alchemy VS swift

Compare alchemy vs swift and see what are their differences.

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alchemy swift
13 214
324 65,806
0.0% 0.6%
6.8 10.0
7 months ago 4 days ago
Swift C++
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

alchemy

Posts with mentions or reviews of alchemy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-19.

swift

Posts with mentions or reviews of swift. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-06.

What are some alternatives?

When comparing alchemy and swift you can also consider the following projects:

solidity - Solidity, the Smart Contract Programming Language

cpp-lazy - C++11/14/17/20 library for lazy evaluation

Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications

tree-sitter - An incremental parsing system for programming tools

hummingbird - Hummingbird compiles trained ML models into tensor computation for faster inference.

lobster - The Lobster Programming Language

swift-evolution - This maintains proposals for changes and user-visible enhancements to the Swift Programming Language.

mimalloc - mimalloc is a compact general purpose allocator with excellent performance.

Enzyme.jl - Julia bindings for the Enzyme automatic differentiator

sourcekit-lsp - Language Server Protocol implementation for Swift and C-based languages

dioxus - Fullstack GUI library for web, desktop, mobile, and more.

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production