Comparison
eval-view vs agentflow
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 agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Markdown twin · eval-view alternatives · agentflow alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | eval-view | agentflow |
|---|---|---|
| Maintenance | Active (13d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (1100d since push) As of Aug 16, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 16, 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 11, 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
- agentflow
- Complex LLM Workflows from Simple JSON
Stars
- eval-view
- 134
- agentflow
- 320
Forks
- eval-view
- 24
- agentflow
- 27
Open issues
- eval-view
- 2
- agentflow
- 13
Language
- eval-view
- Python
- agentflow
- 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
- agentflow
- Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Persona
- eval-view
- -
- agentflow
- -
Runtime
- eval-view
- -
- agentflow
- -
License
- eval-view
- Apache-2.0
- agentflow
- MIT
Last pushed
- eval-view
- Sep 5, 2026
- agentflow
- Aug 11, 2023
Categories
- eval-view
- AI Agents, Evaluation & Observability
- agentflow
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- eval-view
- Active (82%)
- agentflow
- Dormant (18%)
Days since push
- eval-view
- 13d
- agentflow
- 1100d
Open issues (now)
- eval-view
- 2
- agentflow
- 13
Stars delta
- eval-view
- +8 (30d)
- agentflow
- -1 (30d)
Open issues delta
- eval-view
- -1 (30d)
- agentflow
- 0 (30d)
Full report
- eval-view
- Trust report
- agentflow
- Trust report
Shared compatibility
- Python · eval-view: Python runtime · agentflow: Python runtime
Choose eval-view if…
- License: eval-view is Apache-2.0, agentflow is MIT.
- Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents.
- Also covers Evaluation & Observability.
- 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 agentflow if…
- License: agentflow is MIT, eval-view is Apache-2.0.
- Tags unique to agentflow: json, large-language-models, python, workflow-management.
- Also covers LLM Frameworks.
- When you need to rapidly prototype LLM workflows with minimal coding via JSON configs
When NOT to use agentflow
- Avoid if requiring advanced customization that goes beyond basic JSON configurations
- Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution
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 (simonmesmith/agentflow) · observed Sep 20, 2026
- GitHub forks (simonmesmith/agentflow) · observed Sep 20, 2026
- Last push (simonmesmith/agentflow) · observed Aug 11, 2023
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: eval-view 134 · agentflow 320 (synced Sep 20, 2026).
Common questions
- What is the difference between eval-view and agentflow?
- eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories.
- When should I choose eval-view over agentflow?
- Choose eval-view over agentflow when License: eval-view is Apache-2.0, agentflow is MIT; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents; Also covers Evaluation & Observability; 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 agentflow over eval-view?
- Choose agentflow over eval-view when License: agentflow is MIT, eval-view is Apache-2.0; Tags unique to agentflow: json, large-language-models, python, workflow-management; Also covers LLM Frameworks; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs.
- 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 agentflow?
- Avoid if requiring advanced customization that goes beyond basic JSON configurations Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution
- Is eval-view or agentflow more popular on GitHub?
- agentflow has more GitHub stars (320 vs 134). Stars measure visibility, not whether either tool fits your constraints.
- Are eval-view and agentflow open source?
- Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, agentflow: MIT).
- Where can I find alternatives to eval-view or agentflow?
- GraphCanon lists graph-backed alternatives at eval-view alternatives and agentflow alternatives (eval-view markdown twin, agentflow 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 agentflow?
- eval-view: Active. agentflow: Dormant. 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 agentflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eval-view trust report; agentflow trust report.