Alternatives to Jooby logo

Alternatives to Jooby

Spring Boot, Spring, Apache Spark, Ktor, and Micronaut Framework are the most popular alternatives and competitors to Jooby.
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What is Jooby and what are its top alternatives?

It is a scalable and fast micro web framework build on top of the most used NIO web servers. It's very straightforward and modular, clearly designed for the modern day's web architecture. It comes with support for Javascript and Kotlin too.
Jooby is a tool in the Frameworks (Full Stack) category of a tech stack.
Jooby is an open source tool with GitHub stars and GitHub forks. Here’s a link to Jooby's open source repository on GitHub

Top Alternatives to Jooby

  • Spring Boot
    Spring Boot

    Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration. ...

  • Spring
    Spring

    A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments. ...

  • Apache Spark
    Apache Spark

    Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning. ...

  • Ktor
    Ktor

    It is a framework for building asynchronous servers and clients in connected systems using the Kotlin programming language. ...

  • Micronaut Framework
    Micronaut Framework

    It is a modern, JVM-based, full-stack framework for building modular, easily testable microservice and serverless applications. It features a Dependency Injection and Aspect-Oriented Programming runtime that uses no reflection. ...

  • Node.js
    Node.js

    Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices. ...

  • Django
    Django

    Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. ...

  • ASP.NET
    ASP.NET

    .NET is a developer platform made up of tools, programming languages, and libraries for building many different types of applications. ...

Jooby alternatives & related posts

Spring Boot logo

Spring Boot

25.3K
22.9K
1K
Create Spring-powered, production-grade applications and services with absolute minimum fuss
25.3K
22.9K
+ 1
1K
PROS OF SPRING BOOT
  • 149
    Powerful and handy
  • 134
    Easy setup
  • 128
    Java
  • 90
    Spring
  • 85
    Fast
  • 46
    Extensible
  • 37
    Lots of "off the shelf" functionalities
  • 32
    Cloud Solid
  • 26
    Caches well
  • 24
    Productive
  • 24
    Many receipes around for obscure features
  • 23
    Modular
  • 23
    Integrations with most other Java frameworks
  • 22
    Spring ecosystem is great
  • 21
    Auto-configuration
  • 21
    Fast Performance With Microservices
  • 18
    Community
  • 17
    Easy setup, Community Support, Solid for ERP apps
  • 15
    One-stop shop
  • 14
    Easy to parallelize
  • 14
    Cross-platform
  • 13
    Easy setup, good for build erp systems, well documented
  • 13
    Powerful 3rd party libraries and frameworks
  • 12
    Easy setup, Git Integration
  • 5
    It's so easier to start a project on spring
  • 4
    Kotlin
  • 1
    Microservice and Reactive Programming
  • 1
    The ability to integrate with the open source ecosystem
CONS OF SPRING BOOT
  • 23
    Heavy weight
  • 18
    Annotation ceremony
  • 13
    Java
  • 11
    Many config files needed
  • 5
    Reactive
  • 4
    Excellent tools for cloud hosting, since 5.x
  • 1
    Java 😒😒

related Spring Boot posts

Praveen Mooli
Engineering Manager at Taylor and Francis · | 18 upvotes · 3.8M views

We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.

To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas

To build #Webapps we decided to use Angular 2 with RxJS

#Devops - GitHub , Travis CI , Terraform , Docker , Serverless

See more

Is learning Spring and Spring Boot for web apps back-end development is still relevant in 2021? Feel free to share your views with comparison to Django/Node.js/ ExpressJS or other frameworks.

Please share some good beginner resources to start learning about spring/spring boot framework to build the web apps.

See more
Spring logo

Spring

3.9K
4.7K
1.1K
Provides a comprehensive programming and configuration model for modern Java-based enterprise applications
3.9K
4.7K
+ 1
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PROS OF SPRING
  • 230
    Java
  • 157
    Open source
  • 136
    Great community
  • 123
    Very powerful
  • 114
    Enterprise
  • 64
    Lot of great subprojects
  • 60
    Easy setup
  • 44
    Convention , configuration, done
  • 40
    Standard
  • 31
    Love the logic
  • 13
    Good documentation
  • 11
    Dependency injection
  • 11
    Stability
  • 9
    MVC
  • 6
    Easy
  • 3
    Makes the hard stuff fun & the easy stuff automatic
  • 3
    Strong typing
  • 2
    Code maintenance
  • 2
    Best practices
  • 2
    Maven
  • 2
    Great Desgin
  • 2
    Easy Integration with Spring Security
  • 2
    Integrations with most other Java frameworks
  • 1
    Java has more support and more libraries
  • 1
    Supports vast databases
  • 1
    Large ecosystem with seamless integration
  • 1
    OracleDb integration
  • 1
    Live project
CONS OF SPRING
  • 15
    Draws you into its own ecosystem and bloat
  • 3
    Verbose configuration
  • 3
    Poor documentation
  • 3
    Java
  • 2
    Java is more verbose language in compare to python

