Comparison
eval-view vs agentic-radar
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.
Markdown twin · eval-view alternatives · agentic-radar alternatives
GraphCanon updated Sep 20, 2026
10views this month
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Trust & integrity
| Signal | eval-view | agentic-radar |
|---|---|---|
| Maintenance | Active (13d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (284d since push) As of Sep 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 7, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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
Stars
- eval-view
- 134
- agentic-radar
- 1.0k
Forks
- eval-view
- 24
- agentic-radar
- 145
Open issues
- eval-view
- 2
- agentic-radar
- 15
Language
- eval-view
- Python
- agentic-radar
- Python
Adopt for
- eval-view
- 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
- agentic-radar
- -
Persona
- eval-view
- -
- agentic-radar
- -
Runtime
- eval-view
- -
- agentic-radar
- -
License
- eval-view
- Apache-2.0
- agentic-radar
- Apache-2.0
Last pushed
- eval-view
- Sep 5, 2026
- agentic-radar
- Nov 27, 2025
Categories
- eval-view
- AI Agents, Evaluation & Observability
- agentic-radar
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- eval-view
- Active (82%)
- agentic-radar
- Slowing (36%)
Days since push
- eval-view
- 13d
- agentic-radar
- 284d
Open issues (now)
- eval-view
- 2
- agentic-radar
- 15
Stars delta
- eval-view
- +8 (30d)
- agentic-radar
- +21 (30d)
Owner type
- eval-view
- User
- agentic-radar
- Organization
Full report
- eval-view
- Trust report
- agentic-radar
- Trust report
Shared compatibility
- Python · eval-view: Python runtime · agentic-radar: Python runtime
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.
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.
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (hidai25/eval-view) · observed Sep 20, 2026
- GitHub forks (hidai25/eval-view) · observed Sep 20, 2026
- Last push (hidai25/eval-view) · observed Sep 5, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (splx-ai/agentic-radar) · observed Sep 20, 2026
- GitHub forks (splx-ai/agentic-radar) · observed Sep 20, 2026
- Last push (splx-ai/agentic-radar) · observed Nov 27, 2025
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: eval-view 134 · agentic-radar 1.0k (synced Sep 20, 2026).
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 and agentic-radar alternatives (eval-view markdown twin, agentic-radar markdown twin), 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 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; agentic-radar trust report.