Home/Compare/AgentGuard vs eval-view

Comparison

AgentGuard vs eval-view

Verdict

Pick AgentGuard if agentGuard is a budget-conscious observer for real-time token spending by AI agents and LLMs, integrating with major providers like OpenAI and Anthropic; pick eval-view if 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.

Markdown twin · AgentGuard alternatives · eval-view alternatives

GraphCanon updated Sep 20, 2026

AgentGuard logo

AgentGuard

dipampaul17/AgentGuard

173pushed Jul 31, 2025
vs
eval-view logo

eval-view

hidai25/eval-view

134pushed Sep 5, 2026

Trust & integrity

SignalAgentGuardeval-view
Maintenance
Dormant (407d since push)
As of Sep 12, 2026 · github_public_v1
Active (13d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 12, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 15, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 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

AgentGuard
Real-time guardrail that monitors token spend and manages LLM/agent loops in real time
eval-view
Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI

Stars

AgentGuard
173
eval-view
134

Forks

AgentGuard
11
eval-view
24

Open issues

AgentGuard
2
eval-view
2

Language

AgentGuard
JavaScript
eval-view
Python

Adopt for

AgentGuard
AgentGuard is a budget-conscious observer for real-time token spending by AI agents and LLMs, integrating with major providers like OpenAI and Anthropic.
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

Persona

AgentGuard
-
eval-view
-

Runtime

AgentGuard
-
eval-view
-

License

AgentGuard
MIT
eval-view
Apache-2.0

Last pushed

AgentGuard
Jul 31, 2025
eval-view
Sep 5, 2026

Categories

AgentGuard
Evaluation & Observability, Inference & Serving
eval-view
AI Agents, Evaluation & Observability

Trust and health

Maintenance

AgentGuard
Dormant (18%)
eval-view
Active (82%)

Days since push

AgentGuard
407d
eval-view
13d

Stars delta

AgentGuard
+2 (30d)
eval-view
+8 (30d)

Open issues delta

AgentGuard
+1 (30d)
eval-view
-1 (30d)

OSV dependency advisories

AgentGuard
Published findings
eval-view
No lockfile (source not queried)

Full report

AgentGuard
Trust report
eval-view
Trust report

Choose AgentGuard if…

  • AgentGuard is primarily JavaScript; eval-view is Python.
  • License: AgentGuard is MIT, eval-view is Apache-2.0.
  • Tags unique to AgentGuard: cost-monitoring, observability.
  • Also covers Inference & Serving.
  • When you need precise control over spend and want live updates on token prices

When NOT to use AgentGuard

  • If you prioritize a different language for your project and cannot use JavaScript
  • In cases requiring more elaborate fallback mechanisms than what AgentGuard offers

Choose eval-view if…

  • eval-view is primarily Python; AgentGuard is JavaScript.
  • License: eval-view is Apache-2.0, AgentGuard is MIT.
  • Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, autogen.
  • Also covers AI Agents.
  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: AgentGuard 173 · eval-view 134 (synced Sep 20, 2026).

Common questions

What is the difference between AgentGuard and eval-view?
AgentGuard: Real-time guardrail that monitors token spend and manages LLM/agent loops in real time. eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. See the comparison table for live GitHub stats and shared categories.
When should I choose AgentGuard over eval-view?
Choose AgentGuard over eval-view when AgentGuard is primarily JavaScript; eval-view is Python; License: AgentGuard is MIT, eval-view is Apache-2.0; Tags unique to AgentGuard: cost-monitoring, observability; Also covers Inference & Serving; When you need precise control over spend and want live updates on token prices.
When should I choose eval-view over AgentGuard?
Choose eval-view over AgentGuard when eval-view is primarily Python; AgentGuard is JavaScript; License: eval-view is Apache-2.0, AgentGuard is MIT; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, autogen; Also covers AI Agents; 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 avoid AgentGuard?
If you prioritize a different language for your project and cannot use JavaScript In cases requiring more elaborate fallback mechanisms than what AgentGuard offers
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.
Is AgentGuard or eval-view more popular on GitHub?
AgentGuard has more GitHub stars (173 vs 134). Stars measure visibility, not whether either tool fits your constraints.
Are AgentGuard and eval-view open source?
Yes - both are open-source projects on GitHub (AgentGuard: MIT, eval-view: Apache-2.0).
Where can I find alternatives to AgentGuard or eval-view?
GraphCanon lists graph-backed alternatives at AgentGuard alternatives and eval-view alternatives (AgentGuard markdown twin, eval-view 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, AgentGuard or eval-view?
AgentGuard: Dormant. eval-view: 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 AgentGuard and eval-view?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AgentGuard trust report; eval-view trust report.

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