Mojo

The Mojo language is still young, and the Mojo standard library, compiler, and runtime are not yet available for local development, so we've created a hosted development environment where you can try it out. We call it the Mojo Playground! To provide the best possible experience, the Mojo Playground currently supports a limited number of people. We plan to scale up quickly so that everyone can access it over time. The Mojo programming language is designed to be fully compatible with the Project Jupyter ecosystem. It is not yet fully source-compatible with Python code, offering only a subset of its syntax, such as missing keyword arguments for functions, the global keyword, and list and dictionary comprehensions. Additionally, Mojo adds features to support high-performance low-level programming: "fn" for creating typed, compiled functions, "struct" for memory-optimized alternatives to classes. Structs in Mojo are similar to Python classes: they both support methods, fields, operator overloading, and decorators for metaprogramming. Mojo can call existing Python 3.x code by reusing the CPython runtime. Modular plans to add integrations to transparently import Clang C/C++ modules and transparently generate foreign function interfaces between C/C++ and Mojo. Mojo has a borrow checker, influenced by Rust, which differs from Python at this point. Mojo is a new programming language that bridges the gap between research and production by combining the best of Python syntax with systems programming and metaprogramming.

Mojo is a new programming language combining Python's syntax with system programming and metaprogramming capabilities, aiming to bridge the gap between AI research and production while delivering superior GPU and CPU performance.