---
title: "agentops vs gpu-telemetry"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-last9-gpu-telemetry"
tools: ["agentops-ai-agentops", "last9-gpu-telemetry"]
---

# agentops vs gpu-telemetry

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; pick gpu-telemetry if gpu-telemetry provides comprehensive GPU observability in Kubernetes and Slurm environments by tying hardware metrics to the workload causing them.

[agentops](https://agentops.ai) reports 5.8k GitHub stars, 625 forks, and 184 open issues, last pushed Jun 25, 2026. [gpu-telemetry](https://last9.io/gpu-observability/) has 66 stars, 8 forks, and 5 open issues, last pushed Aug 2, 2026. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [gpu-telemetry's repository](https://github.com/last9/gpu-telemetry).

| | [agentops](/tools/agentops-ai-agentops.md) | [gpu-telemetry](/tools/last9-gpu-telemetry.md) |
| --- | --- | --- |
| Tagline | Python SDK for AI agent monitoring and LLM cost tracking | GPU Observability with Workload Attribution |
| Stars | 5,830 | 66 |
| Forks | 625 | 8 |
| Open issues | 184 | 5 |
| Language | Python | Python |
| Adopt for | AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. | gpu-telemetry provides comprehensive GPU observability in Kubernetes and Slurm environments by tying hardware metrics to the workload causing them. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | AI Agents, Evaluation & Observability | Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [agentops](/tools/agentops-ai-agentops.md) | [gpu-telemetry](/tools/last9-gpu-telemetry.md) |
| --- | --- | --- |
| Days since push | 86d | 39d |
| Open issues (now) | 184 | 5 |
| Stars delta | +59 (30d) | +9 (30d) |
| Open issues delta | +8 (30d) | 0 (30d) |
| Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/last9-gpu-telemetry/trust.md) |

## Shared compatibility

- **Python**: [agentops](/tools/agentops-ai-agentops.md) - Python runtime; [gpu-telemetry](/tools/last9-gpu-telemetry.md) - Python runtime

## Decision facts: agentops

- **Adopt for:** AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.

## Decision facts: gpu-telemetry

- **Adopt for:** gpu-telemetry provides comprehensive GPU observability in Kubernetes and Slurm environments by tying hardware metrics to the workload causing them.

## Choose when

### Choose agentops if…

- Tags unique to agentops: ai-agents, benchmarking, cost-tracking.
- Also covers AI Agents.
- Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK

### Choose gpu-telemetry if…

- Tags unique to gpu-telemetry: amd, gpu-monitoring, intel-gaudi-base-operator, kubernetes.
- When monitoring NVIDIA, AMD, or Intel Gaudi GPUs in Kubernetes clusters.
- More recently updated (last pushed Aug 2, 2026).

## When NOT to use agentops

- If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI
- In case self-hosting of components is impractical due to resource constraints

## 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.

## Common questions

### What is the difference between agentops and gpu-telemetry?

agentops: Python SDK for AI agent monitoring and LLM cost tracking. gpu-telemetry: GPU Observability with Workload Attribution. See the comparison table for live GitHub stats and shared categories.

### When should I choose agentops over gpu-telemetry?

Choose agentops over gpu-telemetry when Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Also covers AI Agents; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.

### When should I choose gpu-telemetry over agentops?

Choose gpu-telemetry over agentops when Tags unique to gpu-telemetry: amd, gpu-monitoring, intel-gaudi-base-operator, kubernetes; When monitoring NVIDIA, AMD, or Intel Gaudi GPUs in Kubernetes clusters; More recently updated (last pushed Aug 2, 2026).

### When should I avoid agentops?

If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI In case self-hosting of components is impractical due to resource constraints

### 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 agentops or gpu-telemetry more popular on GitHub?

agentops has more GitHub stars (5,830 vs 66). Stars measure visibility, not whether either tool fits your constraints.

### Are agentops and gpu-telemetry open source?

Yes - both are open-source projects on GitHub (agentops: MIT, gpu-telemetry: MIT).

### Where can I find alternatives to agentops or gpu-telemetry?

GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [gpu-telemetry alternatives](/tools/last9-gpu-telemetry/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [gpu-telemetry markdown twin](/tools/last9-gpu-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/agentops-ai-agentops-vs-last9-gpu-telemetry.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, agentops or gpu-telemetry?

agentops: Steady. 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 agentops and gpu-telemetry?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [gpu-telemetry trust report](/tools/last9-gpu-telemetry/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=agentops-ai-agentops`](/api/graphcanon/graph?tool=agentops-ai-agentops)
- 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/_
