What is RxJava and what are its top alternatives?
Top Alternatives to RxJava
Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere! ...
Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM. ...
It enables central communication to decoupled classes with just a few lines of code – simplifying the code, removing dependencies, and speeding up app development. ...
Flow is an online collaboration platform that makes it easy for people to create, organize, discuss, and accomplish tasks with anyone, anytime, anywhere. By merging a sleek, intuitive interface with powerful functionality, we're out to revolutionize the way the world's productive teams get things done. ...
It is a revolutionary release of the world’s no 1 development platform. It includes a huge upgrade to the Java programming model and a coordinated evolution of the JVM, Java language, and libraries. Java 8 includes features for productivity, ease of use, improved polyglot programming, security and improved performance. ...
The Guava project contains several of Google's core libraries that we rely on in our Java-based projects: collections, caching, primitives support, concurrency libraries, common annotations, string processing, I/O, and so forth. ...
It is a modern server-side Java template engine for both web and standalone environments. It is aimed at creating elegant web code while adding powerful features and retaining prototyping abilities. ...
It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot. ...
RxJava alternatives & related posts
- Great libraries576
- Widely used436
- Excellent tooling396
- Huge amount of documentation available380
- Large pool of developers available329
- Open source198
- Excellent performance195
- Great development151
- Used for android144
- Vast array of 3rd party libraries144
- Compiled Language54
- Used for Web46
- Managed memory43
- Native threads42
- High Performance41
- Statically typed36
- Easy to read32
- Great Community30
- Reliable platform26
- Sturdy garbage collection23
- JVM compatibility23
- Cross Platform Enterprise Integration19
- Universal platform18
- Good amount of APIs16
- Great Support16
- Lots of boilerplate11
- Backward compatible10
- Great ecosystem10
- Excellent SDK - JDK7
- Mature language thus stable systems6
- Better than Ruby5
- Static typing5
- It's Java5
- Vast Collections Library4
- Long term language4
- Old tech4
- Stable platform, which many new languages depend on3
- Most developers favorite3
- Great Structure3
- Used for Android development3
- Best martial for design3
- Overcomplexity is praised in community culture15
- Nightmare to Write14
- Boiler plate code10
- Classpath hell prior to Java 98
- No REPL6
- No property4
- Code are too long2
- There is not optional parameter2
- Floating-point errors2
- Terrbible compared to Python/Batch Perormence1
- Java's too statically, stronglly, and strictly typed1
- Non-intuitive generic implementation1
- Returning Wildcard Types1
related Java posts
How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:
Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.
Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:
- Great concurrency model29
- Actor Library10
- Open source9
- 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.
related EventBus posts
- Great for collaboration6
- Easy to use6
related Flow posts
related Java 8 posts
- Interface Driven API5
- Easy to setup1
related guava posts
- Its delicous1
related Thymeleaf posts
I need some advice to choose an engine for generation web pages from the Spring Boot app. Which technology is the best solution today? 1) JSP + JSTL 2) Apache FreeMarker 3) Thymeleaf Or you can suggest even other perspective tools. I am using Spring Boot, Spring Web, Spring Data, Spring Security, PostgreSQL, Apache Tomcat in my project. I have already tried to generate pages using jsp, jstl, and it went well. However, I had huge problems via carrying already created static pages, to jsp format, because of syntax. Thanks.
- Open source7
- Fast startup7
- Integrated with GraalVM7
- Low memory footprint6
- Produce native code5
- AOT compilation4
- Hot Reload3
- Boilerplate code when using Reflection1
related Quarkus posts
We use Quarkus with native compilation in GraalVM for our global REST-API "Charon", that can be used by every developer to request user, server and game-data (protected through OAuth2). Quarkus offers a reliable framework, library and stack for high-quality APIs and integrates Vert.x into its core.
GraalVM pushes the performance boundaries even further with the ability to perform ahead-of-time native compilation so we can reach an incredible small memory-footprint and fast bootup-times that we need for our microservices architecture.