--- title: "futureagi-sdk vs raga-llm-hub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-futureagi-sdk-vs-raga-ai-hub-raga-llm-hub" tools: ["future-agi-futureagi-sdk", "raga-ai-hub-raga-llm-hub"] --- # futureagi-sdk vs raga-llm-hub *GraphCanon updated Aug 2, 2026* ## Verdict Pick futureagi-sdk if future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0; 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. [futureagi-sdk](https://app.futureagi.com) reports 48 GitHub stars, 5 forks, and 3 open issues, last pushed Jul 8, 2026. [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 [futureagi-sdk's repository](https://github.com/future-agi/futureagi-sdk) and [raga-llm-hub's repository](https://github.com/raga-ai-hub/raga-llm-hub). | | [futureagi-sdk](/tools/future-agi-futureagi-sdk.md) | [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.md) | | --- | --- | --- | | Tagline | Production-grade AI evaluation, prompt management & observability SDK | Framework for LLM evaluation, guardrails and security | | Stars | 48 | 114 | | Forks | 5 | 14 | | Open issues | 3 | 2 | | Language | Python | Python | | Adopt for | Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0. | 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 Future AGI SDK uses the Apache License, Version 2.0 (Apache-2.0). It allows users to freely use, modify, and distribute the software while maintaining copyright notices. | 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._ | | [futureagi-sdk](/tools/future-agi-futureagi-sdk.md) | [raga-llm-hub](/tools/raga-ai-hub-raga-llm-hub.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 25d | 687d | | Open issues (now) | 3 | 2 | | Full report | [trust report](/tools/future-agi-futureagi-sdk/trust.md) | [trust report](/tools/raga-ai-hub-raga-llm-hub/trust.md) | ## Decision facts: futureagi-sdk - **Requirements:** Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails - **Adopt for:** Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0. - **License detail:** The Future AGI SDK uses the Apache License, Version 2.0 (Apache-2.0). It allows users to freely use, modify, and distribute the software while maintaining copyright notices. ## 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 futureagi-sdk if… - License: futureagi-sdk is Apache-2.0, raga-llm-hub is Other. - Requirements: Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails. - Tags unique to futureagi-sdk: ai-agents, annotations, dataset, development. - Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0. ### Choose raga-llm-hub if… - License: raga-llm-hub is Other, futureagi-sdk is Apache-2.0. - 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 NOT to use futureagi-sdk - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## 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 futureagi-sdk and raga-llm-hub? futureagi-sdk: Production-grade AI evaluation, prompt management & observability SDK. 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 futureagi-sdk over raga-llm-hub? Choose futureagi-sdk over raga-llm-hub when License: futureagi-sdk is Apache-2.0, raga-llm-hub is Other; Requirements: Supports Python and TypeScript languages; Automated evaluations with sub-100ms guardrails; Tags unique to futureagi-sdk: ai-agents, annotations, dataset, development; Future AGI SDK is an innovative toolkit designed for production-grade AI evaluation, prompt management, and observability. It supports Python and TypeScript languages and is licensed under Apache-2.0. ### When should I choose raga-llm-hub over futureagi-sdk? Choose raga-llm-hub over futureagi-sdk when License: raga-llm-hub is Other, futureagi-sdk is Apache-2.0; 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 avoid futureagi-sdk? Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### 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 futureagi-sdk or raga-llm-hub more popular on GitHub? raga-llm-hub has more GitHub stars (114 vs 48). Stars measure visibility, not whether either tool fits your constraints. ### Are futureagi-sdk and raga-llm-hub open source? Yes - both are open-source projects on GitHub (futureagi-sdk: Apache-2.0, raga-llm-hub: Other). ### Where can I find alternatives to futureagi-sdk or raga-llm-hub? GraphCanon lists graph-backed alternatives at [futureagi-sdk alternatives](/tools/future-agi-futureagi-sdk/alternatives) and [raga-llm-hub alternatives](/tools/raga-ai-hub-raga-llm-hub/alternatives) ([futureagi-sdk markdown twin](/tools/future-agi-futureagi-sdk/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/future-agi-futureagi-sdk-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, futureagi-sdk or raga-llm-hub? futureagi-sdk: Active. 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 futureagi-sdk and raga-llm-hub? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [futureagi-sdk trust report](/tools/future-agi-futureagi-sdk/trust); [raga-llm-hub trust report](/tools/raga-ai-hub-raga-llm-hub/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=future-agi-futureagi-sdk`](/api/graphcanon/graph?tool=future-agi-futureagi-sdk) - 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/_