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  1. Stackups
  2. Application & Data
  3. Frameworks
  4. Concurrency Frameworks
  5. Protoactor vs Tokio

Protoactor vs Tokio

OverviewComparisonAlternatives

Overview

Tokio
Tokio
Stacks114
Followers34
Votes0
GitHub Stars30.1K
Forks2.8K
Protoactor
Protoactor
Stacks8
Followers9
Votes0

Protoactor vs Tokio: What are the differences?

<Protoactor vs. Tokio - Key Differences>

  1. Concurrency Model: Protoactor utilizes the actor model for concurrency, allowing isolated entities to communicate via message passing, while Tokio is based on the Reactor pattern, which facilitates non-blocking I/O operations.

  2. Programming Language: Protoactor is primarily designed for C# language and closely resembles the Akka actor model in Scala, whereas Tokio is focused on Rust programming language, offering asynchronous I/O operations using futures and streams.

  3. Community Support and Ecosystem: Tokio has gained popularity in the Rust community with a strong ecosystem, libraries, and documentation, while Protoactor, although well-structured, may have a smaller user base and fewer third-party resources.

  4. Performance and Scalability: Tokio is known for its high performance and scalability, utilizing asynchronous event-driven programming to handle many connections efficiently, compared to Protoactor, which may have some performance limitations depending on the use case.

  5. Error Handling and Fault Tolerance: Protoactor provides built-in support for error handling and fault tolerance mechanisms within the actor system, while Tokio leans more towards explicit error handling and management using Rust's ownership and borrowing system.

  6. Use Cases and Applications: Protoactor is suitable for building distributed systems and microservices within the C# ecosystem, while Tokio is preferred for building high-performance network applications, web servers, and other I/O-bound software in Rust.

In Summary, Protoactor and Tokio differ in their concurrency models, programming languages, community support, performance, error handling, and use cases, catering to distinct needs within the software development landscape.

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Detailed Comparison

Tokio
Tokio
Protoactor
Protoactor

It is an open source library providing an asynchronous, event driven platform for building fast, reliable, and lightweight network applications. It leverages Rust's ownership and concurrency model to ensure thread safety.

It is a Next generation Actor Model framework. It introduces "Actor Standard Protocol", a predefined contract of base primitives which can be consumed by different language implementations. This is a game changer in the field of actor systems, you are now free to pick and choose languages for your different actor based microservices in a way never seen before.

Zero-cost abstractions; Concurrency; Ownership and type system; No garbage collector; Non-blocking I/O
Simple Concurrency & Distribution; Extreme Performance; Resilient by Design; Built on standards
Statistics
GitHub Stars
30.1K
GitHub Stars
-
GitHub Forks
2.8K
GitHub Forks
-
Stacks
114
Stacks
8
Followers
34
Followers
9
Votes
0
Votes
0
Integrations
Rust
Rust
.NET
.NET
Golang
Golang
Java
Java
Kotlin
Kotlin

What are some alternatives to Tokio, Protoactor?

Akka

Akka

Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.

Orleans

Orleans

Orleans is a framework that provides a straightforward approach to building distributed high-scale computing applications, without the need to learn and apply complex concurrency or other scaling patterns. It was created by Microsoft Research and designed for use in the cloud.

RxJS

RxJS

RxJS is a library for reactive programming using Observables, to make it easier to compose asynchronous or callback-based code. This project is a rewrite of Reactive-Extensions/RxJS with better performance, better modularity, better debuggable call stacks, while staying mostly backwards compatible, with some breaking changes that reduce the API surface.

Netty

Netty

Netty is a NIO client server framework which enables quick and easy development of network applications such as protocol servers and clients. It greatly simplifies and streamlines network programming such as TCP and UDP socket server.

Finagle

Finagle

Finagle is an extensible RPC system for the JVM, used to construct high-concurrency servers. Finagle implements uniform client and server APIs for several protocols, and is designed for high performance and concurrency.

Redux Observable

Redux Observable

It allows developers to dispatch a function that returns an observable, promise or iterable of action(s). Compose and cancel async actions to create side effects and more.

ZIO

ZIO

It is a type-safe composable asynchronous and concurrent programming library for Scala that is based on pure functional programming.

Conc

Conc

It is your toolbelt for structured concurrency in go, making common tasks easier and safer. It handles panics gracefully and makes concurrent code easier to read.

GPars

GPars

It is an open-source concurrency/parallelism library for Java and Groovy that gives you a number of high-level abstractions to write good logic.

Scramjet

Scramjet

Scramjet is a fast, simple, free and open source functional reactive stream programming framework written on top of node.js streams with multi-threadding support. The code is written by chaining functions that transform data easily with ES7 async/await syntax. It is built upon the logic behind three well known javascript array operations: map, filter and reduce. Scramjet transforms are so standard and natural that we're sure you can start writing your code straight away.

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