Node.js vs Python vs Ruby

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Node.js

109.2K
88.8K
+ 1
8.3K
Python

131.7K
105.7K
+ 1
6.5K
Ruby

23.3K
14.9K
+ 1
3.9K
Advice on Node.js, Python, and Ruby
Needs advice
on
Python
PHP
and
Node.js

Hi, I have a project on my mind, and I need some help. First of all, I know it is all about personal preference, but I am a beginner in the back-end part. So, I am trying to figure out which language is better, for example, for user authentication and interaction between the users. Also, I don't know which framework is better for this work. My first thought was to use PHP, but after some research on the internet, I'm leaning towards Laravel. I will be grateful if you have some advice for me.

#newbie

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Replies (7)
Recommends
PHP
Node.js

First thoughts: * As a beginner you need to understand concepts first, all languages out there are great, each has it's own philosophy, each is better suited for a specific situation. Learn concepts first, do something, then you will understand the differences between them and why one should be chose over another for a task * As a project manager you want your project to come to an end. You will get lost in all the different solutions out there (and it's good), but don't get lost too far. Very often I see people getting lost in those debates and never achieving things, like someone writing a book that would still be choosing the font 6 months after (we've all done that it's ok, but we have to realise it)

Chances are your project can be equally good on any different stacks. I heard an interview of someone from Uber who said something like they started with python, went to node, went back to python and went to go, and with micro-services now they can have all of them all-together.

Last remark: from what I know Laravel is a framework for PHP, so it IS PHP. Just like Symphony for PHP, Express for Node.js, Koa for Node.js, Flask for Python ...

Now to answer your question :

  • PHP has a big community, it is great and easy to start with, and you will definitely will learn real object oriented structure
  • Node.js has a big community too, don't worry finding help will be as easy. It is less easy to start with but in my point of view it is a lot easier to keep on going with it on a long run. Why ? Because it's very easy to run a new project, and it executes javascript. How is it good ? Because chances are that your front will also be using javascript (React.js / View.js are crazy good). Thanks to that you will be able to master the language better because you will use it all day (and at first mastering one language is more valuable than barely knowing two) and you won't have to switch languages in your head when you code. And communication between front and back will be in json ... Which is crazy close to javascript.

Alexander is right, if you go with PHP take your time first to do things by yourself like building your own MVC, the benefit is huge and the risk is to never really be able to understand what's happening on a deeper level. (at some point you can switch to a framework though). He's also right on choosing a strongly typed language, problem is javascript is not. This is why, if you choose node, when you start being confident, add typesccript.

Hope it helps, good luck

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Octavian Irimia
Recommends
PHP

Short answer, if it's a web project (and I guess it is) go with PHP and you can integrate NodeJs services later.

@adzaria (Ezra Fayet) gave a great answer and I'd like to emphasize the first part: As a beginner you need to understand concepts first. For me that means to understand the web, how servers and requests work, APIs and few others.

Now, I'd like to add few things so, this is the long answer:

Why PHP?

  • Everyone knows about the community - PHP is way older so you will find lots of resources and I am not only talking about learning - also lots of helpful tools and packages
  • PHP is great for OOP - not perfect, but with PHP7 got great - and if you are a beginner you want to know good OOP for your future. Let's say JavaScript's OOP is a bit strange; I will not get into details but, let's say "it's not by the book". You can still learn JavaScript for your front-end

Why not Python? Python got popular because of AI - don't use PHP for AI and don't use Python for web applications. I can elaborate a lot here but I guess you get the point.

Why not NodeJs?

  • NodeJs got popular because of sockets - and it works great, but as a service
  • Try to find a good and affordable hosting for NodeJs. How about for Python?
  • I would not ignore the security issues that it had and could appear. PHP is older and, therefore, wiser :)

Now, about a framework... is this a learning project or something that you need to do fast? My advice is to start a small project and not use any framework. However, you can use packages and inspire from a framework's architecture - Laravel is a good role model.

Why not start a big project? You will get distracted, get into details and product design stuff and get scared or border and abandon it. For your project you need an MVP - list of minimum required features that you put on paper - that you will complete. After that you can improve.

Good luck!

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somes kumar k
Member Technical Staff at Manage Engine, division of Zoho Corp · | 3 upvotes · 115.4K views
Recommends
Node.js

you can choose Node.js Here are my points

Node.js is build over chrome’s v8 and its works on non blocking io. Node.js have huge community and great packages (npm) to help you out in most cases and makes development faster Node.js has been adopted by many multi dollar company Hope this helps😊

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You cannot choose between Python | PHP | NodeJS Since they are entirely for Different purpose.

In Bird view

Python - Large Scale Projects and if you want a job in big IT company.

Node.JS - Huge computing projects and if you want job in Silicon valley startup.

PHP - Cost Effective and If you want start a business in near future.

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Tarun Batra
Back End Developer at instabox · | 2 upvotes · 103.8K views
Recommends
Python
Django

Python, PHP and Node.js all are capable of being used to create good complex software. There are many examples of similar applications built on all of them. If I have to pick one, I would say consider Python and Django. It is fairly easy to develop web applications on top of this stack. Scaling and maintaining the application should also not be a problem given a lot of resources are available online.

