--- title: "FastGPT vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/labring-fastgpt-vs-shubhamsaboo-awesome-llm-apps" tools: ["labring-fastgpt", "shubhamsaboo-awesome-llm-apps"] --- # FastGPT vs awesome-llm-apps *GraphCanon updated Aug 16, 2026* ## Verdict Pick FastGPT if fastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable; pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases. [FastGPT](https://fastgpt.io) reports 29k GitHub stars, 7.3k forks, and 165 open issues, last pushed Aug 16, 2026. [awesome-llm-apps](https://www.theunwindai.com) has 131k stars, 19k forks, and 13 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [FastGPT's repository](https://github.com/labring/FastGPT) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [FastGPT](/tools/labring-fastgpt.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | | Stars | 29,366 | 131,230 | | Forks | 7,264 | 19,346 | | Open issues | 165 | 13 | | Language | TypeScript | Python | | Adopt for | FastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable | awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. | | Persona | - | - | | Runtime | - | - | | License | Other | The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. | | Categories | AI Agents, Data & Retrieval, LLM Frameworks | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FastGPT](/tools/labring-fastgpt.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Days since push | 0d | 4d | | Open issues (now) | 165 | 13 | | Stars delta | +360 (30d) | +14k (30d) | | Open issues delta | +7 (30d) | +6 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/labring-fastgpt/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | **Typed relationship:** FastGPT _(related)_ awesome-llm-apps ## Decision facts: FastGPT - **Adopt for:** FastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable ## Decision facts: awesome-llm-apps - **Pricing:** freemium - Free with open-source licensing, but commercial exploitation is allowed. - **Adopt for:** awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. - **License detail:** The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. ## Choose when ### Choose FastGPT if… - FastGPT is primarily TypeScript; awesome-llm-apps is Python. - License: FastGPT is Other, awesome-llm-apps is Apache-2.0. - Graph edge: FastGPT is a typed related of awesome-llm-apps - see the relationship row above. - Tags unique to FastGPT: agent, claude, deepseek, llm. - Also covers LLM Frameworks. - You prioritize ease of setup and configuration for advanced AI applications. ### Choose awesome-llm-apps if… - awesome-llm-apps is primarily Python; FastGPT is TypeScript. - License: awesome-llm-apps is Apache-2.0, FastGPT is Other. - Pricing: Free with open-source licensing, but commercial exploitation is allowed.. - Graph edge: awesome-llm-apps is a typed related of FastGPT - see the relationship row above. - Tags unique to awesome-llm-apps: agents, applications, customizable, deployable. - When you need quick implementations of various real-world use cases for AI Agents and RAG. ## When NOT to use FastGPT - If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support. - When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality. - Your use case requires a broader array of model integration, as FastGPT currently specializes in certain frameworks and may lack the depth needed for highly specialized models. ## When NOT to use awesome-llm-apps - If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. - When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction. ## Common questions ### What is the difference between FastGPT and awesome-llm-apps? FastGPT: A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories. ### When should I choose FastGPT over awesome-llm-apps? Choose FastGPT over awesome-llm-apps when FastGPT is primarily TypeScript; awesome-llm-apps is Python; License: FastGPT is Other, awesome-llm-apps is Apache-2.0; Graph edge: FastGPT is a typed related of awesome-llm-apps - see the relationship row above; Tags unique to FastGPT: agent, claude, deepseek, llm; Also covers LLM Frameworks; You prioritize ease of setup and configuration for advanced AI applications. ### When should I choose awesome-llm-apps over FastGPT? Choose awesome-llm-apps over FastGPT when awesome-llm-apps is primarily Python; FastGPT is TypeScript; License: awesome-llm-apps is Apache-2.0, FastGPT is Other; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Graph edge: awesome-llm-apps is a typed related of FastGPT - see the relationship row above; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; When you need quick implementations of various real-world use cases for AI Agents and RAG. ### When should I avoid FastGPT? If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support. When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality. Your use case requires a broader array of model integration, as FastGPT currently specializes in certain frameworks and may lack the depth needed for highly specialized models. ### When should I avoid awesome-llm-apps? If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction. ### Is FastGPT or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (131,230 vs 29,366). Stars measure visibility, not whether either tool fits your constraints. ### Are FastGPT and awesome-llm-apps open source? Yes - both are open-source projects on GitHub (FastGPT: Other, awesome-llm-apps: Apache-2.0). ### Where can I find alternatives to FastGPT or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [FastGPT alternatives](/tools/labring-fastgpt/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([FastGPT markdown twin](/tools/labring-fastgpt/alternatives.md), [awesome-llm-apps markdown twin](/tools/shubhamsaboo-awesome-llm-apps/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/labring-fastgpt-vs-shubhamsaboo-awesome-llm-apps.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FastGPT or awesome-llm-apps? FastGPT: Very active. awesome-llm-apps: 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 FastGPT and awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FastGPT trust report](/tools/labring-fastgpt/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=labring-fastgpt`](/api/graphcanon/graph?tool=labring-fastgpt) - 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/_