pingcrm-masonite
swift
| pingcrm-masonite | swift | |
|---|---|---|
| 1 | 217 | |
| 4 | 66,003 | |
| - | 0.5% | |
| 10.0 | 10.0 | |
| almost 3 years ago | 2 days ago | |
| Vue | C++ | |
| MIT License | Apache License 2.0 |
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.
pingcrm-masonite
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Why I selected Elixir and Phoenix as my main stack
Inertia requires an adapter for each backend framework. This repo contains the Masonite server-side adapter for Inertia.js You can find the legacy Inertia PingCRM demo with Masonite here demo (WIP).
swift
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Swift's native Clocks are inefficient
https://github.com/apple/swift/pull/73429
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Evolving the Go Standard Library with math/rand/v2
This algorithm produces biased result with probability 1/2^(32-bitwidth(N)). Using 64 or 128 random bits can make the bias practically undetectable. Comprehensive overview of the approach can be found here: https://github.com/apple/swift/pull/39143
- Swift: Differentiable Programming Manifesto
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Embedded Swift on the Raspberry Pi Pico
Because of C/C++ interop, and integration with CMake, you can just add Swift to a Zephyr project and it pretty much Just Works. [The docs](https://github.com/apple/swift/blob/main/docs/EmbeddedSwift/...) should mostly apply to the Zephyr SDK as well.
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A Deep Dive Into Observation: A New Way to Boost SwiftUI Performance
Fortunately, the Observation framework is part of the Swift 5.9 standard library. We can learn more information by examining its source code.
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Swift was always going to be part of the OS
They do! See https://github.com/apple/swift/blob/main/docs/LibraryEvoluti...
You can also see an example of what a different high level language integration with Swift ABI looks like here: https://github.com/dotnet/designs/blob/main/proposed/swift-i...
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Differentiable Swift
So is differentiable Swift a package for Swift or is it part of the Swift standard library? The video says go to swift.org but I can't find any info about differentiable Swift on that site.
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Beyond Backpropagation - Higher Order, Forward and Reverse-mode Automatic Differentiation for Tensorken
Swift's Differentiable Programming Manifesto. Swift has a powerful differentiable programming component, integrated with the compiler.
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Kotlin Multiplatform for Android and iOS Apps
You can do the same thing the other way around - https://github.com/apple/swift/blob/main/docs/Android.md.
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This isn’t the way to speed up Rust compile times
Codable (along with other derived conformances like Equatable, Hashable, and RawRepresentable) is indeed built in to the compiler[0], but unlike Serde, it operates during type-checking on a fully-constructed AST (with access to type information), manipulating the AST to insert code. Because it operates at a later stage of compilation and at a much higher level (with access to type information), the work necessary is significantly less.
With ongoing work for Swift macros, it may eventually be possible to rip this code out of the compiler and rewrite it as a macro, though it would need to be a semantic macro[1] rather a syntactic one, which isn't currently possible in Swift[2].
[0] https://github.com/apple/swift/blob/main/lib/Sema/DerivedCon...
What are some alternatives?
Spring Boot - Spring Boot
solidity - Solidity, the Smart Contract Programming Language
inertia_phoenix - Inertiajs Adapter for Elixir Phoenix
cpp-lazy - C++11/14/17/20 library for lazy evaluation
ProcessWire - ProcessWire 3.x is a friendly and powerful open source CMS with a strong API.
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
fastify - Fast and low overhead web framework, for Node.js
tree-sitter - An incremental parsing system for programming tools
Svelte - Cybernetically enhanced web apps
hummingbird - Hummingbird compiles trained ML models into tensor computation for faster inference.
Django - The Web framework for perfectionists with deadlines.
lobster - The Lobster Programming Language