Comparison
FuzzyAI vs eval-view
Verdict
Pick FuzzyAI if fuzzyAI is an automated tool from cyberark for detecting and mitigating jailbreaks in LLM APIs using fuzzing techniques; 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.
Markdown twin · FuzzyAI alternatives · eval-view alternatives
GraphCanon updated Sep 20, 2026
8views this month
Trust & integrity
| Signal | FuzzyAI | eval-view |
|---|---|---|
| Maintenance | Slowing (225d since push) As of Sep 20, 2026 · github_public_v1 | Active (13d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 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
- FuzzyAI
- A tool for automated LLM fuzzing to detect and mitigate jailbreaks
- eval-view
- Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI
Stars
- FuzzyAI
- 1.6k
- eval-view
- 134
Forks
- FuzzyAI
- 217
- eval-view
- 24
Open issues
- FuzzyAI
- 7
- eval-view
- 2
Language
- FuzzyAI
- Jupyter Notebook
- eval-view
- Python
Adopt for
- FuzzyAI
- FuzzyAI is an automated tool from cyberark for detecting and mitigating jailbreaks in LLM APIs using fuzzing techniques.
- 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
- FuzzyAI
- -
- eval-view
- -
Runtime
- FuzzyAI
- -
- eval-view
- -
License
- FuzzyAI
- Apache-2.0
- eval-view
- Apache-2.0
Last pushed
- FuzzyAI
- Feb 6, 2026
- eval-view
- Sep 5, 2026
Categories
- FuzzyAI
- Evaluation & Observability
- eval-view
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- FuzzyAI
- Slowing (36%)
- eval-view
- Active (82%)
Days since push
- FuzzyAI
- 225d
- eval-view
- 13d
Open issues (now)
- FuzzyAI
- 7
- eval-view
- 2
Stars delta
- FuzzyAI
- +33 (30d)
- eval-view
- +8 (30d)
Open issues delta
- FuzzyAI
- +1 (30d)
- eval-view
- -1 (30d)
Owner type
- FuzzyAI
- Organization
- eval-view
- User
Full report
- FuzzyAI
- Trust report
- eval-view
- Trust report
Shared compatibility
- Python · FuzzyAI: Python runtime · eval-view: Python runtime
Choose FuzzyAI if…
- FuzzyAI is primarily Jupyter Notebook; eval-view is Python.
- Tags unique to FuzzyAI: ai, ai-red-team, fuzzing, jailbreak.
- When you need to identify vulnerabilities specifically within the API layer of your large language models (LLMs).
When NOT to use FuzzyAI
- For general application or code-level vulnerability scanning, as it is specialized for LLM APIs.
- In scenarios where manual penetration testing of applications outside the scope of LLMs is required.
Choose eval-view if…
- eval-view is primarily Python; FuzzyAI is Jupyter Notebook.
- Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents.
- Also covers 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (cyberark/FuzzyAI) · observed Sep 20, 2026
- GitHub forks (cyberark/FuzzyAI) · observed Sep 20, 2026
- Last push (cyberark/FuzzyAI) · observed Feb 6, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: FuzzyAI 1.6k · eval-view 134 (synced Sep 20, 2026).
Common questions
- What is the difference between FuzzyAI and eval-view?
- FuzzyAI: A tool for automated LLM fuzzing to detect and mitigate jailbreaks. 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 FuzzyAI over eval-view?
- Choose FuzzyAI over eval-view when FuzzyAI is primarily Jupyter Notebook; eval-view is Python; Tags unique to FuzzyAI: ai, ai-red-team, fuzzing, jailbreak; When you need to identify vulnerabilities specifically within the API layer of your large language models (LLMs).
- When should I choose eval-view over FuzzyAI?
- Choose eval-view over FuzzyAI when eval-view is primarily Python; FuzzyAI is Jupyter Notebook; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents; Also covers 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 avoid FuzzyAI?
- For general application or code-level vulnerability scanning, as it is specialized for LLM APIs. In scenarios where manual penetration testing of applications outside the scope of LLMs is required.
- 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 FuzzyAI or eval-view more popular on GitHub?
- FuzzyAI has more GitHub stars (1,576 vs 134). Stars measure visibility, not whether either tool fits your constraints.
- Are FuzzyAI and eval-view open source?
- Yes - both are open-source projects on GitHub (FuzzyAI: Apache-2.0, eval-view: Apache-2.0).
- Where can I find alternatives to FuzzyAI or eval-view?
- GraphCanon lists graph-backed alternatives at FuzzyAI alternatives and eval-view alternatives (FuzzyAI 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, FuzzyAI or eval-view?
- FuzzyAI: Slowing. 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 FuzzyAI and eval-view?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FuzzyAI trust report; eval-view trust report.