Comparison
eval-view vs humanbound
Verdict
Pick eval-view if regression testing for AI agents to detect behavioral changes and output quality regressions over time; pick humanbound if humanbound is an adversarial testing engine and SDK in Python designed specifically for evaluating the robustness of AI agents against various security threats.
Markdown twin · eval-view alternatives · humanbound alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | eval-view | humanbound |
|---|---|---|
| Maintenance | Very active (6d since push) As of 3w · github_public_v1 | Very active (3d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- humanbound
- Adversarial Testing Engine and SDK for AI Agents
Stars
- eval-view
- 126
- humanbound
- 118
Forks
- eval-view
- 21
- humanbound
- 13
Open issues
- eval-view
- 3
- humanbound
- 10
Language
- eval-view
- Python
- humanbound
- Python
Adopt for
- eval-view
- Regression testing for AI agents to detect behavioral changes and output quality regressions over time.
- humanbound
- humanbound is an adversarial testing engine and SDK in Python designed specifically for evaluating the robustness of AI agents against various security threats.
Persona
- eval-view
- -
- humanbound
- -
Runtime
- eval-view
- -
- humanbound
- -
License
- eval-view
- The software uses the Apache-2.0 license, offering permissive terms for use and distribution.
- humanbound
- Other
Last pushed
- eval-view
- Jul 26, 2026
- humanbound
- Aug 6, 2026
Categories
- eval-view
- AI Agents, Evaluation & Observability
- humanbound
- AI Agents, Evaluation & Observability
Trust and health
Days since push
- eval-view
- 6d
- humanbound
- 3d
Open issues (now)
- eval-view
- 3
- humanbound
- 10
Owner type
- eval-view
- User
- humanbound
- Organization
Full report
- eval-view
- Trust report
- humanbound
- Trust report
Shared compatibility
- Python · eval-view: Python runtime · humanbound: Python runtime
Choose eval-view if…
- License: eval-view is Apache-2.0, humanbound is Other.
- Pricing: Free to use under the terms of the Apache License, Version 2.0..
- Requirements: Python environment is required for installation and usage.; Installation with pip: `pip install evalview`; Offline support means no live API keys necessary for the basic diff functionality..
- Tags unique to eval-view: agent-benchmark, agent-evaluation, regression-testing.
- eval-view ships Docker support for self-hosted deployment.
- When you need to track and assess the behavior consistency of your AI agent across versions without involving live API calls.
When NOT to use eval-view
- If you do not need to monitor specific behavioral characteristics such as tool call sequences and parameter consistency over time.
- When real-time output quality evaluation is critical, as eval-view's offline diffing does not provide immediate feedback on output changes without an LLM judge.
Choose humanbound if…
- License: humanbound is Other, eval-view is Apache-2.0.
- Tags unique to humanbound: adversarial-testing, agentic-ai, llm security, multimodal-ai.
- When you need to test your AI agent's resilience against prompt injection attacks, utilize humanbound’s specialized features tailored for this purpose
When NOT to use humanbound
- Avoid using humanbound if your project does not involve AI agents or is not concerned about adversarial robustness since the tool's functionality might be overly specific
- Do not use humanbound in environments where an open-source solution is restricted, particularly considering its licensing and trademark policies
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 Aug 2, 2026
- GitHub forks (hidai25/eval-view) · observed Aug 2, 2026
- Last push (hidai25/eval-view) · observed Jul 26, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (humanbound/humanbound) · observed Aug 9, 2026
- GitHub forks (humanbound/humanbound) · observed Aug 9, 2026
- Last push (humanbound/humanbound) · observed Aug 6, 2026
- License file (Other) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: eval-view 126 · humanbound 118 (synced Aug 2, 2026).
Common questions
- What is the difference between eval-view and humanbound?
- eval-view: Regression testing for AI agents. humanbound: Adversarial Testing Engine and SDK for AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose eval-view over humanbound?
- Choose eval-view over humanbound when License: eval-view is Apache-2.0, humanbound is Other; Pricing: Free to use under the terms of the Apache License, Version 2.0.; Requirements: Python environment is required for installation and usage.; Installation with pip:
pip install evalview; Offline support means no live API keys necessary for the basic diff functionality.; Tags unique to eval-view: agent-benchmark, agent-evaluation, regression-testing; eval-view ships Docker support for self-hosted deployment; When you need to track and assess the behavior consistency of your AI agent across versions without involving live API calls. - When should I choose humanbound over eval-view?
- Choose humanbound over eval-view when License: humanbound is Other, eval-view is Apache-2.0; Tags unique to humanbound: adversarial-testing, agentic-ai, llm security, multimodal-ai; When you need to test your AI agent's resilience against prompt injection attacks, utilize humanbound’s specialized features tailored for this purpose.
- When should I avoid eval-view?
- If you do not need to monitor specific behavioral characteristics such as tool call sequences and parameter consistency over time. When real-time output quality evaluation is critical, as eval-view's offline diffing does not provide immediate feedback on output changes without an LLM judge.
- When should I avoid humanbound?
- Avoid using humanbound if your project does not involve AI agents or is not concerned about adversarial robustness since the tool's functionality might be overly specific Do not use humanbound in environments where an open-source solution is restricted, particularly considering its licensing and trademark policies
- Is eval-view or humanbound more popular on GitHub?
- eval-view has more GitHub stars (126 vs 118). Stars measure visibility, not whether either tool fits your constraints.
- Are eval-view and humanbound open source?
- Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, humanbound: Other).
- Where can I find alternatives to eval-view or humanbound?
- GraphCanon lists graph-backed alternatives at eval-view alternatives and humanbound alternatives (eval-view markdown twin, humanbound 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 humanbound?
- eval-view: Very active. humanbound: 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 humanbound?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eval-view trust report; humanbound trust report.