Comparison
awesome-llm-apps vs MauiSamples
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.
Markdown twin · awesome-llm-apps alternatives · MauiSamples alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-llm-apps | MauiSamples |
|---|---|---|
| Maintenance | Very active (4d since push) As of 2w · github_public_v1 | Active (14d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
- MauiSamples
- .NET MAUI Samples
Stars
- awesome-llm-apps
- 131k
- MauiSamples
- 914
Forks
- awesome-llm-apps
- 19k
- MauiSamples
- 213
Open issues
- awesome-llm-apps
- 13
- MauiSamples
- 9
Language
- awesome-llm-apps
- Python
- MauiSamples
- C#
Adopt for
- awesome-llm-apps
- 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
- MauiSamples provides a comprehensive collection of .NET MAUI sample projects showcasing features like authentication, SQLite integration, Blazor usage, and other UI functionalities.
Persona
- awesome-llm-apps
- -
- MauiSamples
- -
Runtime
- awesome-llm-apps
- -
- MauiSamples
- -
License
- awesome-llm-apps
- 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.
- MauiSamples
- MIT
Last pushed
- awesome-llm-apps
- Aug 3, 2026
- MauiSamples
- Jul 16, 2026
Categories
- awesome-llm-apps
- AI Agents, Data & Retrieval
- MauiSamples
- Developer Tools
Trust and health
Maintenance
- awesome-llm-apps
- Very active (96%)
- MauiSamples
- Active (82%)
Days since push
- awesome-llm-apps
- 4d
- MauiSamples
- 14d
Open issues (now)
- awesome-llm-apps
- 13
- MauiSamples
- 9
Stars delta
- awesome-llm-apps
- +14k (30d)
- MauiSamples
- Unknown
Open issues delta
- awesome-llm-apps
- +6 (30d)
- MauiSamples
- Unknown
Full report
- awesome-llm-apps
- Trust report
- MauiSamples
- Trust report
Shared compatibility
- Cursor · awesome-llm-apps: Works with Cursor · MauiSamples: Works with Cursor
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.
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.
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (VladislavAntonyuk/MauiSamples) · observed Jul 31, 2026
- GitHub forks (VladislavAntonyuk/MauiSamples) · observed Jul 31, 2026
- Last push (VladislavAntonyuk/MauiSamples) · observed Jul 16, 2026
- License file (MIT) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-llm-apps 131k · MauiSamples 914 (synced Aug 7, 2026).
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 and MauiSamples alternatives (awesome-llm-apps markdown twin, MauiSamples markdown twin), 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 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; MauiSamples trust report.