--- title: "agentops vs agentic-radar" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-splx-ai-agentic-radar" tools: ["agentops-ai-agentops", "splx-ai-agentic-radar"] --- # agentops vs agentic-radar *GraphCanon updated Aug 14, 2026* ## Verdict Pick agentops when license: agentops is MIT, agentic-radar is Apache-2.0; pick agentic-radar when license: agentic-radar is Apache-2.0, agentops is MIT. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 612 forks, and 176 open issues, last pushed Jun 25, 2026. [agentic-radar](https://splx.ai) has 1.0k stars, 141 forks, and 16 open issues, last pushed Nov 27, 2025. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [agentic-radar's repository](https://github.com/splx-ai/agentic-radar). | | [agentops](/tools/agentops-ai-agentops.md) | [agentic-radar](/tools/splx-ai-agentic-radar.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | A security scanner for your LLM agentic workflows | | Stars | 5,771 | 1,025 | | Forks | 612 | 141 | | Open issues | 176 | 16 | | 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. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentops](/tools/agentops-ai-agentops.md) | [agentic-radar](/tools/splx-ai-agentic-radar.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 49d | 253d | | Open issues (now) | 176 | 16 | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/splx-ai-agentic-radar/trust.md) | ## Shared compatibility - **Python**: [agentops](/tools/agentops-ai-agentops.md) - Python runtime; [agentic-radar](/tools/splx-ai-agentic-radar.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. ## Choose when ### Choose agentops if… - License: agentops is MIT, agentic-radar is Apache-2.0. - Tags unique to agentops: ai-agents, benchmarking, cost-tracking. - Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK ### Choose agentic-radar if… - License: agentic-radar is Apache-2.0, agentops is MIT. - Tags unique to agentic-radar: agentic-ai, devsecops, generative-ai, security-tools. - When you need to test for vulnerabilities in generative AI workflows involving LLM frameworks ## 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 agentic-radar - Avoid if the Python version is not within the supported range of >=3.10 and <3.13 especially when using CrewAI features - Do not use if security scanning for LLM agentic workflows is unnecessary for your project needs ## Common questions ### What is the difference between agentops and agentic-radar? agentops: Python SDK for AI agent monitoring and LLM cost tracking. agentic-radar: A security scanner for your LLM agentic workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentops over agentic-radar? Choose agentops over agentic-radar when License: agentops is MIT, agentic-radar is Apache-2.0; Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK. ### When should I choose agentic-radar over agentops? Choose agentic-radar over agentops when License: agentic-radar is Apache-2.0, agentops is MIT; Tags unique to agentic-radar: agentic-ai, devsecops, generative-ai, security-tools; When you need to test for vulnerabilities in generative AI workflows involving LLM frameworks. ### 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 agentic-radar? Avoid if the Python version is not within the supported range of >=3.10 and <3.13 especially when using CrewAI features Do not use if security scanning for LLM agentic workflows is unnecessary for your project needs ### Is agentops or agentic-radar more popular on GitHub? agentops has more GitHub stars (5,771 vs 1,025). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and agentic-radar open source? Yes - both are open-source projects on GitHub (agentops: MIT, agentic-radar: Apache-2.0). ### Where can I find alternatives to agentops or agentic-radar? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [agentic-radar alternatives](/tools/splx-ai-agentic-radar/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [agentic-radar markdown twin](/tools/splx-ai-agentic-radar/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-splx-ai-agentic-radar.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentops or agentic-radar? agentops: Steady. agentic-radar: Slowing. 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 agentic-radar? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [agentic-radar trust report](/tools/splx-ai-agentic-radar/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/_