---
title: "athina-evals vs PHUDGE"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/athina-ai-athina-evals-vs-deshwalmahesh-phudge"
tools: ["athina-ai-athina-evals", "deshwalmahesh-phudge"]
---

# athina-evals vs PHUDGE

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick athina-evals if athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks; pick PHUDGE if pHUDGE grades LLM responses using scalable configurations with custom rubrics and reference answers for both relative and absolute grading.

[athina-evals](https://docs.athina.ai) reports 301 GitHub stars, 22 forks, and 4 open issues, last pushed Jun 6, 2025. [PHUDGE](https://arxiv.org/abs/2405.08029) has 53 stars, 7 forks, and 1 open issues, last pushed Jul 10, 2024. Figures are from public GitHub metadata via [athina-evals's repository](https://github.com/athina-ai/athina-evals) and [PHUDGE's repository](https://github.com/deshwalmahesh/PHUDGE).

| | [athina-evals](/tools/athina-ai-athina-evals.md) | [PHUDGE](/tools/deshwalmahesh-phudge.md) |
| --- | --- | --- |
| Tagline | Python SDK for evaluating LLM generated responses | Evaluation toolkit for LLM responses with scalable grading and hallucination detection. |
| Stars | 301 | 53 |
| Forks | 22 | 7 |
| Open issues | 4 | 1 |
| Language | Python | Jupyter Notebook |
| Adopt for | athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks. | PHUDGE grades LLM responses using scalable configurations with custom rubrics and reference answers for both relative and absolute grading. |
| Persona | - | - |
| Runtime | - | - |
| License | - | No clear open-source license listed. Verify usage rights before incorporation into projects. |
| Categories | Evaluation & Observability | Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [athina-evals](/tools/athina-ai-athina-evals.md) | [PHUDGE](/tools/deshwalmahesh-phudge.md) |
| --- | --- | --- |
| Days since push | 470d | 791d |
| Open issues (now) | 4 | 1 |
| Open issues delta | +1 (30d) | 0 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/athina-ai-athina-evals/trust.md) | [trust report](/tools/deshwalmahesh-phudge/trust.md) |

## Decision facts: athina-evals

- **Adopt for:** athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks.

## 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.

## Choose when

### Choose athina-evals if…

- athina-evals is primarily Python; PHUDGE is Jupyter Notebook.
- Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval.
- When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics

### Choose PHUDGE if…

- PHUDGE is primarily Jupyter Notebook; athina-evals 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, phi-3.
- Need robust evaluation of LLM responses on a scale from one to five

## When NOT to use athina-evals

- If open-source alternatives with transparent customization options are preferred over athina-evals' approach
- In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments

## 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

## Common questions

### What is the difference between athina-evals and PHUDGE?

athina-evals: Python SDK for evaluating LLM generated responses. PHUDGE: Evaluation toolkit for LLM responses with scalable grading and hallucination detection.. See the comparison table for live GitHub stats and shared categories.

### When should I choose athina-evals over PHUDGE?

Choose athina-evals over PHUDGE when athina-evals is primarily Python; PHUDGE is Jupyter Notebook; Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics.

### When should I choose PHUDGE over athina-evals?

Choose PHUDGE over athina-evals when PHUDGE is primarily Jupyter Notebook; athina-evals 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, phi-3; Need robust evaluation of LLM responses on a scale from one to five.

### When should I avoid athina-evals?

If open-source alternatives with transparent customization options are preferred over athina-evals' approach In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments

### 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

### Is athina-evals or PHUDGE more popular on GitHub?

athina-evals has more GitHub stars (301 vs 53). Stars measure visibility, not whether either tool fits your constraints.

### Are athina-evals and PHUDGE open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to athina-evals or PHUDGE?

GraphCanon lists graph-backed alternatives at [athina-evals alternatives](/tools/athina-ai-athina-evals/alternatives) and [PHUDGE alternatives](/tools/deshwalmahesh-phudge/alternatives) ([athina-evals markdown twin](/tools/athina-ai-athina-evals/alternatives.md), [PHUDGE markdown twin](/tools/deshwalmahesh-phudge/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/athina-ai-athina-evals-vs-deshwalmahesh-phudge.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, athina-evals or PHUDGE?

athina-evals: Dormant. PHUDGE: 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 athina-evals and PHUDGE?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [athina-evals trust report](/tools/athina-ai-athina-evals/trust); [PHUDGE trust report](/tools/deshwalmahesh-phudge/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=athina-ai-athina-evals`](/api/graphcanon/graph?tool=athina-ai-athina-evals)
- 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/_
