--- title: "quilt vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/quiltdata-quilt-vs-shubhamsaboo-awesome-llm-apps" tools: ["quiltdata-quilt", "shubhamsaboo-awesome-llm-apps"] --- # quilt vs awesome-llm-apps *GraphCanon updated Aug 7, 2026* ## Verdict Pick quilt if quilt is a platform focused on managing scientific and AI-related datasets through detailed version control and context-rich data packages hosted on AWS; 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 in Python. [quilt](https://quilt.bio) reports 1.4k GitHub stars, 90 forks, and 143 open issues, last pushed Jul 31, 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 [quilt's repository](https://github.com/quiltdata/quilt) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [quilt](/tools/quiltdata-quilt.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | Scientific Data Management Platform on AWS for managing data packages | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | | Stars | 1,367 | 131,230 | | Forks | 90 | 19,346 | | Open issues | 143 | 13 | | Language | TypeScript | Python | | Adopt for | Quilt is a platform focused on managing scientific and AI-related datasets through detailed version control and context-rich data packages hosted on AWS. | 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 | Apache-2.0 | 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 | Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [quilt](/tools/quiltdata-quilt.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Days since push | 2d | 4d | | Open issues (now) | 143 | 13 | | Stars delta | Unknown | +14k (30d) | | Open issues delta | Unknown | +6 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/quiltdata-quilt/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## Shared compatibility - **Node.js**: [quilt](/tools/quiltdata-quilt.md) - Node.js runtime; [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) - Node.js runtime - **Python**: [quilt](/tools/quiltdata-quilt.md) - Python runtime; [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) - Python runtime ## Decision facts: quilt - **Adopt for:** Quilt is a platform focused on managing scientific and AI-related datasets through detailed version control and context-rich data packages hosted on AWS. ## 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 quilt if… - quilt is primarily TypeScript; awesome-llm-apps is Python. - Tags unique to quilt: data-engineering, data-version-control, data-versioning, parquet. - When your team requires in-depth version control for complex scientific datasets, ensuring that every change to the dataset is tracked and documented. ### Choose awesome-llm-apps if… - awesome-llm-apps is primarily Python; quilt is TypeScript. - Pricing: Free with open-source licensing, but commercial exploitation is allowed.. - Tags unique to awesome-llm-apps: agents, applications, customizable, deployable. - Also covers AI Agents. - When you need quick implementations of various real-world use cases for AI Agents and RAG. ## When NOT to use quilt - Not recommended if you prefer on-premises solutions over AWS-hosted services, as Quilt operates exclusively within the Amazon Web Services ecosystem. - If your project involves handling simple and static datasets where traditional CVS tools suffice. The overhead of using a specialized solution like Quilt might not justify its use. - Teams with limited experience in data engineering or with less sophisticated dataset requirements may find Quilt's robust features overly complex, potentially leading to underutilization. ## 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 quilt and awesome-llm-apps? quilt: Scientific Data Management Platform on AWS for managing data packages. 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 quilt over awesome-llm-apps? Choose quilt over awesome-llm-apps when quilt is primarily TypeScript; awesome-llm-apps is Python; Tags unique to quilt: data-engineering, data-version-control, data-versioning, parquet; When your team requires in-depth version control for complex scientific datasets, ensuring that every change to the dataset is tracked and documented. ### When should I choose awesome-llm-apps over quilt? Choose awesome-llm-apps over quilt when awesome-llm-apps is primarily Python; quilt is TypeScript; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers AI Agents; When you need quick implementations of various real-world use cases for AI Agents and RAG. ### When should I avoid quilt? Not recommended if you prefer on-premises solutions over AWS-hosted services, as Quilt operates exclusively within the Amazon Web Services ecosystem. If your project involves handling simple and static datasets where traditional CVS tools suffice. The overhead of using a specialized solution like Quilt might not justify its use. Teams with limited experience in data engineering or with less sophisticated dataset requirements may find Quilt's robust features overly complex, potentially leading to underutilization. ### 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 quilt or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (131,230 vs 1,367). Stars measure visibility, not whether either tool fits your constraints. ### Are quilt and awesome-llm-apps open source? Yes - both are open-source projects on GitHub (quilt: Apache-2.0, awesome-llm-apps: Apache-2.0). ### Where can I find alternatives to quilt or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [quilt alternatives](/tools/quiltdata-quilt/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([quilt markdown twin](/tools/quiltdata-quilt/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/quiltdata-quilt-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, quilt or awesome-llm-apps? quilt: 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 quilt and awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [quilt trust report](/tools/quiltdata-quilt/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=quiltdata-quilt`](/api/graphcanon/graph?tool=quiltdata-quilt) - 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/_