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Xojo VS llama.cpp

Compare Xojo VS llama.cpp and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Xojo logo Xojo

Real Software and Real Studio are now Xojo.

llama.cpp logo llama.cpp

LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
  • Xojo Landing page
    Landing page //
    2021-07-28
Not present

Xojo features and specs

  • Cross-Platform Development
    Xojo allows users to create native applications for multiple platforms including Windows, macOS, Linux, iOS, and the web from a single codebase. This simplifies development and reduces the effort required to maintain different versions of the same app.
  • Rapid Application Development
    The Visual IDE (Integrated Development Environment) provided by Xojo enables rapid prototyping and development. Users can drag and drop UI elements, which makes it easy to create complex user interfaces quickly.
  • Versatile Language Support
    Xojo uses a unique language that combines elements from various programming languages. It is straightforward enough for beginners to pick up while still being powerful for more advanced tasks.
  • Active Community and Support
    Xojo has a vibrant community and offers various forms of support, including forums, documentation, and dedicated customer service. This can be very beneficial for troubleshooting and learning best practices.
  • Regular Updates
    The platform receives frequent updates, which include new features, bug fixes, and improvements. This ensures that developers have access to the latest tools and functionalities.

Possible disadvantages of Xojo

  • Performance Limitations
    While Xojo is powerful for developing various applications, it may not be the best choice for highly performance-intensive applications, particularly those requiring extensive optimization.
  • Licensing Costs
    Xojo's licensing model can be considered expensive, especially for individual developers or small teams. The cost may be a barrier for some users considering long-term use.
  • Limited Third-Party Integrations
    Compared to more widely-adopted development platforms, Xojo has fewer third-party libraries and integrations. This limitation can make it harder to extend the platform with additional functionalities.
  • Learning Curve
    Despite its simplicity, there is still a learning curve associated with mastering Xojo, especially for developers accustomed to more conventional programming languages. This may require additional time and resources for training.
  • Less Popular
    Xojo is not as widely used as some other development platforms, which means there are fewer resources, tutorials, and third-party tools available. This could be a limiting factor for some developers.

llama.cpp features and specs

  • Performance
    llama.cpp is designed to run efficiently on a wide range of hardware, from high-end GPUs to more modest CPUs, making it highly adaptable and performant in various environments.
  • Portability
    The codebase is lightweight and can be compiled across different operating systems including Linux, macOS, and Windows, ensuring wide accessibility and ease of deployment.
  • Ease of Use
    The repository provides comprehensive documentation and examples, making it easier for developers to integrate and utilize the library in their projects.
  • Community Support
    Being an open-source project, llama.cpp benefits from community contributions, which help in its continuous improvement and maintenance.
  • Flexibility
    It allows developers to customize and extend the functionality to better fit specific use cases or integrate with other tools and systems.

Possible disadvantages of llama.cpp

  • Limited Features
    Compared to some other machine learning libraries or frameworks, llama.cpp may have fewer out-of-the-box features, requiring more custom development for certain applications.
  • Complexity for Beginners
    Despite good documentation, users without a solid background in machine learning or programming may find it difficult to fully utilize the libraryโ€™s capabilities.
  • Scalability
    While llama.cpp is designed to be performant, scaling it for very large datasets or extensive tasks might require significant optimization or additional resources.
  • Dependency Management
    As with many open-source projects, managing dependencies and ensuring compatibility with evolving third-party libraries can be challenging.

Analysis of Xojo

Overall verdict

  • Xojo can be a good choice for individuals and small businesses looking to develop cross-platform applications quickly without deep programming expertise. However, for more complex projects or those requiring extensive customization, other more robust languages and environments might be more suitable.

Why this product is good

  • Xojo is an integrated development environment (IDE) and programming language known for its simplicity and ability to target multiple platforms including macOS, Windows, Linux, web, iOS, and Raspberry Pi. It is appreciated for its ease of use, especially for beginners and those who need to rapidly prototype applications.

Recommended for

  • Beginners in programming
  • Small businesses looking for rapid application development
  • Developers needing to create prototypes quickly
  • Users wanting to deploy applications across multiple platforms with minimal coding

Analysis of llama.cpp

Overall verdict

  • llama.cpp is an excellent, high-performance open-source project that has become the de facto standard for running large language models locally on consumer hardware with minimal dependencies.

Why this product is good

  • Written in efficient C/C++ with no heavy dependencies, enabling fast inference even on CPUs
  • Supports GGUF quantization allowing large models to run on limited RAM and modest hardware
  • Cross-platform support including Windows, macOS, Linux, and even mobile and embedded devices
  • Hardware acceleration via CUDA, Metal, Vulkan, ROCm, and more
  • Extremely active community and rapid development with frequent updates and broad model support
  • Free and open-source under the MIT license, with a large ecosystem of tools and bindings built around it

Recommended for

  • Developers wanting to run LLMs locally without cloud dependencies
  • Privacy-conscious users who need offline inference
  • Hobbyists and researchers experimenting with quantized models on consumer hardware
  • Applications requiring lightweight, embeddable LLM inference
  • Users with limited GPU resources who need efficient CPU-based inference

Xojo videos

+ Add

Try Xojo

More videos:

  • Review - What is Xojo?
  • Review - Xojo 2020 with Geoff Perlman

llama.cpp videos

+ Add

Local AI just leveled up... Llama.cpp vs Ollama

More videos:

  • Review - AMD Mi50 32GB Speed Test: Ollama vs Llama.cpp (GPT-OSS & Qwen3 Benchmarks)
  • Review - Ollama vs VLLM vs Llama.cpp: Best Local AI Runner in 2026?

