What is Tokio and what are its top alternatives?
Top Alternatives to 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 a simple, pragmatic and extremely fast web framework for Rust. Actors are objects which encapsulate state and behavior, they communicate exclusively by exchanging messages. ...
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. ...
Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM. ...
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 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. ...
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. ...
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. ...
Tokio alternatives & related posts
related Hyper posts
- Really really really fast3
- Open source1
- Very safe1
- Lots of unsafe code2
related Actix posts
- Easier async data chaining and combining4
- Steep learning curve, but offers predictable operations3
- Easier testing2
- Ability to build your own stream2
- Works great with any state management implementation2
- Simplifies state management1
- Great for push based architecture1
- Observable subjects1
- Lot of build-in operators1
- Steep learning curve3
related RxJS posts
- Great concurrency model31
- Actor Library11
- Open source10
- Message driven5
- Mixing futures with Akka tell is difficult3
- Closing of futures2
- No type safety2
- Typed actors still not stable1
- Very difficult to refactor0
related Akka posts
To solve the problem of scheduling and executing arbitrary tasks in its distributed infrastructure, PagerDuty created an open-source tool called Scheduler. Scheduler is written in Scala and uses Cassandra for task persistence. It also adds Apache Kafka to handle task queuing and partitioning, with Akka to structure the library’s concurrency.
The service’s logic schedules a task by passing it to the Scheduler’s Scala API, which serializes the task metadata and enqueues it into Kafka. Scheduler then consumes the tasks, and posts them to Cassandra to prevent data loss.
- High Performance7
- Easy to use3
- Just like it3
- Limited resources to learn from1
related Netty posts
- Open Source3
related Finagle posts
related Redux Observable posts
- Akka.net alternative4
- Open source3
- Distributed high-scale computing applications3
- Distributed ACID Transactions2
- Cross Platform2
- Distributed Locking2
- Virtual Actor Model2