatibility
- Python · agentwatch: Python runtime · gpu-telemetry: Python runtime
Choose agentwatch if…
- License: agentwatch is Apache-2.0, gpu-telemetry is MIT.
- Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large-language-models.
- Also covers AI Agents.
- When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models
When NOT to use agentwatch
- For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations
- When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems
Choose gpu-telemetry if…
- License: gpu-telemetry is MIT, agentwatch is Apache-2.0.
- 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 (cyberark/agentwatch) · observed Sep 20, 2026
- GitHub forks (cyberark/agentwatch) · observed Sep 20, 2026
- Last push (cyberark/agentwatch) · observed May 14, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 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: agentwatch 125 · gpu-telemetry 66 (synced Sep 20, 2026).
Common questions
- What is the difference between agentwatch and gpu-telemetry?
- agentwatch: A powerful AI observability framework for monitoring and optimizing AI-driven applications.. gpu-telemetry: GPU Observability with Workload Attribution. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentwatch over gpu-telemetry?
- Choose agentwatch over gpu-telemetry when License: agentwatch is Apache-2.0, gpu-telemetry is MIT; Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large-language-models; Also covers AI Agents; When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models.
- When should I choose gpu-telemetry over agentwatch?
- Choose gpu-telemetry over agentwatch when License: gpu-telemetry is MIT, agentwatch is Apache-2.0; 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 agentwatch?
- For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems
- 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 agentwatch or gpu-telemetry more popular on GitHub?
- agentwatch has more GitHub stars (125 vs 66). Stars measure visibility, not whether either tool fits your constraints.
- Are agentwatch and gpu-telemetry open source?
- Yes - both are open-source projects on GitHub (agentwatch: Apache-2.0, gpu-telemetry: MIT).
- Where can I find alternatives to agentwatch or gpu-telemetry?
- GraphCanon lists graph-backed alternatives at agentwatch alternatives and gpu-telemetry alternatives (agentwatch 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, agentwatch or gpu-telemetry?
- agentwatch: Dormant. 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 agentwatch and gpu-telemetry?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentwatch trust report; gpu-telemetry trust report.