Category Popularity

0-100% (relative to Xojo and llama.cpp)

Xojo

llama.cpp

IDE
100 100%
IDE
0% 0
AI
0 0%
AI
100% 100
Text Editors
100 100%
Text Editors
0% 0
LLM
0 0%
LLM
100% 100

User comments

Share your experience with using Xojo and llama.cpp. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Xojo and llama.cpp

Xojo Reviews

12 Best Frameworks and Toolkits to Build Desktop Applications
If you are looking for a beginner-friendly framework, Xojo can be a good option. It is a cross-platform application development framework with a simple drag-and-drop user interface. Developers with basic web development skills can easily use this platform to build desktop applications.
Source: geekflare.com
Frameworks & Tools to Develop Cross-Platform Desktop Apps โ€“ Best of
Xojo is a programming environment available for Windows, Mac OS X and Linux. With its Xojo IDE, it provides an easy-to-use, drag-and-drop UI builder, and its own language for coding your application. The IDE also allows testing the app immediately, and when itโ€™s ready, it converts this app to run on multiple platforms.
Source: www.hongkiat.com

llama.cpp Reviews

We have no reviews of llama.cpp yet.
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Social recommendations and mentions

Based on our record, llama.cpp should be more popular than Xojo. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Xojo mentions (6)

  • Ask HN: What Toolchains Are People Using for Desktop App Development in 2025?
    I have used Xojo before and it is great. It is REALbasic rebranded and has been around for three decades. I used it years ago to write a LIMS interface (pre-Web 2.0). You can download the IDE and use it for free for Linux and Raspberry Pi projects. https://xojo.com. - Source: Hacker News / 12 months ago
  • PysimpleGUI
    Xojo is basically VB6's spiritual successor. https://xojo.com/. - Source: Hacker News / over 2 years ago
  • Ask HN: Why did Visual Basic die?
    For anyone looking for a modern alternative to Visual Basic, you might want to take a look at Xojo. Xojo's a rapid application development platform (both a language and an IDE) that you can use to develop desktop apps (for macOS, Windows, Linux), Web apps, mobile apps (for iOS and Android), as well as console apps. It's been around for more than 20 years, and some of you might remember it from back when it was... - Source: Hacker News / almost 3 years ago
  • Small Visual Basic
    I really recommend Xojo[1] (formally RealBasic). Itโ€™s like a modern VB6 but runs on macOS, Windows and many flavours of Linux. It has very polished drag and drop UI editor. Iโ€™ve been developing with it for over 20 years and my 10 year old daughter is now learning programming with it. You can create and debug apps for free and only need a license to deploy an app as a binary so itโ€™s ideal to learn with. Heck, it... - Source: Hacker News / over 3 years ago
  • Do any of you code with/on steno?
    I have yet to get into actual programming, but when I do, it will probably be with the multi-platform programming environment called XoJo. Source: almost 4 years ago
View more

llama.cpp mentions (13)

  • Ask HN: How close are we to local LLM models being useful? What's the impact?
    A good place to browse is the LocalLLaMa subreddit. [0] A good software to start is LM Studio [1]. Another popular alternative is Ollama [2]. A better software when you're used to it all is llama.cpp as it's usually a bit faster and more frequently updated [3]. A good place to get models is HuggingFace, particularly the Unsloth models [4] Most popular models lately to run on "regular" gaming PC's, workstations,... - Source: Hacker News / 28 days ago
  • llama-bench skipped FA on capable GPUs โ€” b9437 corrects it
    Yes, for a local source build: pull the latest commit from ggml-org/llama.cpp and recompile. Tagged binary releases lag the continuous builds. Check the GitHub releases page for a pre-built artifact if you want to skip compilation, but verify the build number includes the b9437 changes before treating it as current. - Source: dev.to / about 1 month ago
  • Introducing LlamaStash: a zero-overhead, terminal-native llama.cpp launcher
    That script grew up. Today I'm releasing LlamaStash, the first public release of a fast, cross-platform, terminal-native launcher for llama.cpp with zero overhead. - Source: dev.to / about 2 months ago
  • How fast is LlamaStash? Overhead, throughput, and a fair comparison with Ollama and LM Studio
    LlamaStash spawns the unmodified upstream llama-server. So three different questions follow from that, and there is a benchmark suite for each. - Source: dev.to / about 2 months ago
  • Why MTP doesn't speed up your llama.cpp inference (and how to actually fix it)
    Last week, I spent two days banging my head against a wall. I had just spun up a fresh llama.cpp build with multi-token prediction (MTP) support, loaded a quantized Qwen3 model, and ran my benchmark suite expecting that sweet 2-3x speedup everyone keeps talking about. - Source: dev.to / 2 months ago
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What are some alternatives?

When comparing Xojo and llama.cpp, you can also consider the following products

PureBasic - Fantaisie Software Official WebSite. PureBasic - Feel The Pure Power. PureBasic is a programming language based on established BASIC rules.

LM Studio - Discover, download, and run local LLMs

B4X - Cross platform development tools for native iOS, Android, desktop and server applications.

Ollama - The easiest way to run large language models locally

Flutter - Build beautiful native apps in record time ๐Ÿš€

Ava PLS - Desktop app for running LLMs locally

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