Home/Compare/eval-view vs ClawBench

Comparison

eval-view vs ClawBench

Verdict

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; pick ClawBench if clawBench offers an open-source benchmark framework for evaluating browser-based AI agents on real-world online tasks.

Markdown twin · eval-view alternatives · ClawBench alternatives

GraphCanon updated Sep 20, 2026

7views this month

eval-view logo

eval-view

hidai25/eval-view

★ 134pushed Sep 5, 2026
vs
ClawBench logo

ClawBench

TIGER-AI-Lab/ClawBench

★ 796pushed Sep 20, 2026

Trust & integrity

Signaleval-viewClawBench
Maintenance
Active (13d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 20, 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 20, 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
ClawBench
Open-source benchmark for browser AI agents on daily tasks

Stars

eval-view
134
ClawBench
796

Forks

eval-view
24
ClawBench
58

Open issues

eval-view
2
ClawBench
46

Language

eval-view
Python
ClawBench
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
ClawBench
ClawBench offers an open-source benchmark framework for evaluating browser-based AI agents on real-world online tasks.

Persona

eval-view
-
ClawBench
-

Runtime

eval-view
-
ClawBench
-

License

eval-view
Apache-2.0
ClawBench
ClawBench operates under the Apache-2.0 license, offering a permissive free software license that encourages software reuse and interoperability.

Last pushed

eval-view
Sep 5, 2026
ClawBench
Sep 20, 2026

Categories

eval-view
AI Agents, Evaluation & Observability
ClawBench
AI Agents, Evaluation & Observability

Trust and health

Maintenance

eval-view
Active (82%)
ClawBench
Very active (96%)

Days since push

eval-view
13d
ClawBench
0d

Open issues (now)

eval-view
2
ClawBench
46

Stars delta

eval-view
+8 (30d)
ClawBench
+264 (30d)

Owner type

eval-view
User
ClawBench
Organization

Full report

eval-view
Trust report
ClawBench
Trust report

Shared compatibility

  • Python · eval-view: Python runtime · ClawBench: Python runtime

Choose eval-view if…

  • Tags unique to eval-view: agent-benchmark, ai-agents, anthropic, autogen.
  • 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 ClawBench if…

  • Requirements: Requires setup for browser automation tasks within the Chrome environment..
  • Tags unique to ClawBench: browser-agent, llm-evaluation, real-world-benchmark, web-agents.
  • You are developing a browser AI agent and wish to measure its performance against everyday online activities, as ClawBench specifically simulates these scenarios.

When NOT to use ClawBench

  • If your focus is solely on backend server-based AI evaluations without a browser interface involvement, ClawBench will not be the appropriate choice.
  • For those developing standalone applications or mobile agents, ClawBench’s browser-centric tasks will not reflect their operational capabilities accurately.

Explore

Sources

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

GitHub stars on cards: eval-view 134 · ClawBench 796 (synced Sep 20, 2026).

Common questions

What is the difference between eval-view and ClawBench?
eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. ClawBench: Open-source benchmark for browser AI agents on daily tasks. See the comparison table for live GitHub stats and shared categories.
When should I choose eval-view over ClawBench?
Choose eval-view over ClawBench when Tags unique to eval-view: agent-benchmark, ai-agents, anthropic, autogen; 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 ClawBench over eval-view?
Choose ClawBench over eval-view when Requirements: Requires setup for browser automation tasks within the Chrome environment.; Tags unique to ClawBench: browser-agent, llm-evaluation, real-world-benchmark, web-agents; You are developing a browser AI agent and wish to measure its performance against everyday online activities, as ClawBench specifically simulates these scenarios.
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 ClawBench?
If your focus is solely on backend server-based AI evaluations without a browser interface involvement, ClawBench will not be the appropriate choice. For those developing standalone applications or mobile agents, ClawBench’s browser-centric tasks will not reflect their operational capabilities accurately.
Is eval-view or ClawBench more popular on GitHub?
ClawBench has more GitHub stars (796 vs 134). Stars measure visibility, not whether either tool fits your constraints.
Are eval-view and ClawBench open source?
Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, ClawBench: Apache-2.0).
Where can I find alternatives to eval-view or ClawBench?
GraphCanon lists graph-backed alternatives at eval-view alternatives and ClawBench alternatives (eval-view markdown twin, ClawBench 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 ClawBench?
eval-view: Active. ClawBench: 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 eval-view and ClawBench?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eval-view trust report; ClawBench trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.