--- title: "agentops vs heron" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-netis-heron" tools: ["agentops-ai-agentops", "netis-heron"] --- # agentops vs heron *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 heron if an open-source network traffic analysis tool for monitoring the performance of LLMs and AI agents without requiring SDK changes. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 625 forks, and 184 open issues, last pushed Jun 25, 2026. [heron](https://heron-ai.pages.dev) has 101 stars, 10 forks, and 3 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [heron's repository](https://github.com/Netis/heron). | | [agentops](/tools/agentops-ai-agentops.md) | [heron](/tools/netis-heron.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | Performance monitoring tool for LLM APIs and AI agents | | Stars | 5,830 | 101 | | Forks | 625 | 10 | | Open issues | 184 | 3 | | Language | Python | Rust | | Adopt for | AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. | An open-source network traffic analysis tool for monitoring the performance of LLMs and AI agents without requiring SDK changes. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | 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) | [heron](/tools/netis-heron.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 86d | 23d | | Open issues (now) | 184 | 3 | | Stars delta | +59 (30d) | +27 (30d) | | Open issues delta | +8 (30d) | 0 (30d) | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/netis-heron/trust.md) | ## 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: heron - **Adopt for:** An open-source network traffic analysis tool for monitoring the performance of LLMs and AI agents without requiring SDK changes. - **License detail:** Apache-2.0 ## Choose when ### Choose agentops if… - agentops is primarily Python; heron is Rust. - License: agentops is MIT, heron is Apache-2.0. - 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 heron if… - heron is primarily Rust; agentops is Python. - License: heron is Apache-2.0, agentops is MIT. - Tags unique to heron: agentic-ai, ai-agent-development, libpcap, llm-monitoring. - When you need a provider-side solution that does not require altering existing codebases or SDKs to monitor performance metrics. ## 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 heron - When the need is for an in-agent monitoring tool rather than a network packet-based solution, as Heron operates on traffic. - In environments where live capture requires administrative privileges that are not available to the user performing the installation. - For real-time performance insights without prior deployment because Heron involves a setup phase and typically uses pre-collected `.pcap` files. ## Common questions ### What is the difference between agentops and heron? agentops: Python SDK for AI agent monitoring and LLM cost tracking. heron: Performance monitoring tool for LLM APIs and AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentops over heron? Choose agentops over heron when agentops is primarily Python; heron is Rust; License: agentops is MIT, heron is Apache-2.0; 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 heron over agentops? Choose heron over agentops when heron is primarily Rust; agentops is Python; License: heron is Apache-2.0, agentops is MIT; Tags unique to heron: agentic-ai, ai-agent-development, libpcap, llm-monitoring; When you need a provider-side solution that does not require altering existing codebases or SDKs to monitor performance metrics. ### 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 heron? When the need is for an in-agent monitoring tool rather than a network packet-based solution, as Heron operates on traffic. In environments where live capture requires administrative privileges that are not available to the user performing the installation. For real-time performance insights without prior deployment because Heron involves a setup phase and typically uses pre-collected `.pcap` files. ### Is agentops or heron more popular on GitHub? agentops has more GitHub stars (5,830 vs 101). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and heron open source? Yes - both are open-source projects on GitHub (agentops: MIT, heron: Apache-2.0). ### Where can I find alternatives to agentops or heron? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [heron alternatives](/tools/netis-heron/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [heron markdown twin](/tools/netis-heron/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-netis-heron.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentops or heron? agentops: Steady. heron: 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 agentops and heron? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [heron trust report](/tools/netis-heron/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/_