Comparison
eval-view vs Kiln
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 Kiln if kiln is a versatile AI systems development toolkit that excels in comprehensive evaluation frameworks for agents, RAG components, and fine-tuning processes.
Markdown twin · eval-view alternatives · Kiln alternatives
GraphCanon updated Sep 20, 2026
7views this month
Trust & integrity
| Signal | eval-view | Kiln |
|---|---|---|
| Maintenance | Active (13d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 19, 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 19, 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
- Kiln
- Build, Evaluate, and Optimize AI Systems
Stars
- eval-view
- 134
- Kiln
- 5.1k
Forks
- eval-view
- 24
- Kiln
- 380
Open issues
- eval-view
- 2
- Kiln
- 72
Language
- eval-view
- Python
- Kiln
- 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
- Kiln
- Kiln is a versatile AI systems development toolkit that excels in comprehensive evaluation frameworks for agents, RAG components, and fine-tuning processes.
Persona
- eval-view
- -
- Kiln
- -
Runtime
- eval-view
- -
- Kiln
- -
License
- eval-view
- Apache-2.0
- Kiln
- Other
Last pushed
- eval-view
- Sep 5, 2026
- Kiln
- Sep 19, 2026
Categories
- eval-view
- AI Agents, Evaluation & Observability
- Kiln
- AI Agents, Data & Retrieval, Evaluation & Observability, Model Training
Trust and health
Maintenance
- eval-view
- Active (82%)
- Kiln
- Very active (96%)
Days since push
- eval-view
- 13d
- Kiln
- 0d
Open issues (now)
- eval-view
- 2
- Kiln
- 72
Stars delta
- eval-view
- +8 (30d)
- Kiln
- +105 (30d)
Open issues delta
- eval-view
- -1 (30d)
- Kiln
- +6 (30d)
Owner type
- eval-view
- User
- Kiln
- Organization
Full report
- eval-view
- Trust report
- Kiln
- Trust report
Shared compatibility
- Python · eval-view: Python runtime · Kiln: Python runtime
Choose eval-view if…
- License: eval-view is Apache-2.0, Kiln is Other.
- Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, 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.
Choose Kiln if…
- License: Kiln is Other, eval-view is Apache-2.0.
- Tags unique to Kiln: ai, chain-of-thought, collaboration, dataset-generation.
- Also covers Data & Retrieval, Model Training.
- When you need extensive tools for evaluating custom AI agents
When NOT to use Kiln
- If your project strictly requires a lightweight tool without comprehensive dataset management options
- Avoid if you do not require advanced synthetic data generation capabilities
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 (Kiln-AI/Kiln) · observed Sep 20, 2026
- GitHub forks (Kiln-AI/Kiln) · observed Sep 20, 2026
- Last push (Kiln-AI/Kiln) · observed Sep 19, 2026
- License file (Other) · 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 · Kiln 5.1k (synced Sep 20, 2026).
Common questions
- What is the difference between eval-view and Kiln?
- eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. Kiln: Build, Evaluate, and Optimize AI Systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose eval-view over Kiln?
- Choose eval-view over Kiln when License: eval-view is Apache-2.0, Kiln is Other; Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, 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 choose Kiln over eval-view?
- Choose Kiln over eval-view when License: Kiln is Other, eval-view is Apache-2.0; Tags unique to Kiln: ai, chain-of-thought, collaboration, dataset-generation; Also covers Data & Retrieval, Model Training; When you need extensive tools for evaluating custom AI agents.
- 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 Kiln?
- If your project strictly requires a lightweight tool without comprehensive dataset management options Avoid if you do not require advanced synthetic data generation capabilities
- Is eval-view or Kiln more popular on GitHub?
- Kiln has more GitHub stars (5,076 vs 134). Stars measure visibility, not whether either tool fits your constraints.
- Are eval-view and Kiln open source?
- Yes - both are open-source projects on GitHub (eval-view: Apache-2.0, Kiln: Other).
- Where can I find alternatives to eval-view or Kiln?
- GraphCanon lists graph-backed alternatives at eval-view alternatives and Kiln alternatives (eval-view markdown twin, Kiln 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 Kiln?
- eval-view: Active. Kiln: 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 Kiln?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: eval-view trust report; Kiln trust report.