--- title: "agentops vs netdata" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-netdata-netdata" tools: ["agentops-ai-agentops", "netdata-netdata"] --- # agentops vs netdata *GraphCanon updated Aug 25, 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 netdata if netdata is an AI-powered observability tool that integrates with numerous devops tools and databases aiming to help lean teams quickly monitor full stack systems. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 612 forks, and 176 open issues, last pushed Jun 25, 2026. [netdata](https://www.netdata.cloud) has 80k stars, 6.6k forks, and 391 open issues, last pushed Aug 25, 2026. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [netdata's repository](https://github.com/netdata/netdata). | | [agentops](/tools/agentops-ai-agentops.md) | [netdata](/tools/netdata-netdata.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | The fastest path to AI-powered full stack observability for lean teams | | Stars | 5,771 | 80,292 | | Forks | 612 | 6,601 | | Open issues | 176 | 391 | | Language | Python | Go | | Adopt for | AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. | Netdata is an AI-powered observability tool that integrates with numerous devops tools and databases aiming to help lean teams quickly monitor full stack systems. | | Persona | - | - | | Runtime | - | - | | License | MIT | GPL-3.0 | | 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) | [netdata](/tools/netdata-netdata.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 49d | 0d | | Open issues (now) | 176 | 391 | | Stars delta | Unknown | +448 (30d) | | Open issues delta | Unknown | +24 (30d) | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/netdata-netdata/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: netdata - **Requirements:** Requires Docker; Requires Docker for setup and operation as illustrated by its inclusion within the topics covered in the repository's description. - **Adopt for:** Netdata is an AI-powered observability tool that integrates with numerous devops tools and databases aiming to help lean teams quickly monitor full stack systems. ## Choose when ### Choose agentops if… - agentops is primarily Python; netdata is Go. - License: agentops is MIT, netdata is GPL-3.0. - 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 netdata if… - netdata is primarily Go; agentops is Python. - License: netdata is GPL-3.0, agentops is MIT. - Requirements: Requires Docker; Requires Docker for setup and operation as illustrated by its inclusion within the topics covered in the repository's description.. - Tags unique to netdata: ai, alerting, cncf, data-visualization. - netdata ships Docker support for self-hosted deployment. - When leveraging the need for quick, AI-driven observability for a team's entire tech stack including integration with popular databases like PostgreSQL and MongoDB. ## 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 netdata - When the team requires customization options that extend beyond what Netdata’s current integrations offer, such as less mainstream databases or alerting services. - If your environment strictly adheres to commercial licensing models which are incompatible with GPL-3.0 licensed software like Netdata. ## Common questions ### What is the difference between agentops and netdata? agentops: Python SDK for AI agent monitoring and LLM cost tracking. netdata: The fastest path to AI-powered full stack observability for lean teams. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentops over netdata? Choose agentops over netdata when agentops is primarily Python; netdata is Go; License: agentops is MIT, netdata is GPL-3.0; 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 netdata over agentops? Choose netdata over agentops when netdata is primarily Go; agentops is Python; License: netdata is GPL-3.0, agentops is MIT; Requirements: Requires Docker; Requires Docker for setup and operation as illustrated by its inclusion within the topics covered in the repository's description.; Tags unique to netdata: ai, alerting, cncf, data-visualization; netdata ships Docker support for self-hosted deployment; When leveraging the need for quick, AI-driven observability for a team's entire tech stack including integration with popular databases like PostgreSQL and MongoDB. ### 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 netdata? When the team requires customization options that extend beyond what Netdata’s current integrations offer, such as less mainstream databases or alerting services. If your environment strictly adheres to commercial licensing models which are incompatible with GPL-3.0 licensed software like Netdata. ### Is agentops or netdata more popular on GitHub? netdata has more GitHub stars (80,292 vs 5,771). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and netdata open source? Yes - both are open-source projects on GitHub (agentops: MIT, netdata: GPL-3.0). ### Where can I find alternatives to agentops or netdata? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [netdata alternatives](/tools/netdata-netdata/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [netdata markdown twin](/tools/netdata-netdata/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-netdata-netdata.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentops or netdata? agentops: Steady. netdata: Very 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 netdata? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [netdata trust report](/tools/netdata-netdata/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/_