Comparison
eval-view vs qwed-verification
Verdict
Pick eval-view if regression testing for AI agents to detect behavioral changes and output quality regressions over time; pick qwed-verification if qWED-verification employs math and formal methods like Z3, SMT, SymPy to verify AI outputs, creating an auditable trust boundary specifically for agentic AI.
Markdown twin · eval-view alternatives · qwed-verification alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | eval-view | qwed-verification |
|---|---|---|
| Maintenance | Very active (6d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- qwed-verification
- A deterministic verification layer for AI systems
Stars
- eval-view
- 126
- qwed-verification
- 57
Forks
- eval-view
- 21
- qwed-verification
- 11
Open issues
- eval-view
- 3
- qwed-verification
- 26
Language
- eval-view
- Python
- qwed-verification
- Python
Adopt for
- eval-view
- Regression testing for AI agents to detect behavioral changes and output quality regressions over time.
- qwed-verification
- QWED-verification employs math and formal methods like Z3, SMT, SymPy to verify AI outputs, creating an auditable trust boundary specifically for agentic AI.
Persona
- eval-view
- -
- qwed-verification
- -
Runtime
- eval-view
- -
- qwed-verification
- -
License
- eval-view
- The software uses the Apache-2.0 license, offering permissive terms for use and distribution.
- qwed-verification
- Apache-2.0
Last pushed
- eval-view
- Jul 26, 2026
- qwed-verification
- Aug 2, 2026
Categories
- eval-view
- AI Agents, Evaluation & Observability
- qwed-verification
- Evaluation & Observability
Trust and health
Days since push
- eval-view
- 6d
- qwed-verification
- 0d
Open issues (now)
- eval-view
- 3
- qwed-verification
- 26
Owner type
- eval-view
- User
- qwed-verification
- Organization
Full report
- eval-view
- Trust report
- qwed-verification
- Trust report
Shared compatibility
- Python · eval-view: Python runtime · qwed-verification: Python runtime
Choose eval-view if…
- 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, ai-agents, regression-testing.
- Also covers AI Agents.
- 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 qwed-verification if…
- Tags unique to qwed-verification: ai safety, ai-accuracy, ai-security, code-security.
- When deterministic verification is needed for ai output accuracy
- More recently updated (last pushed Aug 2, 2026).
When NOT to use qwed-verification
- If looking to generate content rather than verify outputs
- In scenarios where flexible, non-mathematical verification methods suffice
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 (QWED-AI/qwed-verification) · observed Aug 2, 2026
- GitHub forks (QWED-AI/qwed-verification) · observed Aug 2, 2026
- Last push (QWED-AI/qwed-verification) · observed Aug 2, 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 on cards: eval-view 126 · qwed-verification 57 (synced Aug 2, 2026).
Common questions
- What is the difference between eval-view and qwed-verification?
- eval-view: Regression testing for AI agents. qwed-verification: A deterministic verification layer for AI systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose eval-view over qwed-verification?
- Choose eval-view over qwed-verification when 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, ai-agents, regression-testing; Also covers AI Agents; 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 qwed-verification over eval-view?
- Choose qwed-verification over eval-view when Tags unique to qwed-verification: ai safety, ai-accuracy, ai-security, code-security; When deterministic verification is needed for ai output accuracy; More recently updated (last pushed Aug 2, 2026).
- 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 qwed-verification?
- If looking to generate content rather than verify outputs In scenarios where flexible, non-mathematical verification methods suffice
- Is eval-view or qwed-verification more popular on GitHub?
- eval-view has more GitHub stars (126 vs 57). Stars measure visibility, not whether either tool fits your constraints.
- Are eval-view and qwed-verification open source?
- Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, qwed-verification: Apache-2.0).
- Where can I find alternatives to eval-view or qwed-verification?
- GraphCanon lists graph-backed alternatives at eval-view alternatives and qwed-verification alternatives (eval-view markdown twin, qwed-verification 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 qwed-verification?
- eval-view: Very active. qwed-verification: 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 qwed-verification?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eval-view trust report; qwed-verification trust report.