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Redefining Java for modern web, cloud, high-load, and microservices solutions
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What is ActiveJ?

It is an alternative Java platform built from the ground up as a replacement of Spring, Spark, Quarkus, Micronauts, and other solutions. It is minimalistic, boilerplate-free, and incomparably faster, which is proven by benchmarks. It has minimum third-party dependencies, yet features a full stack of technologies with an efficient async programming model and powerful DI library ActiveInject.
ActiveJ is a tool in the Java Tools category of a tech stack.
ActiveJ is an open source tool with 148 GitHub stars and 17 GitHub forks. Here’s a link to ActiveJ's open source repository on GitHub

ActiveJ Integrations

ActiveJ's Features

  • Full stack of unique technologies for lightning-fast and asynchronous web applications with competitive advantage
  • Lightweight and natively scalable async architecture in contrast to Spring and other similar solutions
  • Squeezing the last bits of performance from your hardware, proven by numerous benchmarks
  • It was built from the ground up, so it doesn’t feature tons of abstractions hiding the legacy standards

ActiveJ Alternatives & Comparisons

What are some alternatives to ActiveJ?
Java 8
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.
A library for composing asynchronous and event-based programs by using observable sequences for the Java VM.
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.
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