Mojo (programming language)

<p>Mojo is a <a href="/facts/Programming_language/cWTYbgWa">programming language</a> in the <a href="/facts/Python_/YbuGqofa">Python</a> family that is currently under development. It is available both in browsers via <a href="/facts/Project_Jupyter/sN94yfV5">Jupyter notebooks</a>, and locally on <a href="/facts/Linux/9FvCKSTq">Linux</a> and <a href="/facts/MacOS/Y93vVpTm">macOS</a>. Mojo aims to combine the usability of a <a href="/facts/High-level_programming_language/smjECUhx">high-level programming language</a>, specifically <a href="/facts/Python_/YbuGqofa">Python</a>, with the performance of a <a href="/facts/System_programming_language/KogoSQVR">system programming language</a> such as <a href="/facts/C%252B%252B/Et0F2qn9">C++</a>, <a href="/facts/Rust_/8JNMV19F">Rust</a>, and <a href="/facts/Zig_/nKAt49pj">Zig</a>. As of February 2025, the Mojo <a href="/facts/Compiler/WNfCDFJe">compiler</a> is closed source with an <a href="/facts/Open_source/7X9rCdz4">open source</a> <a href="/facts/Standard_library/g9QS3vy0">standard library</a>. Modular, the company behind Mojo, has stated an intent to eventually open source the Mojo language, as it matures.
</p><p>Mojo builds on the Multi-Level Intermediate Representation (<a href="/facts/MLIR_(software)/1J4vh2SS">MLIR</a>) compiler <a href="/facts/Software_framework/EWasA8sG">software framework</a>, instead of directly on the lower level <a href="/facts/LLVM/nPmcspQN">LLVM</a> compiler framework like many languages such as <a href="/facts/Julia_/AoB0PJ9C">Julia</a>, <a href="/facts/Swift_/A7qHQC32">Swift</a>, <a href="/facts/Clang/MH7cjC67">Clang</a>, and Rust. MLIR is a newer compiler framework that allows Mojo to exploit higher level compiler passes unavailable in LLVM alone, and allows Mojo to compile down and target more than only <a href="/facts/Central_processing_unit/Jxp1bqMV">central processing units</a> (CPUs), including producing code that can run on <a href="/facts/Graphics_processing_unit/PTK1RQVp">graphics  processing units</a> (GPUs), <a href="/facts/Tensor_Processing_Unit/aVlg0LFF">Tensor Processing Units</a> (TPUs), <a href="/facts/Application-specific_integrated_circuit/YGUXpX50">application-specific integrated circuits</a> (ASICs) and other accelerators. It can also often more effectively use certain types of CPU optimizations directly, like <a href="/facts/Single_instruction%2c_multiple_data/gQHWQSpo">single instruction, multiple data</a> (SIMD) with minor intervention by a developer, as occurs in many other languages. According to <a href="/facts/Jeremy_Howard_(entrepreneur)/PoM1o6DK">Jeremy Howard</a> of fast.ai, Mojo can be seen as "<a href="/facts/Syntactic_sugar/FYkNSdTI">syntax sugar</a> for MLIR" and for that reason Mojo is well optimized for applications like <a href="/facts/Artificial_intelligence/lJGauQwX">artificial intelligence</a> (AI).
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Mojo (programming language) open-in-new

Mojo (programming language)