StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Frameworks
  4. Concurrency Frameworks
  5. GPars vs Orleans

GPars vs Orleans

OverviewComparisonAlternatives

Overview

Orleans
Orleans
Stacks61
Followers126
Votes53
GitHub Stars10.6K
Forks2.1K
GPars
GPars
Stacks2
Followers3
Votes0
GitHub Stars248
Forks60

Orleans vs GPars: What are the differences?

Developers describe Orleans as "An approach to building distributed applications in .NET". 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. On the other hand, GPars is detailed as "An open-source library for high-level concurrency in Groovy". 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.

Orleans and GPars can be primarily classified as "Concurrency Frameworks" tools.

Orleans and GPars are both open source tools. Orleans with 5.43K GitHub stars and 1.31K forks on GitHub appears to be more popular than GPars with 209 GitHub stars and 49 GitHub forks.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Orleans
Orleans
GPars
GPars

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.

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.

Cross-platform; Scalable distributed applications
-
Statistics
GitHub Stars
10.6K
GitHub Stars
248
GitHub Forks
2.1K
GitHub Forks
60
Stacks
61
Stacks
2
Followers
126
Followers
3
Votes
53
Votes
0
Pros & Cons
Pros
  • 6
    Akka.net alternative
  • 6
    Async/Await
  • 5
    Open source
  • 5
    Virtual Actor Model
  • 5
    Scalable
No community feedback yet
Integrations
.NET
.NET
Java
Java
JavaScript
JavaScript
Java Persistence API
Java Persistence API

What are some alternatives to Orleans, GPars?

Akka

Akka

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

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.

Tokio

Tokio

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.

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.

Protoactor

Protoactor

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.

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.

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase