Распиши на русском более понятно:
LuaJIT, a Just-In-Time (JIT) compiler for the Lua programming language, is known for its high performance and lightweight design. However, it lacks several features that are present in other programming languages, which can limit its applicability in certain domains. This analysis will explore some of these features, drawing on various programming paradigms and technologies.

One significant aspect that LuaJIT does not support is advanced type systems found in languages like Rust or Haskell. These languages incorporate strong, static typing, which allows for more robust compile-time checks and can prevent many runtime errors. For instance, Rust’s ownership model and borrowing system provide memory safety without a garbage collector, a feature that LuaJIT lacks. This strong type system can lead to safer code and more efficient memory management, which is particularly beneficial in systems programming and concurrent applications.

Moreover, LuaJIT does not provide built-in support for functional programming paradigms that are prevalent in languages like Scala or F#. These languages offer features such as first-class functions, higher-order functions, and immutability, which facilitate a functional programming style that can lead to clearer and more maintainable code. In contrast, LuaJIT primarily supports imperative programming, which may not be as expressive or flexible for certain applications, particularly those that benefit from a functional approach.

Another notable absence in LuaJIT is the lack of multi-language interoperability features that are increasingly common in modern programming environments. For example, GraalVM allows for seamless execution of code written in multiple languages, such as JavaScript, Python, and Ruby, within the same runtime environment. This capability enables developers to leverage libraries and frameworks from different languages, enhancing productivity and code reuse. LuaJIT, while performant, does not natively support such cross-language capabilities, which can be a significant limitation in multi-language projects.

Additionally, LuaJIT lacks advanced concurrency models found in languages like Go, which features goroutines and channels for managing concurrent operations. Go's concurrency model simplifies the development of concurrent applications, making it easier to write safe and efficient concurrent code. LuaJIT’s coroutine model is less powerful and can lead to more complex code when dealing with concurrency, as it does not provide the same level of abstraction and ease of use.

In terms of tooling and ecosystem, LuaJIT also falls short compared to languages like Python or Java, which have extensive libraries and frameworks that facilitate rapid development and deployment of applications. For instance, Python’s rich ecosystem includes frameworks for web development (Django, Flask), data science (Pandas, NumPy), and machine learning (TensorFlow, PyTorch), which are not available in the Lua ecosystem. This lack of comprehensive libraries can hinder the adoption of LuaJIT in fields where such tools are essential.

In summary, while LuaJIT excels in performance and simplicity, it lacks several advanced features found in other programming languages, including strong type systems, functional programming support, multi-language interoperability, advanced concurrency models, and a rich ecosystem of libraries and frameworks. These limitations can restrict its use in more complex applications or in environments where such features are critical for development efficiency and code safety.