---
title: "ai-getting-started vs MauiSamples"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/a16z-infra-ai-getting-started-vs-vladislavantonyuk-mauisamples"
tools: ["a16z-infra-ai-getting-started", "vladislavantonyuk-mauisamples"]
---

# ai-getting-started vs MauiSamples

*GraphCanon updated Sep 30, 2026*

## Verdict

Pick ai-getting-started if ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations; 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.

[ai-getting-started](https://ai-getting-started.com/) reports 4.1k GitHub stars, 659 forks, and 16 open issues, last pushed Aug 21, 2024. [MauiSamples](https://vladislavantonyuk.azurewebsites.net/articles?categoryName=.NET%20MAUI/Xamarin) has 915 stars, 213 forks, and 9 open issues, last pushed Jul 16, 2026. Figures are from public GitHub metadata via [ai-getting-started's repository](https://github.com/a16z-infra/ai-getting-started) and [MauiSamples's repository](https://github.com/VladislavAntonyuk/MauiSamples).

| | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [MauiSamples](/tools/vladislavantonyuk-mauisamples.md) |
| --- | --- | --- |
| Tagline | A Javascript AI getting started stack for weekend projects | .NET MAUI Samples |
| Stars | 4,142 | 915 |
| Forks | 659 | 213 |
| Open issues | 16 | 9 |
| Language | TypeScript | C# |
| Adopt for | ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations. | 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 | MIT | MIT |
| Categories | Developer Tools, Model Training, Vector Databases | Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [MauiSamples](/tools/vladislavantonyuk-mauisamples.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Steady (60%) |
| Days since push | 759d | 65d |
| Open issues (now) | 16 | 9 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/a16z-infra-ai-getting-started/trust.md) | [trust report](/tools/vladislavantonyuk-mauisamples/trust.md) |

## Decision facts: ai-getting-started

- **Adopt for:** ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations.

## 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 ai-getting-started if…

- ai-getting-started is primarily TypeScript; MauiSamples is C#.
- Tags unique to ai-getting-started: deployment, image models, javascript, text models.
- Also covers Model Training, Vector Databases.
- ai-getting-started ships Docker support for self-hosted deployment.
- * Use this tool if you are already familiar with or prefer working in TypeScript and want an easy entry point into AI project development.

### Choose MauiSamples if…

- MauiSamples is primarily C#; ai-getting-started is TypeScript.
- Tags unique to MauiSamples: azure, blazor, dotnet, dotnet-maui.
- For developers seeking to quickly get started with practical implementations of .NET MAUI features

## When NOT to use ai-getting-started

- * If your focus is on developing large-scale, production-level applications, this tool may not offer the necessary scalability features.
- * Not suitable if you require highly customized vector stores or specific AI model training environments beyond what the package provides as it focuses more on a general setup.

## 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 ai-getting-started and MauiSamples?

ai-getting-started: A Javascript AI getting started stack for weekend projects. MauiSamples: .NET MAUI Samples. See the comparison table for live GitHub stats and shared categories.

### When should I choose ai-getting-started over MauiSamples?

Choose ai-getting-started over MauiSamples when ai-getting-started is primarily TypeScript; MauiSamples is C#; Tags unique to ai-getting-started: deployment, image models, javascript, text models; Also covers Model Training, Vector Databases; ai-getting-started ships Docker support for self-hosted deployment; * Use this tool if you are already familiar with or prefer working in TypeScript and want an easy entry point into AI project development.

### When should I choose MauiSamples over ai-getting-started?

Choose MauiSamples over ai-getting-started when MauiSamples is primarily C#; ai-getting-started is TypeScript; Tags unique to MauiSamples: azure, blazor, dotnet, dotnet-maui; For developers seeking to quickly get started with practical implementations of .NET MAUI features.

### When should I avoid ai-getting-started?

* If your focus is on developing large-scale, production-level applications, this tool may not offer the necessary scalability features. * Not suitable if you require highly customized vector stores or specific AI model training environments beyond what the package provides as it focuses more on a general setup.

### 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 ai-getting-started or MauiSamples more popular on GitHub?

ai-getting-started has more GitHub stars (4,142 vs 915). Stars measure visibility, not whether either tool fits your constraints.

### Are ai-getting-started and MauiSamples open source?

Yes - both are open-source projects on GitHub (ai-getting-started: MIT, MauiSamples: MIT).

### Where can I find alternatives to ai-getting-started or MauiSamples?

GraphCanon lists graph-backed alternatives at [ai-getting-started alternatives](/tools/a16z-infra-ai-getting-started/alternatives) and [MauiSamples alternatives](/tools/vladislavantonyuk-mauisamples/alternatives) ([ai-getting-started markdown twin](/tools/a16z-infra-ai-getting-started/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/a16z-infra-ai-getting-started-vs-vladislavantonyuk-mauisamples.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, ai-getting-started or MauiSamples?

ai-getting-started: Dormant. MauiSamples: 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 ai-getting-started and MauiSamples?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-getting-started trust report](/tools/a16z-infra-ai-getting-started/trust); [MauiSamples trust report](/tools/vladislavantonyuk-mauisamples/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=a16z-infra-ai-getting-started`](/api/graphcanon/graph?tool=a16z-infra-ai-getting-started)
- 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/_
