--- title: "athina-evals vs raga-llm-hub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/athina-ai-athina-evals-vs-raga-ai-hub-raga-llm-hub" tools: ["athina-ai-athina-evals", "raga-ai-hub-raga-llm-hub"] --- # athina-evals vs raga-llm-hub *GraphCanon updated Jul 29, 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 raga-llm-hub if raga LLM-Hub is a Python-based framework for evaluating large language models, enforcing guardrails, and ensuring security during the operation of these models. [athina-evals](https://docs.athina.ai) reports 301 GitHub stars, 22 forks, and 3 open issues, last pushed Jun 6, 2025. [raga-llm-hub](https://www.raga.ai/llms) has 114 stars, 14 forks, and 2 open issues, last pushed Sep 9, 2024. Figures are from public GitHub metadata via [athina-evals's repository](https://github.com/athina-ai/athina-evals) and [raga-llm-hub's repository](https://github.com/raga-ai-hub/raga-llm-hub). | | [athina-evals](/tools/athina-ai-athina-evals.md) | [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.md) | | --- | --- | --- | | Tagline | Python SDK for evaluating LLM generated responses | Framework for LLM evaluation, guardrails and security | | Stars | 301 | 114 | | Forks | 22 | 14 | | Open issues | 3 | 2 | | 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. | Raga LLM-Hub is a Python-based framework for evaluating large language models, enforcing guardrails, and ensuring security during the operation of these models. | | Persona | - | - | | Runtime | - | - | | License | - | The license for Raga LLM-Hub differs from common Open Source licenses like MIT or Apache, implying specific conditions that might affect its usability in open 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) | [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.md) | | --- | --- | --- | | Days since push | 417d | 687d | | Open issues (now) | 3 | 2 | | Full report | [trust report](/tools/athina-ai-athina-evals/trust.md) | [trust report](/tools/raga-ai-hub-raga-llm-hub/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: raga-llm-hub - **Pricing:** unknown - Pricing information is not specified; it operates under a unique licensing model which may or may not have restrictive terms for commercial use. - **Requirements:** Requires Python installation and environment to set up.; Installation is straightforward through pip but the broader dependencies should be checked as per project requirements. - **Adopt for:** Raga LLM-Hub is a Python-based framework for evaluating large language models, enforcing guardrails, and ensuring security during the operation of these models. - **License detail:** The license for Raga LLM-Hub differs from common Open Source licenses like MIT or Apache, implying specific conditions that might affect its usability in open projects. ## Choose when ### Choose athina-evals if… - 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 - More GitHub stars (301 vs 114) - visibility, not fit. ### Choose raga-llm-hub if… - Pricing: Pricing information is not specified; it operates under a unique licensing model which may or may not have restrictive terms for commercial use.. - Requirements: Requires Python installation and environment to set up.; Installation is straightforward through pip but the broader dependencies should be checked as per project requirements.. - Tags unique to raga-llm-hub: guardrails, llm security, llmops. - When you need to conduct detailed evaluations on large language models and require specific methods to enforce guardrails and maintain security within your application or environment. ## 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 raga-llm-hub - If you are working in an environment where the use of Python is not feasible or desired, as Raga LLM-Hub's functionality is deeply integrated within Python. - Avoid using if your primary need does not include guardrails enforcement and security features for LLMs, since Raga LLM Hub emphasizes these aspects. ## Common questions ### What is the difference between athina-evals and raga-llm-hub? athina-evals: Python SDK for evaluating LLM generated responses. raga-llm-hub: Framework for LLM evaluation, guardrails and security. See the comparison table for live GitHub stats and shared categories. ### When should I choose athina-evals over raga-llm-hub? Choose athina-evals over raga-llm-hub when 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; More GitHub stars (301 vs 114) - visibility, not fit. ### When should I choose raga-llm-hub over athina-evals? Choose raga-llm-hub over athina-evals when Pricing: Pricing information is not specified; it operates under a unique licensing model which may or may not have restrictive terms for commercial use.; Requirements: Requires Python installation and environment to set up.; Installation is straightforward through pip but the broader dependencies should be checked as per project requirements.; Tags unique to raga-llm-hub: guardrails, llm security, llmops; When you need to conduct detailed evaluations on large language models and require specific methods to enforce guardrails and maintain security within your application or environment. ### 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 raga-llm-hub? If you are working in an environment where the use of Python is not feasible or desired, as Raga LLM-Hub's functionality is deeply integrated within Python. Avoid using if your primary need does not include guardrails enforcement and security features for LLMs, since Raga LLM Hub emphasizes these aspects. ### Is athina-evals or raga-llm-hub more popular on GitHub? athina-evals has more GitHub stars (301 vs 114). Stars measure visibility, not whether either tool fits your constraints. ### Are athina-evals and raga-llm-hub open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to athina-evals or raga-llm-hub? GraphCanon lists graph-backed alternatives at [athina-evals alternatives](/tools/athina-ai-athina-evals/alternatives) and [raga-llm-hub alternatives](/tools/raga-ai-hub-raga-llm-hub/alternatives) ([athina-evals markdown twin](/tools/athina-ai-athina-evals/alternatives.md), [raga-llm-hub markdown twin](/tools/raga-ai-hub-raga-llm-hub/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-raga-ai-hub-raga-llm-hub.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, athina-evals or raga-llm-hub? athina-evals: Dormant. raga-llm-hub: 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 raga-llm-hub? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [athina-evals trust report](/tools/athina-ai-athina-evals/trust); [raga-llm-hub trust report](/tools/raga-ai-hub-raga-llm-hub/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/_