mojo_comments
mojo
mojo_comments | mojo | |
---|---|---|
1 | 20 | |
5 | 21,519 | |
- | 19.2% | |
6.0 | 9.9 | |
7 months ago | 4 days ago | |
Mojo | ||
- | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mojo_comments
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Mojo is now available on Mac
I tried it out and compared it to C++ at the last release. Here was what I found: https://github.com/dsharlet/mojo_comments
Some of the issues I pointed out there are pretty low hanging fruit for LLVM, so they may have improved a lot in more current releases.
mojo
- The Mojo Programming Language
- Mojo language goes open source
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The Mojo programming language has changed its version numbering. Release v24.1.1
https://github.com/modularml/mojo/blob/main/LICENSE Is this not it?
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Dada, an Experiement by the Creators of Rust
Interesting, but the intent seems similar to Chris Lattner's new Mojo language which arguably has similar characteristics and is further along in its development.
https://docs.modular.com/mojo/
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Mojo - A New Programming Language for AI
Mojo is a programming language that combines the performance and control inherent in systems languages like C++ and Rust with the flexibility and simplicity of use typical of dynamic languages like Python. Because of its combination of performance, extensibility, and usability, its design makes it possible to construct high-performance systems, which makes it a good option for AI development.
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Mojo is now available on Mac
If you take a look at the optimized Mojo code doing the matrix multiply [1], it takes an expert to understand. It’s not just some simple for-loops in Mojo they’re comparing against.
[1] https://github.com/modularml/mojo/blob/5ce18c47a27c0c4123de1...
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Programming Languages Every Developer Should Watch Out For
Mojo truly unlocks a world of possibilities in high-performance computing.
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A Gentle Introduction to Liquid Types
For a concrete example of Liquid Haskell, see how Gabriella Gonzalez safely removed bound checks of high-performance protocol parsing, in "Scrap your Bounds Checks with Liquid Haskell" [1].
With Liquid Haskell, the bound checks are moved from runtime to compile time, semi-automatically handled by SMT-solvers. With static types, programmers can write correct programs faster, and the programs also run faster.
As an aside, speeding up programs with static analysis (constrained dynamism) are also present in Mojo (a variant of Python) or Swift [2].
[1]: https://github.com/Gabriella439/slides/blob/main/liquidhaske... "Scrap your Bounds Checks with Liquid Haskell"
[2]: https://github.com/modularml/mojo/discussions/466 "Mojo and Dynamism"
- Mojo and Dynamism
What are some alternatives?
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
Flask - The Python micro framework for building web applications.
Coconut - Simple, elegant, Pythonic functional programming.
node - Node.js JavaScript runtime ✨🐢🚀✨
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
go - The Go programming language
nimpy - Nim - Python bridge
CPython - The Python programming language
Laravel - Laravel is a web application framework with expressive, elegant syntax. We’ve already laid the foundation for your next big idea — freeing you to create without sweating the small things.
mdbootstrap - React 18 & Bootstrap 5 & Material Design 2.0 UI KIT
PHPT - The PHP Interpreter
quickserv - Dangerously user-friendly web server for quick prototyping and hackathons