Home/Compare/dunetrace vs eval-view

Comparison

dunetrace vs eval-view

Verdict

Pick dunetrace if dunetrace is a real-time monitoring tool for AI agents in production that provides insights into observability and reliability, primarily targeting Python and Node.js ecosystems; 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.

Markdown twin · dunetrace alternatives · eval-view alternatives

GraphCanon updated Sep 20, 2026

12views this month

dunetrace logo

dunetrace

dunetrace/dunetrace

64pushed Aug 31, 2026
vs
eval-view logo

eval-view

hidai25/eval-view

134pushed Sep 5, 2026

Trust & integrity

Signaldunetraceeval-view
Maintenance
Active (10d since push)
As of Sep 11, 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 11, 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

dunetrace
Real-time monitoring of production AI agents
eval-view
Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI

Stars

dunetrace
64
eval-view
134

Forks

dunetrace
18
eval-view
24

Open issues

dunetrace
20
eval-view
2

Language

dunetrace
Python
eval-view
Python

Adopt for

dunetrace
dunetrace is a real-time monitoring tool for AI agents in production that provides insights into observability and reliability, primarily targeting Python and Node.js ecosystems.
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

dunetrace
-
eval-view
-

Runtime

dunetrace
-
eval-view
-

License

dunetrace
Other
eval-view
Apache-2.0

Last pushed

dunetrace
Aug 31, 2026
eval-view
Sep 5, 2026

Categories

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

Trust and health

Days since push

dunetrace
10d
eval-view
13d

Open issues (now)

dunetrace
20
eval-view
2

Stars delta

dunetrace
+5 (30d)
eval-view
+8 (30d)

OSV dependency advisories

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

Full report

dunetrace
Trust report
eval-view
Trust report

Shared compatibility

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

Choose dunetrace if…

  • License: dunetrace is Other, eval-view is Apache-2.0.
  • Pricing: The repository does not specify any pricing information; it only mentions a license which is categorized as 'other'..
  • Requirements: Requires Docker.
  • Tags unique to dunetrace: agent-monitoring, agent-observability, real-time-monitoring.
  • When you need to monitor the performance of AI agents in real-time, as dunetrace offers insights specific to observability and reliability.

When NOT to use dunetrace

  • When focusing solely on non-code aspects like UI/UX without any need for backend AI agent observation.
  • If you are looking for a platform that supports extensive integrations beyond Python and Node.js, as dunetrace's focus is limited to these environments.
  • For organizations that prefer proprietary solutions over tools under other licenses.

Choose eval-view if…

  • License: eval-view is Apache-2.0, dunetrace is Other.
  • Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, anthropic.
  • Also covers AI Agents.
  • 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: dunetrace 64 · eval-view 134 (synced Sep 20, 2026).

Common questions

What is the difference between dunetrace and eval-view?
dunetrace: Real-time monitoring of production AI agents. 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 dunetrace over eval-view?
Choose dunetrace over eval-view when License: dunetrace is Other, eval-view is Apache-2.0; Pricing: The repository does not specify any pricing information; it only mentions a license which is categorized as 'other'.; Requirements: Requires Docker; Tags unique to dunetrace: agent-monitoring, agent-observability, real-time-monitoring; When you need to monitor the performance of AI agents in real-time, as dunetrace offers insights specific to observability and reliability.
When should I choose eval-view over dunetrace?
Choose eval-view over dunetrace when License: eval-view is Apache-2.0, dunetrace is Other; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, anthropic; Also covers AI Agents; 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 dunetrace?
When focusing solely on non-code aspects like UI/UX without any need for backend AI agent observation. If you are looking for a platform that supports extensive integrations beyond Python and Node.js, as dunetrace's focus is limited to these environments. For organizations that prefer proprietary solutions over tools under other licenses.
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 dunetrace or eval-view more popular on GitHub?
eval-view has more GitHub stars (134 vs 64). Stars measure visibility, not whether either tool fits your constraints.
Are dunetrace and eval-view open source?
Yes - both are open-source projects on GitHub (dunetrace: Other, eval-view: Apache-2.0).
Where can I find alternatives to dunetrace or eval-view?
GraphCanon lists graph-backed alternatives at dunetrace alternatives and eval-view alternatives (dunetrace 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, dunetrace or eval-view?
dunetrace: Active. 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 dunetrace and eval-view?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dunetrace trust report; eval-view trust report.

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