related Spring posts

Is learning Spring and Spring Boot for web apps back-end development is still relevant in 2021? Feel free to share your views with comparison to Django/Node.js/ ExpressJS or other frameworks.

Please share some good beginner resources to start learning about spring/spring boot framework to build the web apps.

See more

I am consulting for a company that wants to move its current CubeCart e-commerce site to another PHP based platform like PrestaShop or Magento. I was interested in alternatives that utilize Node.js as the primary platform. I currently don't know PHP, but I have done full stack dev with Java, Spring, Thymeleaf, etc.. I am just unsure that learning a set of technologies not commonly used makes sense. For example, in PrestaShop, I would need to work with JavaScript better and learn PHP, Twig, and Bootstrap. It seems more cumbersome than a Node JS system, where the language syntax stays the same for the full stack. I am looking for thoughts and advice on the relevance of PHP skillset into the future AND whether the Node based e-commerce open source options can compete with Magento or Prestashop.

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Apache Spark logo

Apache Spark

3K
3.5K
140
Fast and general engine for large-scale data processing
3K
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+ 1
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PROS OF APACHE SPARK
  • 61
    Open-source
  • 48
    Fast and Flexible
  • 8
    One platform for every big data problem
  • 8
    Great for distributed SQL like applications
  • 6
    Easy to install and to use
  • 3
    Works well for most Datascience usecases
  • 2
    Interactive Query
  • 2
    Machine learning libratimery, Streaming in real
  • 2
    In memory Computation
CONS OF APACHE SPARK
  • 4
    Speed

related Apache Spark posts

Eric Colson
Chief Algorithms Officer at Stitch Fix · | 21 upvotes · 6.1M views

The algorithms and data infrastructure at Stitch Fix is housed in #AWS. Data acquisition is split between events flowing through Kafka, and periodic snapshots of PostgreSQL DBs. We store data in an Amazon S3 based data warehouse. Apache Spark on Yarn is our tool of choice for data movement and #ETL. Because our storage layer (s3) is decoupled from our processing layer, we are able to scale our compute environment very elastically. We have several semi-permanent, autoscaling Yarn clusters running to serve our data processing needs. While the bulk of our compute infrastructure is dedicated to algorithmic processing, we also implemented Presto for adhoc queries and dashboards.

Beyond data movement and ETL, most #ML centric jobs (e.g. model training and execution) run in a similarly elastic environment as containers running Python and R code on Amazon EC2 Container Service clusters. The execution of batch jobs on top of ECS is managed by Flotilla, a service we built in house and open sourced (see https://github.com/stitchfix/flotilla-os).

At Stitch Fix, algorithmic integrations are pervasive across the business. We have dozens of data products actively integrated systems. That requires serving layer that is robust, agile, flexible, and allows for self-service. Models produced on Flotilla are packaged for deployment in production using Khan, another framework we've developed internally. Khan provides our data scientists the ability to quickly productionize those models they've developed with open source frameworks in Python 3 (e.g. PyTorch, sklearn), by automatically packaging them as Docker containers and deploying to Amazon ECS. This provides our data scientist a one-click method of getting from their algorithms to production. We then integrate those deployments into a service mesh, which allows us to A/B test various implementations in our product.

For more info:

#DataScience #DataStack #Data

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Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 7 upvotes · 2.9M views

Why we built Marmaray, an open source generic data ingestion and dispersal framework and library for Apache Hadoop :

Built and designed by our Hadoop Platform team, Marmaray is a plug-in-based framework built on top of the Hadoop ecosystem. Users can add support to ingest data from any source and disperse to any sink leveraging the use of Apache Spark . The name, Marmaray, comes from a tunnel in Turkey connecting Europe and Asia. Similarly, we envisioned Marmaray within Uber as a pipeline connecting data from any source to any sink depending on customer preference:

https://eng.uber.com/marmaray-hadoop-ingestion-open-source/

(Direct GitHub repo: https://github.com/uber/marmaray Kafka Kafka Manager )

