--- title: "PHUDGE vs eval-view" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/deshwalmahesh-phudge-vs-hidai25-eval-view" tools: ["deshwalmahesh-phudge", "hidai25-eval-view"] --- # PHUDGE vs eval-view *GraphCanon updated Sep 20, 2026* ## Verdict Pick PHUDGE if pHUDGE grades LLM responses using scalable configurations with custom rubrics and reference answers for both relative and absolute grading; 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. [PHUDGE](https://arxiv.org/abs/2405.08029) reports 53 GitHub stars, 7 forks, and 1 open issues, last pushed Jul 10, 2024. [eval-view](https://evalview.com) has 134 stars, 24 forks, and 2 open issues, last pushed Sep 5, 2026. Figures are from public GitHub metadata via [PHUDGE's repository](https://github.com/deshwalmahesh/PHUDGE) and [eval-view's repository](https://github.com/hidai25/eval-view). | | [PHUDGE](/tools/deshwalmahesh-phudge.md) | [eval-view](/tools/hidai25-eval-view.md) | | --- | --- | --- | | Tagline | Evaluation toolkit for LLM responses with scalable grading and hallucination detection. | Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI | | Stars | 53 | 134 | | Forks | 7 | 24 | | Open issues | 1 | 2 | | Language | Jupyter Notebook | Python | | Adopt for | PHUDGE grades LLM responses using scalable configurations with custom rubrics and reference answers for both relative and absolute grading. | 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 | - | - | | Runtime | - | - | | License | No clear open-source license listed. Verify usage rights before incorporation into projects. | Apache-2.0 | | Categories | Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [PHUDGE](/tools/deshwalmahesh-phudge.md) | [eval-view](/tools/hidai25-eval-view.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 791d | 13d | | Open issues (now) | 1 | 2 | | Stars delta | 0 (30d) | +8 (30d) | | Open issues delta | 0 (30d) | -1 (30d) | | Full report | [trust report](/tools/deshwalmahesh-phudge/trust.md) | [trust report](/tools/hidai25-eval-view/trust.md) | ## Shared compatibility - **Python**: [PHUDGE](/tools/deshwalmahesh-phudge.md) - Python runtime; [eval-view](/tools/hidai25-eval-view.md) - Python runtime ## Decision facts: PHUDGE - **Pricing:** freemium - Primary model is free; potential costs associated with training and running on specific hardware. - **Adopt for:** PHUDGE grades LLM responses using scalable configurations with custom rubrics and reference answers for both relative and absolute grading. - **License detail:** No clear open-source license listed. Verify usage rights before incorporation into projects. ## Decision facts: eval-view - **Adopt for:** 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 ## Choose when ### Choose PHUDGE if… - PHUDGE is primarily Jupyter Notebook; eval-view is Python. - Pricing: Primary model is free; potential costs associated with training and running on specific hardware.. - Tags unique to PHUDGE: absolute-grading, custom-rubric, hallucination-detection, llm-evaluation. - Need robust evaluation of LLM responses on a scale from one to five ### Choose eval-view if… - eval-view is primarily Python; PHUDGE 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 PHUDGE - Looking for real-time deployment without setup for different environments - Need support for models not compatible with Phi-3 architecture ## 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. ## Common questions ### What is the difference between PHUDGE and eval-view? PHUDGE: Evaluation toolkit for LLM responses with scalable grading and hallucination detection.. 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 PHUDGE over eval-view? Choose PHUDGE over eval-view when PHUDGE is primarily Jupyter Notebook; eval-view is Python; Pricing: Primary model is free; potential costs associated with training and running on specific hardware.; Tags unique to PHUDGE: absolute-grading, custom-rubric, hallucination-detection, llm-evaluation; Need robust evaluation of LLM responses on a scale from one to five. ### When should I choose eval-view over PHUDGE? Choose eval-view over PHUDGE when eval-view is primarily Python; PHUDGE 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 PHUDGE? Looking for real-time deployment without setup for different environments Need support for models not compatible with Phi-3 architecture ### 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 PHUDGE or eval-view more popular on GitHub? eval-view has more GitHub stars (134 vs 53). Stars measure visibility, not whether either tool fits your constraints. ### Are PHUDGE and eval-view open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to PHUDGE or eval-view? GraphCanon lists graph-backed alternatives at [PHUDGE alternatives](/tools/deshwalmahesh-phudge/alternatives) and [eval-view alternatives](/tools/hidai25-eval-view/alternatives) ([PHUDGE markdown twin](/tools/deshwalmahesh-phudge/alternatives.md), [eval-view markdown twin](/tools/hidai25-eval-view/alternatives.md)), 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](/compare/deshwalmahesh-phudge-vs-hidai25-eval-view.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, PHUDGE or eval-view? PHUDGE: Dormant. 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 PHUDGE and eval-view? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [PHUDGE trust report](/tools/deshwalmahesh-phudge/trust); [eval-view trust report](/tools/hidai25-eval-view/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=deshwalmahesh-phudge`](/api/graphcanon/graph?tool=deshwalmahesh-phudge) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_