Home/Compare/eval-view vs WeaveBench

Comparison

eval-view vs WeaveBench

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 WeaveBench if weaveBench is designed for evaluating computer-use agents that integrate both GUI and CLI interactions in real-world scenarios across various work domains.

Markdown twin · eval-view alternatives · WeaveBench alternatives

GraphCanon updated Sep 20, 2026

5views this month

eval-view logo

eval-view

hidai25/eval-view

★ 134pushed Sep 5, 2026
vs
WeaveBench logo

WeaveBench

weavebench/WeaveBench

★ 167pushed Aug 22, 2026

Trust & integrity

Signaleval-viewWeaveBench
Maintenance
Active (13d since push)
As of Sep 18, 2026 · github_public_v1
Active (28d 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
Published findings
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
WeaveBench
A Long-Horizon Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces

Stars

eval-view
134
WeaveBench
167

Forks

eval-view
24
WeaveBench
4

Open issues

eval-view
2
WeaveBench
5

Language

eval-view
Python
WeaveBench
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
WeaveBench
WeaveBench is designed for evaluating computer-use agents that integrate both GUI and CLI interactions in real-world scenarios across various work domains.

Persona

eval-view
-
WeaveBench
-

Runtime

eval-view
-
WeaveBench
-

License

eval-view
Apache-2.0
WeaveBench
MIT

Last pushed

eval-view
Sep 5, 2026
WeaveBench
Aug 22, 2026

Categories

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

Trust and health

Days since push

eval-view
13d
WeaveBench
28d

Open issues (now)

eval-view
2
WeaveBench
5

Stars delta

eval-view
+8 (30d)
WeaveBench
+10 (30d)

Open issues delta

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

Owner type

eval-view
User
WeaveBench
Organization

OSV dependency advisories

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

Full report

eval-view
Trust report
WeaveBench
Trust report

Choose eval-view if…

  • License: eval-view is Apache-2.0, WeaveBench is MIT.
  • Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, 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.

Choose WeaveBench if…

  • License: WeaveBench is MIT, eval-view is Apache-2.0.
  • Tags unique to WeaveBench: agent-as-judge, benchmark, computer-use-agent, gui-agent.
  • Use WeaveBench if you need to assess agents capable of handling tasks that require intermingling graphical user interface operations with command-line or code-based actions.

When NOT to use WeaveBench

  • Avoid WeaveBench if your testing needs do not involve scenarios that require the integration of both GUI and CLI operations.
  • Do not use it when you are specifically interested only in benchmarking agents designed for single-channel tasks, either strictly CLI-based or purely graphical interface-driven.

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 · WeaveBench 167 (synced Sep 20, 2026).

Common questions

What is the difference between eval-view and WeaveBench?
eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. WeaveBench: A Long-Horizon Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces. See the comparison table for live GitHub stats and shared categories.
When should I choose eval-view over WeaveBench?
Choose eval-view over WeaveBench when License: eval-view is Apache-2.0, WeaveBench is MIT; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, 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 choose WeaveBench over eval-view?
Choose WeaveBench over eval-view when License: WeaveBench is MIT, eval-view is Apache-2.0; Tags unique to WeaveBench: agent-as-judge, benchmark, computer-use-agent, gui-agent; Use WeaveBench if you need to assess agents capable of handling tasks that require intermingling graphical user interface operations with command-line or code-based actions.
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 WeaveBench?
Avoid WeaveBench if your testing needs do not involve scenarios that require the integration of both GUI and CLI operations. Do not use it when you are specifically interested only in benchmarking agents designed for single-channel tasks, either strictly CLI-based or purely graphical interface-driven.
Is eval-view or WeaveBench more popular on GitHub?
WeaveBench has more GitHub stars (167 vs 134). Stars measure visibility, not whether either tool fits your constraints.
Are eval-view and WeaveBench open source?
Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, WeaveBench: MIT).
Where can I find alternatives to eval-view or WeaveBench?
GraphCanon lists graph-backed alternatives at eval-view alternatives and WeaveBench alternatives (eval-view markdown twin, WeaveBench 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 WeaveBench?
eval-view: Active. WeaveBench: 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 WeaveBench?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eval-view trust report; WeaveBench trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.