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Ktor logo

Ktor

162
325
24
Framework for quickly creating connected applications in Kotlin
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325
+ 1
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PROS OF KTOR
  • 8
    Simple & Small
  • 7
    Kotlin native
  • 6
    Light weight
  • 3
    High performance
CONS OF KTOR
  • 2
    Not self-explanatory: relies on Kotlin "magic"
  • 2
    Relatively fresh technology - not a lot of expertise

related Ktor posts

Manoj M
Shared insights
on
KtorKtorExpressJSExpressJS

We are going to develop a Carrier Advisor Application based on the AI And ML predictions. for this which backed language (ExpressJS or Ktor) is better to use?

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Micronaut Framework logo

Micronaut Framework

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A JVM-based full-stack framework
180
324
+ 1
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PROS OF MICRONAUT FRAMEWORK
  • 12
    Compilable to machine code
  • 8
    Tiny memory footprint
  • 7
    Open source
  • 7
    Almost instantaneous startup
  • 6
    Tiny compiled code size
  • 4
    High Escalability
  • 2
    Minimal overhead
  • 2
    Hasn't Servlet API
  • 2
    Simplified reactive programming
  • 1
    Serverless support
  • 1
    Jakarta EE
CONS OF MICRONAUT FRAMEWORK
  • 3
    No hot reload

related Micronaut Framework posts

Node.js logo

Node.js

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A platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
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PROS OF NODE.JS
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    Npm
  • 1.3K
    Javascript
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    Great libraries
  • 1K
    High-performance
  • 805
    Open source
  • 486
    Great for apis
  • 477
    Asynchronous
  • 423
    Great community
  • 390
    Great for realtime apps
  • 296
    Great for command line utilities
  • 84
    Websockets
  • 83
    Node Modules
  • 69
    Uber Simple
  • 59
    Great modularity
  • 58
    Allows us to reuse code in the frontend
  • 42
    Easy to start
  • 35
    Great for Data Streaming
  • 32
    Realtime
  • 28
    Awesome
  • 25
    Non blocking IO
  • 18
    Can be used as a proxy
  • 17
    High performance, open source, scalable
  • 16
    Non-blocking and modular
  • 15
    Easy and Fun
  • 14
    Easy and powerful
  • 13
    Future of BackEnd
  • 13
    Same lang as AngularJS
  • 12
    Fullstack
  • 11
    Fast
  • 10
    Scalability
  • 10
    Cross platform
  • 9
    Simple
  • 8
    Mean Stack
  • 7
    Great for webapps
  • 7
    Easy concurrency
  • 6
    Typescript
  • 6
    Fast, simple code and async
  • 6
    React
  • 6
    Friendly
  • 5
    Control everything
  • 5
    Its amazingly fast and scalable
  • 5
    Easy to use and fast and goes well with JSONdb's
  • 5
    Scalable
  • 5
    Great speed
  • 5
    Fast development
  • 4
    It's fast
  • 4
    Easy to use
  • 4
    Isomorphic coolness
  • 3
    Great community
  • 3
    Not Python
  • 3
    Sooper easy for the Backend connectivity
  • 3
    TypeScript Support
  • 3
    Blazing fast
  • 3
    Performant and fast prototyping
  • 3
    Easy to learn
  • 3
    Easy
  • 3
    Scales, fast, simple, great community, npm, express
  • 3
    One language, end-to-end
  • 3
    Less boilerplate code
  • 2
    Npm i ape-updating
  • 2
    Event Driven
  • 2
    Lovely
  • 1
    Creat for apis
  • 0
    Node
CONS OF NODE.JS
  • 46
    Bound to a single CPU
  • 45
    New framework every day
  • 40
    Lots of terrible examples on the internet
  • 33
    Asynchronous programming is the worst
  • 24
    Callback
  • 19
    Javascript
  • 11
    Dependency based on GitHub
  • 11
    Dependency hell
  • 10
    Low computational power
  • 7
    Can block whole server easily
  • 7
    Callback functions may not fire on expected sequence
  • 7
    Very very Slow
  • 4
    Breaking updates
  • 4
    Unstable
  • 3
    No standard approach
  • 3
    Unneeded over complication
  • 1
    Can't read server session
  • 1
    Bad transitive dependency management

