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Mojo

AKA MojoπŸ”₯

Summary

Mojo is a programming language that combines Python's usability with systems programming performance. It provides the best of both worlds with Python syntax and C++/Rust performance characteristics.

Paradigms

imperative, procedural, object-oriented, functional, concurrent, generic, meta-programming

Domains

artificial intelligence, scientific computing, data science, high-performance computing, systems programming

Key Features

zero-cost abstractions, first-class functions, modules, generics, native FFI, ownership system

Typing

static system, non-structural typing, strong typing, partial inference, compile-time checking, conservative type coercion, optional type annotations

Compilation

compiled, interpreted with JIT compilation

Ratings

Startup time
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Computation speed
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Compilation speed
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Maturity
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Community size
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Learning resources
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Job market demand
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Learning curve
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Cognitive load
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Syntax complexity
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Semantic complexity
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Memory safety
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Concurrency ease of use
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Std lib maturity
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Std lib size
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Backwards compatibility
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File extensions

mojo, πŸ”₯

External Links

Status active
Type programming
Created 2023
Designed by Chris Lattner
Tim Davis
Developed by Modular Inc.
PyPL Index N/A
TIOBE Index #51-100
GitHub rank N/A

Code Example

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