---
title: "athina-evals vs parea-sdk-py"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/athina-ai-athina-evals-vs-parea-ai-parea-sdk-py"
tools: ["athina-ai-athina-evals", "parea-ai-parea-sdk-py"]
---

# athina-evals vs parea-sdk-py

*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 parea-sdk-py if parea SDK Py is a Python library specializing in LLM app development tasks such as experimentation, testing, evaluation, and monitoring.

[athina-evals](https://docs.athina.ai) reports 301 GitHub stars, 22 forks, and 4 open issues, last pushed Jun 6, 2025. [parea-sdk-py](https://docs.parea.ai/sdk/python) has 82 stars, 13 forks, and 59 open issues, last pushed Feb 13, 2025. Figures are from public GitHub metadata via [athina-evals's repository](https://github.com/athina-ai/athina-evals) and [parea-sdk-py's repository](https://github.com/parea-ai/parea-sdk-py).

| | [athina-evals](/tools/athina-ai-athina-evals.md) | [parea-sdk-py](/tools/parea-ai-parea-sdk-py.md) |
| --- | --- | --- |
| Tagline | Python SDK for evaluating LLM generated responses | Python SDK for experimenting, testing, evaluating and monitoring LLM-powered applications. |
| Stars | 301 | 82 |
| Forks | 22 | 13 |
| Open issues | 4 | 59 |
| Language | Python | Python |
| Adopt for | athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks. | Parea SDK Py is a Python library specializing in LLM app development tasks such as experimentation, testing, evaluation, and monitoring. |
| Persona | - | - |
| Runtime | - | - |
| License | - | Apache-2.0 |
| Categories | Evaluation & Observability | Evaluation & Observability, Model Training |

## Trust and health

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

| | [athina-evals](/tools/athina-ai-athina-evals.md) | [parea-sdk-py](/tools/parea-ai-parea-sdk-py.md) |
| --- | --- | --- |
| Days since push | 470d | 572d |
| Open issues (now) | 4 | 59 |
| Full report | [trust report](/tools/athina-ai-athina-evals/trust.md) | [trust report](/tools/parea-ai-parea-sdk-py/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: parea-sdk-py

- **Adopt for:** Parea SDK Py is a Python library specializing in LLM app development tasks such as experimentation, testing, evaluation, and monitoring.

## Choose when

### Choose athina-evals if…

- Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-evaluation-toolkit.
- When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics
- More GitHub stars (301 vs 82) - visibility, not fit.

### Choose parea-sdk-py if…

- Tags unique to parea-sdk-py: prompt-engineering.
- Also covers Model Training.
- For teams prioritizing metrics-driven benchmarking of prompt-engineered applications

## 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 parea-sdk-py

- If requiring a tool focused solely on model training without evaluation and monitoring features
- Teams that prefer frameworks exclusively tailored to non-LLM AI application development might find Parea SDK Py less suitable as it focuses heavily on LLM applications

## Common questions

### What is the difference between athina-evals and parea-sdk-py?

athina-evals: Python SDK for evaluating LLM generated responses. parea-sdk-py: Python SDK for experimenting, testing, evaluating and monitoring LLM-powered applications.. See the comparison table for live GitHub stats and shared categories.

### When should I choose athina-evals over parea-sdk-py?

Choose athina-evals over parea-sdk-py when Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-evaluation-toolkit; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; More GitHub stars (301 vs 82) - visibility, not fit.

### When should I choose parea-sdk-py over athina-evals?

Choose parea-sdk-py over athina-evals when Tags unique to parea-sdk-py: prompt-engineering; Also covers Model Training; For teams prioritizing metrics-driven benchmarking of prompt-engineered applications.

### 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 parea-sdk-py?

If requiring a tool focused solely on model training without evaluation and monitoring features Teams that prefer frameworks exclusively tailored to non-LLM AI application development might find Parea SDK Py less suitable as it focuses heavily on LLM applications

### Is athina-evals or parea-sdk-py more popular on GitHub?

athina-evals has more GitHub stars (301 vs 82). Stars measure visibility, not whether either tool fits your constraints.

### Are athina-evals and parea-sdk-py open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to athina-evals or parea-sdk-py?

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

### Which is better maintained, athina-evals or parea-sdk-py?

athina-evals: Dormant. parea-sdk-py: 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 parea-sdk-py?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [athina-evals trust report](/tools/athina-ai-athina-evals/trust); [parea-sdk-py trust report](/tools/parea-ai-parea-sdk-py/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/_