related Node.js posts

Nick Rockwell
SVP, Engineering at Fastly · | 46 upvotes · 3.2M views

When I joined NYT there was already broad dissatisfaction with the LAMP (Linux Apache HTTP Server MySQL PHP) Stack and the front end framework, in particular. So, I wasn't passing judgment on it. I mean, LAMP's fine, you can do good work in LAMP. It's a little dated at this point, but it's not ... I didn't want to rip it out for its own sake, but everyone else was like, "We don't like this, it's really inflexible." And I remember from being outside the company when that was called MIT FIVE when it had launched. And been observing it from the outside, and I was like, you guys took so long to do that and you did it so carefully, and yet you're not happy with your decisions. Why is that? That was more the impetus. If we're going to do this again, how are we going to do it in a way that we're gonna get a better result?

So we're moving quickly away from LAMP, I would say. So, right now, the new front end is React based and using Apollo. And we've been in a long, protracted, gradual rollout of the core experiences.

React is now talking to GraphQL as a primary API. There's a Node.js back end, to the front end, which is mainly for server-side rendering, as well.

Behind there, the main repository for the GraphQL server is a big table repository, that we call Bodega because it's a convenience store. And that reads off of a Kafka pipeline.

See more
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 9.5M views

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:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

See more
Django logo

Django

37.1K
33.3K
4.2K
The Web framework for perfectionists with deadlines
37.1K
33.3K
+ 1
4.2K
PROS OF DJANGO
  • 670
    Rapid development
  • 487
    Open source
  • 424
    Great community
  • 379
    Easy to learn
  • 276
    Mvc
  • 232
    Beautiful code
  • 223
    Elegant
  • 206
    Free
  • 203
    Great packages
  • 194
    Great libraries
  • 79
    Restful
  • 79
    Comes with auth and crud admin panel
  • 78
    Powerful
  • 75
    Great documentation
  • 71
    Great for web
  • 57
    Python
  • 43
    Great orm
  • 41
    Great for api
  • 32
    All included
  • 28
    Fast
  • 25
    Web Apps
  • 23
    Easy setup
  • 23
    Clean
  • 21
    Used by top startups
  • 19
    Sexy
  • 19
    ORM
  • 15
    The Django community
  • 14
    Allows for very rapid development with great libraries
  • 14
    Convention over configuration
  • 11
    King of backend world
  • 10
    Full stack
  • 10
    Great MVC and templating engine
  • 8
    Fast prototyping
  • 8
    Mvt
  • 7
    Easy to develop end to end AI Models
  • 7
    Batteries included
  • 7
    Its elegant and practical
  • 6
    Have not found anything that it can't do
  • 6
    Very quick to get something up and running
  • 6
    Cross-Platform
  • 5
    Easy Structure , useful inbuilt library
  • 5
    Great peformance
  • 5
    Zero code burden to change databases
  • 5
    Python community
  • 4
    Map
  • 4
    Just the right level of abstraction
  • 4
    Easy to change database manager
  • 4
    Modular
  • 4
    Many libraries
  • 4
    Easy to use
  • 4
    Easy
  • 4
    Full-Text Search
  • 3
    Scaffold
  • 1
    Fastapi
  • 1
    Built in common security
  • 1
    Scalable
  • 1
    Great default admin panel
  • 1
    Node js
  • 1
    Gigante ta
  • 0
    Rails
CONS OF DJANGO
  • 26
    Underpowered templating
  • 22
    Autoreload restarts whole server
  • 22
    Underpowered ORM
  • 15
    URL dispatcher ignores HTTP method
  • 10
    Internal subcomponents coupling
  • 8
    Not nodejs
  • 8
    Configuration hell
  • 7
    Admin
  • 5
    Not as clean and nice documentation like Laravel
  • 4
    Python
  • 3
    Not typed
  • 3
    Bloated admin panel included
  • 2
    Overwhelming folder structure
  • 2
    InEffective Multithreading
  • 1
    Not type safe

related Django posts

Dmitry Mukhin
Engineer at Uploadcare · | 25 upvotes · 2.4M views

Simple controls over complex technologies, as we put it, wouldn't be possible without neat UIs for our user areas including start page, dashboard, settings, and docs.

Initially, there was Django. Back in 2011, considering our Python-centric approach, that was the best choice. Later, we realized we needed to iterate on our website more quickly. And this led us to detaching Django from our front end. That was when we decided to build an SPA.

For building user interfaces, we're currently using React as it provided the fastest rendering back when we were building our toolkit. It’s worth mentioning Uploadcare is not a front-end-focused SPA: we aren’t running at high levels of complexity. If it were, we’d go with Ember.js.

