--- title: "eval-view vs agentic-radar" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hidai25-eval-view-vs-splx-ai-agentic-radar" tools: ["hidai25-eval-view", "splx-ai-agentic-radar"] --- # eval-view vs agentic-radar *GraphCanon updated Sep 20, 2026* ## Verdict Pick eval-view when tags unique to eval-view: agent-benchmark, agent-evaluation, ai-agents, anthropic; pick agentic-radar when tags unique to agentic-radar: devsecops, generative-ai, security-tools. [eval-view](https://evalview.com) reports 134 GitHub stars, 24 forks, and 2 open issues, last pushed Sep 5, 2026. [agentic-radar](https://splx.ai) has 1.0k stars, 145 forks, and 15 open issues, last pushed Nov 27, 2025. Figures are from public GitHub metadata via [eval-view's repository](https://github.com/hidai25/eval-view) and [agentic-radar's repository](https://github.com/splx-ai/agentic-radar). | | [eval-view](/tools/hidai25-eval-view.md) | [agentic-radar](/tools/splx-ai-agentic-radar.md) | | --- | --- | --- | | Tagline | Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI | A security scanner for your LLM agentic workflows | | Stars | 134 | 1,046 | | Forks | 24 | 145 | | Open issues | 2 | 15 | | Language | Python | Python | | Adopt for | Eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects regressions through diffing tool and | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [eval-view](/tools/hidai25-eval-view.md) | [agentic-radar](/tools/splx-ai-agentic-radar.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 13d | 284d | | Open issues (now) | 2 | 15 | | Stars delta | +8 (30d) | +21 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/hidai25-eval-view/trust.md) | [trust report](/tools/splx-ai-agentic-radar/trust.md) | ## Shared compatibility - **Python**: [eval-view](/tools/hidai25-eval-view.md) - Python runtime; [agentic-radar](/tools/splx-ai-agentic-radar.md) - Python runtime ## Decision facts: eval-view - **Adopt for:** Eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects regressions through diffing tool and ## Choose when ### Choose eval-view if… - Tags unique to eval-view: agent-benchmark, agent-evaluation, ai-agents, anthropic. - eval-view ships Docker support for self-hosted deployment. - When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic. ### Choose agentic-radar if… - Tags unique to agentic-radar: devsecops, generative-ai, security-tools. - When you need to test for vulnerabilities in generative AI workflows involving LLM frameworks - More GitHub stars (1.0k vs 134) - visibility, not fit. ## When NOT to use eval-view - If you are working exclusively with AI platforms not supported by eval-view, such as those not listed among LangGraph, CrewAI, OpenAI, and Anthropic. - When you do not require regression testing or behavior snapshotting for your AI agents, as eval-view is specifically designed for these purposes. - If you are looking for a tool that does not involve backend API charges for executing your agent, as eval-view does not skip these charges even with the --no-judge flag. - If you need a tool that automatically handles the migration from the OpenAI Assistants API to the Responses API without manual intervention, as eval-view requires following a migration guide for this. ## 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 eval-view and agentic-radar? eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. 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 eval-view over agentic-radar? Choose eval-view over agentic-radar when Tags unique to eval-view: agent-benchmark, agent-evaluation, ai-agents, anthropic; eval-view ships Docker support for self-hosted deployment; When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic. ### When should I choose agentic-radar over eval-view? Choose agentic-radar over eval-view when Tags unique to agentic-radar: devsecops, generative-ai, security-tools; When you need to test for vulnerabilities in generative AI workflows involving LLM frameworks; More GitHub stars (1.0k vs 134) - visibility, not fit. ### When should I avoid eval-view? If you are working exclusively with AI platforms not supported by eval-view, such as those not listed among LangGraph, CrewAI, OpenAI, and Anthropic. When you do not require regression testing or behavior snapshotting for your AI agents, as eval-view is specifically designed for these purposes. If you are looking for a tool that does not involve backend API charges for executing your agent, as eval-view does not skip these charges even with the --no-judge flag. If you need a tool that automatically handles the migration from the OpenAI Assistants API to the Responses API without manual intervention, as eval-view requires following a migration guide for this. ### 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 eval-view or agentic-radar more popular on GitHub? agentic-radar has more GitHub stars (1,046 vs 134). Stars measure visibility, not whether either tool fits your constraints. ### Are eval-view and agentic-radar open source? Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, agentic-radar: Apache-2.0). ### Where can I find alternatives to eval-view or agentic-radar? GraphCanon lists graph-backed alternatives at [eval-view alternatives](/tools/hidai25-eval-view/alternatives) and [agentic-radar alternatives](/tools/splx-ai-agentic-radar/alternatives) ([eval-view markdown twin](/tools/hidai25-eval-view/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/hidai25-eval-view-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, eval-view or agentic-radar? eval-view: Active. 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 eval-view and agentic-radar? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [eval-view trust report](/tools/hidai25-eval-view/trust); [agentic-radar trust report](/tools/splx-ai-agentic-radar/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hidai25-eval-view`](/api/graphcanon/graph?tool=hidai25-eval-view) - 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/_