--- title: "OpenMetadata vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/open-metadata-openmetadata-vs-shubhamsaboo-awesome-llm-apps" tools: ["open-metadata-openmetadata", "shubhamsaboo-awesome-llm-apps"] --- # OpenMetadata vs awesome-llm-apps *GraphCanon updated Aug 26, 2026* ## Verdict Pick OpenMetadata if a tool for data and AI systems to gain trusted context and business semantics through metadata management; 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. [OpenMetadata](https://open-metadata.org) reports 15k GitHub stars, 2.3k forks, and 856 open issues, last pushed Aug 25, 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 [OpenMetadata's repository](https://github.com/open-metadata/OpenMetadata) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [OpenMetadata](/tools/open-metadata-openmetadata.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | Open platform for building trusted data context and business semantics | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | | Stars | 14,966 | 131,230 | | Forks | 2,334 | 19,346 | | Open issues | 856 | 13 | | Language | TypeScript | Python | | Adopt for | A tool for data and AI systems to gain trusted context and business semantics through metadata management. | 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, Evaluation & Observability | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OpenMetadata](/tools/open-metadata-openmetadata.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Days since push | 0d | 4d | | Open issues (now) | 856 | 13 | | Stars delta | +398 (30d) | +14k (30d) | | Open issues delta | -65 (30d) | +6 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/open-metadata-openmetadata/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## Decision facts: OpenMetadata - **Adopt for:** A tool for data and AI systems to gain trusted context and business semantics through metadata management. ## 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 OpenMetadata if… - OpenMetadata is primarily TypeScript; awesome-llm-apps is Python. - Tags unique to OpenMetadata: context, context-layer, data-catalog, data-discovery. - Also covers Evaluation & Observability. - When a need exists for robust metadata management that supports effective collaboration between humans and AI systems on understanding data context and lineage. ### Choose awesome-llm-apps if… - awesome-llm-apps is primarily Python; OpenMetadata 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 OpenMetadata - If looking for a more specialized tool that focuses solely on AI model evaluation or training data retrieval without the emphasis on metadata context management. - In scenarios where the ecosystem's requirements favor closed-source solutions over open platforms like OpenMetadata, which may limit certain customization options. ## 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 OpenMetadata and awesome-llm-apps? OpenMetadata: Open platform for building trusted data context and business semantics. 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 OpenMetadata over awesome-llm-apps? Choose OpenMetadata over awesome-llm-apps when OpenMetadata is primarily TypeScript; awesome-llm-apps is Python; Tags unique to OpenMetadata: context, context-layer, data-catalog, data-discovery; Also covers Evaluation & Observability; When a need exists for robust metadata management that supports effective collaboration between humans and AI systems on understanding data context and lineage. ### When should I choose awesome-llm-apps over OpenMetadata? Choose awesome-llm-apps over OpenMetadata when awesome-llm-apps is primarily Python; OpenMetadata 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 OpenMetadata? If looking for a more specialized tool that focuses solely on AI model evaluation or training data retrieval without the emphasis on metadata context management. In scenarios where the ecosystem's requirements favor closed-source solutions over open platforms like OpenMetadata, which may limit certain customization options. ### 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 OpenMetadata or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (131,230 vs 14,966). Stars measure visibility, not whether either tool fits your constraints. ### Are OpenMetadata and awesome-llm-apps open source? Yes - both are open-source projects on GitHub (OpenMetadata: Apache-2.0, awesome-llm-apps: Apache-2.0). ### Where can I find alternatives to OpenMetadata or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [OpenMetadata alternatives](/tools/open-metadata-openmetadata/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([OpenMetadata markdown twin](/tools/open-metadata-openmetadata/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/open-metadata-openmetadata-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, OpenMetadata or awesome-llm-apps? OpenMetadata: 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 OpenMetadata and awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OpenMetadata trust report](/tools/open-metadata-openmetadata/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=open-metadata-openmetadata`](/api/graphcanon/graph?tool=open-metadata-openmetadata) - 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/_