However, there's a chance we will shift to the faster Preact, with its motto of using as little code as possible, and because it makes more use of browser APIs. One of our future tasks for our front end is to configure our Webpack bundler to split up the code for different site sections. For styles, we use PostCSS along with its plugins such as cssnano which minifies all the code.

All that allows us to provide a great user experience and quickly implement changes where they are needed with as little code as possible.

See more

Hey, so I developed a basic application with Python. But to use it, you need a python interpreter. I want to add a GUI to make it more appealing. What should I choose to develop a GUI? I have very basic skills in front end development (CSS, JavaScript). I am fluent in python. I'm looking for a tool that is easy to use and doesn't require too much code knowledge. I have recently tried out Flask, but it is kinda complicated. Should I stick with it, move to Django, or is there another nice framework to use?

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ASP.NET logo

ASP.NET

30.5K
11.3K
40
An open source web framework for building modern web apps and services with .NET
30.5K
11.3K
+ 1
40
PROS OF ASP.NET
  • 21
    Great mvc
  • 13
    Easy to learn
  • 6
    C#
CONS OF ASP.NET
  • 2
    Entity framework is very slow
  • 1
    C#
  • 1
    Not highly flexible for advance Developers

related ASP.NET posts

Greg Neumann
Indie, Solo, Developer · | 8 upvotes · 1.4M views

Finding the most effective dev stack for a solo developer. Over the past year, I've been looking at many tech stacks that would be 'best' for me, as a solo, indie, developer to deliver a desktop app (Windows & Mac) plus mobile - iOS mainly. Initially, Xamarin started to stand-out. Using .NET Core as the run-time, Xamarin as the native API provider and Xamarin Forms for the UI seemed to solve all issues. But, the cracks soon started to appear. Xamarin Forms is mobile only; the Windows incarnation is different. There is no Mac UI solution (you have to code it natively in Mac OS Storyboard. I was also worried how Xamarin Forms , if I was to use it, was going to cope, in future, with Apple's new SwiftUI and Google's new Fuchsia.

This plethora of techs for the UI-layer made me reach for the safer waters of using Web-techs for the UI. Lovely! Consistency everywhere (well, mostly). But that consistency evaporates when platform issues are addressed. There are so many web frameworks!

But, I made a simple decision. It's just me...I am clever, but there is no army of coders here. And I have big plans for a business app. How could just 1 developer go-on to deploy a decent app to Windows, iPhone, iPad & Mac OS? I remembered earlier days when I've used Microsoft's ASP.NET to scaffold - generate - loads of Code for a web-app that I needed for several charities that I worked with. What 'generators' exist that do a lot of the platform-specific rubbish, allow the necessary customisation of such platform integration and provide a decent UI?

I've placed my colours to the Quasar Framework mast. Oh dear, that means Electron desktop apps doesn't it? Well, Ive had enough of loads of Developers saying that "the menus won't look native" or "it uses too much RAM" and so on. I've been using non-native UI-wrapped apps for ages - the date picker in Outlook on iOS is way better than the native date-picker and I'd been using it for years without getting hot under the collar about it. Developers do get so hung-up on things that busy Users hardly notice; don't you think?. As to the RAM usage issue; that's a bit true. But Users only really notice when an app uses so much RAM that the machine starts to page-out. Electron contributes towards that horizon but does not cause it. My Users will be business-users after all. Somewhat decent machines.

Looking forward to all that lovely Vue.js around my TypeScript and all those really, really, b e a u t I f u l UI controls of Quasar Framework . Still not sure that 1 dev can deliver all that... but I'm up for trying...

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Shared insights
on
ASP.NETASP.NETPostgreSQLPostgreSQLLaravelLaravel

I am looking for a new framework to learn and achieve more efficient development. I come mainly from Laravel, which greatly simplifies development, but is somewhat slow for the volumes of data that I usually handle (although very stable) and it falls far behind in terms of simultaneous connections.

I'm looking for something that responds well to high concurrency, adapts well to server resources (cores) without the need to be concerned about consciously multi-threading or similar things, has a good ORM and friendly integration with PostgreSQL, request validation, And of course, it is scalable.

The main use would be for API development and behind the scenes processing of large volumes of data (50M on average, although this goes hand in hand with the database and server capacity)..

The last framework I would include but couldn't is ASP.NET MVC.

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