--- title: "awesome-llm-apps vs MauiSamples" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/shubhamsaboo-awesome-llm-apps-vs-vladislavantonyuk-mauisamples" tools: ["shubhamsaboo-awesome-llm-apps", "vladislavantonyuk-mauisamples"] --- # awesome-llm-apps vs MauiSamples *GraphCanon updated Aug 7, 2026* ## Verdict 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; pick MauiSamples if mauiSamples provides a comprehensive collection of .NET MAUI sample projects showcasing features like authentication, SQLite integration, Blazor usage, and other UI functionalities. [awesome-llm-apps](https://www.theunwindai.com) reports 131k GitHub stars, 19k forks, and 13 open issues, last pushed Aug 3, 2026. [MauiSamples](https://vladislavantonyuk.azurewebsites.net/articles?categoryName=.NET%20MAUI/Xamarin) has 914 stars, 213 forks, and 9 open issues, last pushed Jul 16, 2026. Figures are from public GitHub metadata via [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps) and [MauiSamples's repository](https://github.com/VladislavAntonyuk/MauiSamples). | | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | [MauiSamples](/tools/vladislavantonyuk-mauisamples.md) | | --- | --- | --- | | Tagline | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | .NET MAUI Samples | | Stars | 131,230 | 914 | | Forks | 19,346 | 213 | | Open issues | 13 | 9 | | Language | Python | C# | | 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. | MauiSamples provides a comprehensive collection of .NET MAUI sample projects showcasing features like authentication, SQLite integration, Blazor usage, and other UI functionalities. | | Persona | - | - | | Runtime | - | - | | License | 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. | MIT | | Categories | AI Agents, Data & Retrieval | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | [MauiSamples](/tools/vladislavantonyuk-mauisamples.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 4d | 14d | | Open issues (now) | 13 | 9 | | Stars delta | +14k (30d) | Unknown | | Open issues delta | +6 (30d) | Unknown | | Full report | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | [trust report](/tools/vladislavantonyuk-mauisamples/trust.md) | ## Shared compatibility - **Cursor**: [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) - Works with Cursor; [MauiSamples](/tools/vladislavantonyuk-mauisamples.md) - Works with Cursor ## 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. ## Decision facts: MauiSamples - **Adopt for:** MauiSamples provides a comprehensive collection of .NET MAUI sample projects showcasing features like authentication, SQLite integration, Blazor usage, and other UI functionalities. ## Choose when ### Choose awesome-llm-apps if… - awesome-llm-apps is primarily Python; MauiSamples is C#. - License: awesome-llm-apps is Apache-2.0, MauiSamples is MIT. - 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, Data & Retrieval. - When you need quick implementations of various real-world use cases for AI Agents and RAG. ### Choose MauiSamples if… - MauiSamples is primarily C#; awesome-llm-apps is Python. - License: MauiSamples is MIT, awesome-llm-apps is Apache-2.0. - Tags unique to MauiSamples: azure, blazor, dotnet, dotnet-maui. - Also covers Developer Tools. - For developers seeking to quickly get started with practical implementations of .NET MAUI features ## 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. ## When NOT to use MauiSamples - If you need only basic tutorials and are not interested in complex integrations such as custom SQLite connections or Blazor in app development - For projects that exclusively focus on backend operations without a need to delve deep into frontend UI customization within.NET MAUI ## Common questions ### What is the difference between awesome-llm-apps and MauiSamples? awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. MauiSamples: .NET MAUI Samples. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-llm-apps over MauiSamples? Choose awesome-llm-apps over MauiSamples when awesome-llm-apps is primarily Python; MauiSamples is C#; License: awesome-llm-apps is Apache-2.0, MauiSamples is MIT; 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, Data & Retrieval; When you need quick implementations of various real-world use cases for AI Agents and RAG. ### When should I choose MauiSamples over awesome-llm-apps? Choose MauiSamples over awesome-llm-apps when MauiSamples is primarily C#; awesome-llm-apps is Python; License: MauiSamples is MIT, awesome-llm-apps is Apache-2.0; Tags unique to MauiSamples: azure, blazor, dotnet, dotnet-maui; Also covers Developer Tools; For developers seeking to quickly get started with practical implementations of .NET MAUI features. ### 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. ### When should I avoid MauiSamples? If you need only basic tutorials and are not interested in complex integrations such as custom SQLite connections or Blazor in app development For projects that exclusively focus on backend operations without a need to delve deep into frontend UI customization within.NET MAUI ### Is awesome-llm-apps or MauiSamples more popular on GitHub? awesome-llm-apps has more GitHub stars (131,230 vs 914). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-llm-apps and MauiSamples open source? Yes - both are open-source projects on GitHub (awesome-llm-apps: Apache-2.0, MauiSamples: MIT). ### Where can I find alternatives to awesome-llm-apps or MauiSamples? GraphCanon lists graph-backed alternatives at [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) and [MauiSamples alternatives](/tools/vladislavantonyuk-mauisamples/alternatives) ([awesome-llm-apps markdown twin](/tools/shubhamsaboo-awesome-llm-apps/alternatives.md), [MauiSamples markdown twin](/tools/vladislavantonyuk-mauisamples/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/shubhamsaboo-awesome-llm-apps-vs-vladislavantonyuk-mauisamples.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-llm-apps or MauiSamples? awesome-llm-apps: Very active. MauiSamples: 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 awesome-llm-apps and MauiSamples? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust); [MauiSamples trust report](/tools/vladislavantonyuk-mauisamples/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps`](/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps) - 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/_