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  5. Hyper vs Tokio

Hyper vs Tokio

OverviewComparisonAlternatives

Overview

Hyper
Hyper
Stacks299
Followers79
Votes0
Tokio
Tokio
Stacks114
Followers34
Votes0
GitHub Stars30.1K
Forks2.8K

Hyper vs Tokio: What are the differences?

Introduction

In this analysis, we will discuss the key differences between Hyper and Tokio, two popular libraries used for building network-based applications in Rust.

  1. Handling of Connections: Hyper is primarily focused on providing an HTTP implementation and abstracts away the details of handling connections. It delegates this responsibility to the underlying runtime, such as Tokio. On the other hand, Tokio is a low-level asynchronous runtime that provides a powerful set of tools for building asynchronous and concurrent applications, including network I/O. It allows for fine-grained control over connections and supports different protocols beyond HTTP.

  2. Concurrency Model: Hyper uses a synchronous API style, providing blocking calls that may block the execution of the program until a response is received. This can be useful for simpler use cases and enables easy integration with synchronous code. On the contrary, Tokio follows an asynchronous programming model, leveraging asynchronous I/O and non-blocking calls. This allows for higher performance and scalability, as it allows handling multiple connections concurrently without blocking the execution of other tasks.

  3. Development Status: Hyper is more mature and stable compared to Tokio. It has a longer history and is widely used in the Rust community. Its latest stable release offers a solid foundation for building HTTP-based applications. On the other hand, Tokio is actively developed and provides cutting-edge features and performance improvements. Its development pace is faster, but it may introduce breaking changes more frequently. Therefore, depending on the project requirements, one might choose the stability of Hyper or the latest features of Tokio.

  4. Resource Usage: Hyper utilizes one thread per connection, leading to potentially high thread overhead when dealing with a large number of connections. It may become a bottleneck in scenarios with frequent connections or high concurrency requirements. In contrast, Tokio uses an event-driven, non-blocking architecture combined with a small number of threads managed by its runtime. This enables efficient handling of a large number of connections with low resource usage, making it suitable for highly scalable applications.

  5. Ecosystem and Community Support: Hyper benefits from a larger ecosystem and community support due to its longer presence in the Rust ecosystem. It has a wide range of available middleware, extensions, and frameworks built on top of it. Tokio, being a powerful runtime, also has a growing ecosystem, but it might have fewer libraries or extensions specifically tailored for network applications compared to Hyper. This might influence the availability and maturity of certain features or integrations.

  6. Learning Curve: When it comes to the learning curve, Hyper is relatively simpler to start with due to its higher-level abstractions and more straightforward API. It has clear documentation and a larger number of examples available. On the other hand, Tokio requires a deeper understanding of asynchronous programming concepts and Rust's async/await syntax. It might have a steeper learning curve for beginners, but it provides more flexibility and control over the application's execution flow once mastered.

In Summary, Hyper and Tokio offer different approaches for building network-based applications in Rust. Hyper focuses on HTTP and provides higher-level abstractions, while Tokio brings a powerful asynchronous runtime for building more complex and scalable applications that extend beyond HTTP. The choice between the two libraries depends on the specific requirements of the project, including the desired concurrency model, resource usage, community support, and learning curve considerations.

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Detailed Comparison

Hyper
Hyper
Tokio
Tokio

Hyper.sh is a secure container hosting service. What makes it different from AWS (Amazon Web Services) is that you don't start servers, but start docker images directly from Docker Hub or other registries.

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.

Hyper is able to launch instances in sub-second. Also, Hyper requires the minimal resource footprint: ~12MB mem;Hyper is immune from the "shared kernel" problem in container;Hyper is hypervisor agnostic;Hyper eliminates the need of Guest OS;Virtualization is mature. Features like LiveMigration, SDN, SDS have been battle-tested for years
Zero-cost abstractions; Concurrency; Ownership and type system; No garbage collector; Non-blocking I/O
Statistics
GitHub Stars
-
GitHub Stars
30.1K
GitHub Forks
-
GitHub Forks
2.8K
Stacks
299
Stacks
114
Followers
79
Followers
34
Votes
0
Votes
0
Integrations
GitLab CI
GitLab CI
Docker
Docker
Jenkins
Jenkins
Quay.io
Quay.io
Buildbot
Buildbot
Rust
Rust

What are some alternatives to Hyper, Tokio?

Amazon EC2 Container Service

Amazon EC2 Container Service

Amazon EC2 Container Service lets you launch and stop container-enabled applications with simple API calls, allows you to query the state of your cluster from a centralized service, and gives you access to many familiar Amazon EC2 features like security groups, EBS volumes and IAM roles.

Akka

Akka

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

Google Kubernetes Engine

Google Kubernetes Engine

Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management.

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.

Containerum

Containerum

Containerum is built to aid cluster management, teamwork and resource allocation. Containerum runs on top of any Kubernetes cluster and provides a friendly Web UI for cluster management.

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.

Azure Container Service

Azure Container Service

Azure Container Service optimizes the configuration of popular open source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, the number of hosts, and choice of orchestrator tools, and Container Service handles everything else.

Docker Cloud

Docker Cloud

Docker Cloud is the best way to deploy and manage Dockerized applications. Docker Cloud makes it easy for new Docker users to manage and deploy the full spectrum of applications, from single container apps to distributed microservices stacks, to any cloud or on-premises infrastructure.

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.

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