Comparison
eval-view vs agentic-vbench
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 agentic-vbench if agenticVBench evaluates AI agents' real-world post-production capabilities with specific task prompts for activities like audio restoration.
Markdown twin · eval-view alternatives · agentic-vbench alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | eval-view | agentic-vbench |
|---|---|---|
| Maintenance | Active (13d since push) As of Sep 18, 2026 · github_public_v1 | Very active (6d since push) As of Sep 9, 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 9, 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 15, 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-vbench
- A benchmark for evaluating AI agents in performing real-world post-production tasks like audio and video editing.
Stars
- eval-view
- 134
- agentic-vbench
- 96
Forks
- eval-view
- 24
- agentic-vbench
- 27
Open issues
- eval-view
- 2
- agentic-vbench
- 37
Language
- eval-view
- Python
- agentic-vbench
- 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-vbench
- AgenticVBench evaluates AI agents' real-world post-production capabilities with specific task prompts for activities like audio restoration.
Persona
- eval-view
- -
- agentic-vbench
- -
Runtime
- eval-view
- -
- agentic-vbench
- -
License
- eval-view
- Apache-2.0
- agentic-vbench
- Apache-2.0
Last pushed
- eval-view
- Sep 5, 2026
- agentic-vbench
- Sep 2, 2026
Categories
- eval-view
- AI Agents, Evaluation & Observability
- agentic-vbench
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- eval-view
- Active (82%)
- agentic-vbench
- Very active (96%)
Days since push
- eval-view
- 13d
- agentic-vbench
- 6d
Open issues (now)
- eval-view
- 2
- agentic-vbench
- 37
Stars delta
- eval-view
- +8 (30d)
- agentic-vbench
- +14 (30d)
Open issues delta
- eval-view
- -1 (30d)
- agentic-vbench
- -20 (30d)
Owner type
- eval-view
- User
- agentic-vbench
- Organization
Full report
- eval-view
- Trust report
- agentic-vbench
- Trust report
Shared compatibility
- Python · eval-view: Python runtime · agentic-vbench: Python runtime
Choose eval-view if…
- Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, 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-vbench if…
- Requirements: Requires Docker; Install via scripts provided in the repository.; Python virtual environment setup for reproducibility..
- Tags unique to agentic-vbench: benchmark, harbor, llm-evaluation, video-editing.
- When you need to benchmark the performance of AI agents in handling specialized tasks such as audio and video editing that require precise restorative actions.
When NOT to use agentic-vbench
- When the focus is on generic performance evaluations rather than on real-world, task-specific benchmarks that assess handling complex post-production scenarios.
- If your budget or timeline cannot accommodate a per-task wall clock time of ~10 minutes and cost ranging from $0.10 to $2 based on agent token usage.
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 (PhiloLabs/agentic-vbench) · observed Sep 20, 2026
- GitHub forks (PhiloLabs/agentic-vbench) · observed Sep 20, 2026
- Last push (PhiloLabs/agentic-vbench) · observed Sep 2, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: eval-view 134 · agentic-vbench 96 (synced Sep 20, 2026).
Common questions
- What is the difference between eval-view and agentic-vbench?
- eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. agentic-vbench: A benchmark for evaluating AI agents in performing real-world post-production tasks like audio and video editing.. See the comparison table for live GitHub stats and shared categories.
- When should I choose eval-view over agentic-vbench?
- Choose eval-view over agentic-vbench when Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, 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-vbench over eval-view?
- Choose agentic-vbench over eval-view when Requirements: Requires Docker; Install via scripts provided in the repository.; Python virtual environment setup for reproducibility.; Tags unique to agentic-vbench: benchmark, harbor, llm-evaluation, video-editing; When you need to benchmark the performance of AI agents in handling specialized tasks such as audio and video editing that require precise restorative 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 agentic-vbench?
- When the focus is on generic performance evaluations rather than on real-world, task-specific benchmarks that assess handling complex post-production scenarios. If your budget or timeline cannot accommodate a per-task wall clock time of ~10 minutes and cost ranging from $0.10 to $2 based on agent token usage.
- Is eval-view or agentic-vbench more popular on GitHub?
- eval-view has more GitHub stars (134 vs 96). Stars measure visibility, not whether either tool fits your constraints.
- Are eval-view and agentic-vbench open source?
- Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, agentic-vbench: Apache-2.0).
- Where can I find alternatives to eval-view or agentic-vbench?
- GraphCanon lists graph-backed alternatives at eval-view alternatives and agentic-vbench alternatives (eval-view markdown twin, agentic-vbench 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-vbench?
- eval-view: Active. agentic-vbench: 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 agentic-vbench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eval-view trust report; agentic-vbench trust report.