--- title: "OpenMetadata vs llm-app" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/open-metadata-openmetadata-vs-pathwaycom-llm-app" tools: ["open-metadata-openmetadata", "pathwaycom-llm-app"] --- # OpenMetadata vs llm-app *GraphCanon updated Sep 20, 2026* ## Verdict Pick OpenMetadata if a tool for data and AI systems to gain trusted context and business semantics through metadata management; pick llm-app if llm-app offers cloud templates for RAG, AI pipelines, and enterprise search, supporting integration with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs. [OpenMetadata](https://open-metadata.org) reports 15k GitHub stars, 2.4k forks, and 874 open issues, last pushed Sep 20, 2026. [llm-app](https://pathway.com/developers/templates/) has 59k stars, 1.5k forks, and 8 open issues, last pushed Jul 5, 2026. Figures are from public GitHub metadata via [OpenMetadata's repository](https://github.com/open-metadata/OpenMetadata) and [llm-app's repository](https://github.com/pathwaycom/llm-app). | | [OpenMetadata](/tools/open-metadata-openmetadata.md) | [llm-app](/tools/pathwaycom-llm-app.md) | | --- | --- | --- | | Tagline | Open platform for building trusted data context and business semantics | Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data | | Stars | 15,264 | 58,920 | | Forks | 2,389 | 1,498 | | Open issues | 874 | 8 | | Language | TypeScript | Jupyter Notebook | | Adopt for | A tool for data and AI systems to gain trusted context and business semantics through metadata management. | llm-app offers cloud templates for RAG, AI pipelines, and enterprise search, supporting integration with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License | | Categories | Data & Retrieval, Evaluation & Observability | Data & Retrieval, Evaluation & Observability, Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OpenMetadata](/tools/open-metadata-openmetadata.md) | [llm-app](/tools/pathwaycom-llm-app.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 74d | | Open issues (now) | 874 | 8 | | Stars delta | +696 (30d) | -117 (30d) | | Open issues delta | -47 (30d) | 0 (30d) | | Full report | [trust report](/tools/open-metadata-openmetadata/trust.md) | [trust report](/tools/pathwaycom-llm-app/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: llm-app - **Pricing:** freemium - The repository is open-source under the MIT License, but additional services or support might incur costs. - **Requirements:** Min 4 GB RAM; Requires Docker; Requires Docker for running the cloud templates.; Supports integration with a variety of data sources including Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs. - **Adopt for:** llm-app offers cloud templates for RAG, AI pipelines, and enterprise search, supporting integration with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs. - **License detail:** MIT License ## Choose when ### Choose OpenMetadata if… - OpenMetadata is primarily TypeScript; llm-app is Jupyter Notebook. - License: OpenMetadata is Apache-2.0, llm-app is MIT. - Tags unique to OpenMetadata: context, context-layer, data-catalog, data-discovery. - When a need exists for robust metadata management that supports effective collaboration between humans and AI systems on understanding data context and lineage. ### Choose llm-app if… - llm-app is primarily Jupyter Notebook; OpenMetadata is TypeScript. - License: llm-app is MIT, OpenMetadata is Apache-2.0. - Pricing: The repository is open-source under the MIT License, but additional services or support might incur costs.. - Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for running the cloud templates.; Supports integration with a variety of data sources including Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs.. - Tags unique to llm-app: chatbot, hugging-face, llm, llm-local. - Also covers Inference & Serving, Model Training. - When you need ready-to-run cloud templates for RAG, AI pipelines, and enterprise search that integrate seamlessly with data sources such as Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-ti ## 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 llm-app - Avoid using llm-app if your project does not require integration with specific data sources like Sharepoint or Google Drive, as the tool's strength lies in its broad data source support. - Do not use llm-app if you are looking for a tool that focuses solely on model training or inference without the need for cloud templates or enterprise search capabilities. ## Common questions ### What is the difference between OpenMetadata and llm-app? OpenMetadata: Open platform for building trusted data context and business semantics. llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. See the comparison table for live GitHub stats and shared categories. ### When should I choose OpenMetadata over llm-app? Choose OpenMetadata over llm-app when OpenMetadata is primarily TypeScript; llm-app is Jupyter Notebook; License: OpenMetadata is Apache-2.0, llm-app is MIT; Tags unique to OpenMetadata: context, context-layer, data-catalog, data-discovery; 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 llm-app over OpenMetadata? Choose llm-app over OpenMetadata when llm-app is primarily Jupyter Notebook; OpenMetadata is TypeScript; License: llm-app is MIT, OpenMetadata is Apache-2.0; Pricing: The repository is open-source under the MIT License, but additional services or support might incur costs.; Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for running the cloud templates.; Supports integration with a variety of data sources including Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs.; Tags unique to llm-app: chatbot, hugging-face, llm, llm-local; Also covers Inference & Serving, Model Training; When you need ready-to-run cloud templates for RAG, AI pipelines, and enterprise search that integrate seamlessly with data sources such as Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-ti. ### 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 llm-app? Avoid using llm-app if your project does not require integration with specific data sources like Sharepoint or Google Drive, as the tool's strength lies in its broad data source support. Do not use llm-app if you are looking for a tool that focuses solely on model training or inference without the need for cloud templates or enterprise search capabilities. ### Is OpenMetadata or llm-app more popular on GitHub? llm-app has more GitHub stars (58,920 vs 15,264). Stars measure visibility, not whether either tool fits your constraints. ### Are OpenMetadata and llm-app open source? Yes - both are open-source projects on GitHub (OpenMetadata: Apache-2.0, llm-app: MIT). ### Where can I find alternatives to OpenMetadata or llm-app? GraphCanon lists graph-backed alternatives at [OpenMetadata alternatives](/tools/open-metadata-openmetadata/alternatives) and [llm-app alternatives](/tools/pathwaycom-llm-app/alternatives) ([OpenMetadata markdown twin](/tools/open-metadata-openmetadata/alternatives.md), [llm-app markdown twin](/tools/pathwaycom-llm-app/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-pathwaycom-llm-app.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, OpenMetadata or llm-app? OpenMetadata: Very active. llm-app: Steady. 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 llm-app? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OpenMetadata trust report](/tools/open-metadata-openmetadata/trust); [llm-app trust report](/tools/pathwaycom-llm-app/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/_