--- title: "Kiln vs llm-app" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kiln-ai-kiln-vs-pathwaycom-llm-app" tools: ["kiln-ai-kiln", "pathwaycom-llm-app"] --- # Kiln vs llm-app *GraphCanon updated Sep 20, 2026* ## Verdict Pick Kiln if kiln is a versatile AI systems development toolkit that excels in comprehensive evaluation frameworks for agents, RAG components, and fine-tuning processes; 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. [Kiln](https://kiln.tech) reports 5.1k GitHub stars, 380 forks, and 72 open issues, last pushed Sep 19, 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 [Kiln's repository](https://github.com/Kiln-AI/Kiln) and [llm-app's repository](https://github.com/pathwaycom/llm-app). | | [Kiln](/tools/kiln-ai-kiln.md) | [llm-app](/tools/pathwaycom-llm-app.md) | | --- | --- | --- | | Tagline | Build, Evaluate, and Optimize AI Systems | Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data | | Stars | 5,076 | 58,920 | | Forks | 380 | 1,498 | | Open issues | 72 | 8 | | Language | Python | Jupyter Notebook | | Adopt for | Kiln is a versatile AI systems development toolkit that excels in comprehensive evaluation frameworks for agents, RAG components, and fine-tuning processes. | 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 | Other | MIT License | | Categories | AI Agents, Data & Retrieval, Evaluation & Observability, Model Training | Data & Retrieval, Evaluation & Observability, Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Kiln](/tools/kiln-ai-kiln.md) | [llm-app](/tools/pathwaycom-llm-app.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 74d | | Open issues (now) | 72 | 8 | | Stars delta | +105 (30d) | -117 (30d) | | Open issues delta | +6 (30d) | 0 (30d) | | Full report | [trust report](/tools/kiln-ai-kiln/trust.md) | [trust report](/tools/pathwaycom-llm-app/trust.md) | ## Decision facts: Kiln - **Adopt for:** Kiln is a versatile AI systems development toolkit that excels in comprehensive evaluation frameworks for agents, RAG components, and fine-tuning processes. ## 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 Kiln if… - Kiln is primarily Python; llm-app is Jupyter Notebook. - License: Kiln is Other, llm-app is MIT. - Tags unique to Kiln: ai, chain-of-thought, collaboration, dataset-generation. - Also covers AI Agents. - When you need extensive tools for evaluating custom AI agents ### Choose llm-app if… - llm-app is primarily Jupyter Notebook; Kiln is Python. - License: llm-app is MIT, Kiln is Other. - 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. - 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 Kiln - If your project strictly requires a lightweight tool without comprehensive dataset management options - Avoid if you do not require advanced synthetic data generation capabilities ## 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 Kiln and llm-app? Kiln: Build, Evaluate, and Optimize AI Systems. 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 Kiln over llm-app? Choose Kiln over llm-app when Kiln is primarily Python; llm-app is Jupyter Notebook; License: Kiln is Other, llm-app is MIT; Tags unique to Kiln: ai, chain-of-thought, collaboration, dataset-generation; Also covers AI Agents; When you need extensive tools for evaluating custom AI agents. ### When should I choose llm-app over Kiln? Choose llm-app over Kiln when llm-app is primarily Jupyter Notebook; Kiln is Python; License: llm-app is MIT, Kiln is Other; 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; 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 Kiln? If your project strictly requires a lightweight tool without comprehensive dataset management options Avoid if you do not require advanced synthetic data generation capabilities ### 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 Kiln or llm-app more popular on GitHub? llm-app has more GitHub stars (58,920 vs 5,076). Stars measure visibility, not whether either tool fits your constraints. ### Are Kiln and llm-app open source? Yes - both are open-source projects on GitHub (Kiln: Other, llm-app: MIT). ### Where can I find alternatives to Kiln or llm-app? GraphCanon lists graph-backed alternatives at [Kiln alternatives](/tools/kiln-ai-kiln/alternatives) and [llm-app alternatives](/tools/pathwaycom-llm-app/alternatives) ([Kiln markdown twin](/tools/kiln-ai-kiln/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/kiln-ai-kiln-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, Kiln or llm-app? Kiln: 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 Kiln and llm-app? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Kiln trust report](/tools/kiln-ai-kiln/trust); [llm-app trust report](/tools/pathwaycom-llm-app/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kiln-ai-kiln`](/api/graphcanon/graph?tool=kiln-ai-kiln) - 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/_