--- title: "raga-llm-hub vs frai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/raga-ai-hub-raga-llm-hub-vs-sebuzdugan-frai" tools: ["raga-ai-hub-raga-llm-hub", "sebuzdugan-frai"] --- # raga-llm-hub vs frai *GraphCanon updated Aug 9, 2026* ## Verdict 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; pick frai if frai is an open-source toolkit that uses CLI and SDK to scan code for responsible AI development purposes, generating model cards, risk assessments, and evaluations. [raga-llm-hub](https://www.raga.ai/llms) reports 114 GitHub stars, 14 forks, and 2 open issues, last pushed Sep 9, 2024. [frai](https://frai.cc/) has 53 stars, 4 forks, and 0 open issues, last pushed Aug 5, 2026. Figures are from public GitHub metadata via [raga-llm-hub's repository](https://github.com/raga-ai-hub/raga-llm-hub) and [frai's repository](https://github.com/sebuzdugan/frai). | | [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.md) | [frai](/tools/sebuzdugan-frai.md) | | --- | --- | --- | | Tagline | Framework for LLM evaluation, guardrails and security | A toolkit for responsible AI development that generates model cards, risk assessments, and evals via CLI and SDK. | | Stars | 114 | 53 | | Forks | 14 | 4 | | Open issues | 2 | 0 | | Language | Python | JavaScript | | 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. | frai is an open-source toolkit that uses CLI and SDK to scan code for responsible AI development purposes, generating model cards, risk assessments, and evaluations. | | 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. | MIT | | Categories | Evaluation & Observability | Developer Tools, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.md) | [frai](/tools/sebuzdugan-frai.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 687d | 3d | | Open issues (now) | 2 | 0 | | Owner type | Organization | User | | Full report | [trust report](/tools/raga-ai-hub-raga-llm-hub/trust.md) | [trust report](/tools/sebuzdugan-frai/trust.md) | ## 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. ## Decision facts: frai - **Adopt for:** frai is an open-source toolkit that uses CLI and SDK to scan code for responsible AI development purposes, generating model cards, risk assessments, and evaluations. ## Choose when ### Choose raga-llm-hub if… - raga-llm-hub is primarily Python; frai is JavaScript. - License: raga-llm-hub is Other, frai is MIT. - 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, llm-evaluation, 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. ### Choose frai if… - frai is primarily JavaScript; raga-llm-hub is Python. - License: frai is MIT, raga-llm-hub is Other. - Tags unique to frai: ai-compliance, audit, bias, evaluation. - Also covers Developer Tools. - Use when you need to comply with specific safety standards in AI projects using JavaScript framework. ## 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. ## When NOT to use frai - Avoid if your development environment strictly requires non-JavaScript languages for tool integration. - Not advisable if automated governance and scanning tools are not aligned with organizational compliance policies. ## Common questions ### What is the difference between raga-llm-hub and frai? raga-llm-hub: Framework for LLM evaluation, guardrails and security. frai: A toolkit for responsible AI development that generates model cards, risk assessments, and evals via CLI and SDK.. See the comparison table for live GitHub stats and shared categories. ### When should I choose raga-llm-hub over frai? Choose raga-llm-hub over frai when raga-llm-hub is primarily Python; frai is JavaScript; License: raga-llm-hub is Other, frai is MIT; 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, llm-evaluation, 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 choose frai over raga-llm-hub? Choose frai over raga-llm-hub when frai is primarily JavaScript; raga-llm-hub is Python; License: frai is MIT, raga-llm-hub is Other; Tags unique to frai: ai-compliance, audit, bias, evaluation; Also covers Developer Tools; Use when you need to comply with specific safety standards in AI projects using JavaScript framework. ### 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. ### When should I avoid frai? Avoid if your development environment strictly requires non-JavaScript languages for tool integration. Not advisable if automated governance and scanning tools are not aligned with organizational compliance policies. ### Is raga-llm-hub or frai more popular on GitHub? raga-llm-hub has more GitHub stars (114 vs 53). Stars measure visibility, not whether either tool fits your constraints. ### Are raga-llm-hub and frai open source? Yes - both are open-source projects on GitHub (raga-llm-hub: Other, frai: MIT). ### Where can I find alternatives to raga-llm-hub or frai? GraphCanon lists graph-backed alternatives at [raga-llm-hub alternatives](/tools/raga-ai-hub-raga-llm-hub/alternatives) and [frai alternatives](/tools/sebuzdugan-frai/alternatives) ([raga-llm-hub markdown twin](/tools/raga-ai-hub-raga-llm-hub/alternatives.md), [frai markdown twin](/tools/sebuzdugan-frai/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/raga-ai-hub-raga-llm-hub-vs-sebuzdugan-frai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, raga-llm-hub or frai? raga-llm-hub: Dormant. frai: 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 raga-llm-hub and frai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [raga-llm-hub trust report](/tools/raga-ai-hub-raga-llm-hub/trust); [frai trust report](/tools/sebuzdugan-frai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=raga-ai-hub-raga-llm-hub`](/api/graphcanon/graph?tool=raga-ai-hub-raga-llm-hub) - 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/_