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Alexander Santos
Fullstack Developer at 3CON · | 2 upvotes · 111.2K views
Recommends
PHP

The reason why i chose PHP is the amount of content you can find on the internet easily. As you quoted being a beginner, i think a more mature language would be better. And that's also another reason for following with PHP.

Python is simple and "mature", but it can be a bit hard to understand if you are a beginner. Python relies on heavy abstraction, and that's the reason behind it's simplicity. Python is an "easy to play, hard to master" language, i never recommend it to beginners. Also, one [maybe personal] reason why i don't like to use Python as back-end is: Python is very data-focused. So if your app has focus on business logic, Python wouldn't fit very well. And with that becomes an advantage, if your app has statistical focus, being data-focused or something like that, Python has huge advantage among all other languages due to many great tools the community has built.

About Node, it's like PHP, but less mature. It's as easy as PHP to find tools that can help you, for example, to abstract the database-connection's logic. But to find architectural-focused content, more advanced concepts, it's a lot harder. While that, Laravel's community, for example, has a lot of materials that involves those concepts.

Still, if you are really a beginner, i don't recommend using Laravel with PHP. Do things on plain PHP first, understand the reason behind using frameworks and Laravel's motivation.

Also, consider a strong-typed language first, those are considered more didatic, but less flexible.

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Recommends
Python
Django

I have used Laravel, but with Django you can develop faster, as authentication and admin panel are configured out of the box. It users SQLite by default and you won't have to worry about the database in the begginning

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View all (7)
Kamal Makroum
Needs advice
on
React
Python
and
Java

Hi everyone.

I am willing to build a used car sales platform, which will have a lot of stock/photos and will rely a lot on the back end functions and data generating. Java seems to be a good choice, but what other options can I consider that can also be easily scalable as well as a little faster to write?

Thank you

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Replies (2)
Recommends

Firstly, you must know that java and python are both amazing languages. But I recommend python mainly because of the variety of modules and packages available to do almost anything. If you are planning on adding graphs, you can use the matplotlib library and to add photos, use the pillow module. And just note that both of these aren't available by default, so you need to install them through pip.

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Ruslan Rayanov
Recommends

Hi, Kamal! I don't know if your question is still relevant. But I would like to introduce you to our solution, perhaps it will be useful for future projects. We have developed a web application constructor that can be used to create almost any website or application https://falconspace.site/. The entire development stack is reduced to SQL only. The platform is easy to configure and make subsequent changes if necessary.

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Muhammad Shaheer khan
Freelancer at Freelancer.com · | 9 upvotes · 224.2K views
Needs advice
on
Node.js
Magento
and
Django

Currently, I am a university student, and it is my second last semester with a major in Computer science. I want to start my career in full-stack web development. I know Python with Django + PHP with Laravel, and my focus is on learning MERN stack. I am a little bit confused as to which technology I should choose: Django or Magento or MERN stack.

#newbie

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Replies (2)
Recommends
React

I suggest you to go with MERN Stack (Mongo,express,react,Node). As you know python and django which is a plus point because you can use python and node as your backend and for front-end use react(easy to learn) and database of your choice.(Mongo or SQL)

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Moinul Moin
Recommends
Node.js

GO For MERN Stack... brother

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Decisions about Node.js, Python, and Ruby
awesomebanana2018

1. Type safety and inferred types

Go is type safe by default, which allows you to right more reliable code and have better developer tooling, plus with the := operator, you can initialize a variable without having to define its type because it automatically gets its type from the initial value.

2. Performance

There isn't much to be said here, but on most counts go beats both Python and Node.js on performance.

3. Documentation

I'm not talking about the Go language itself, although it does have good docs. I'm talking about Go's auto generated documentation tool, which allows people to document their packages easily and works amazingly with Go's type system.

4. Compiles to binary

If you are making a local program for somebody and they don't want to download the Go compiler, you can make Go into a native binary.

5. Built for the web

Go has built in Http libraries to rival Express.js and has a HTML/Text templating system.

6. Great Concurrency

Go utilizes Goroutines to help developers utilize multiple threads easily.

Conclusion

Go is an excellent choice for any system code, especially http networking and web backends.

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Andrew Carpenter
Chief Software Architect at Xelex Digital, LLC · | 16 upvotes · 152.8K views

In 2015 as Xelex Digital was paving a new technology path, moving from ASP.NET web services and web applications, we knew that we wanted to move to a more modular decoupled base of applications centered around REST APIs.

To that end we spent several months studying API design patterns and decided to use our own adaptation of CRUD, specifically a SCRUD pattern that elevates query params to a more central role via the Search action.

Once we nailed down the API design pattern it was time to decide what language(s) our new APIs would be built upon. Our team has always been driven by the right tool for the job rather than what we know best. That said, in balancing practicality we chose to focus on 3 options that our team had deep experience with and knew the pros and cons of.

For us it came down to C#, JavaScript, and Ruby. At the time we owned our infrastructure, racks in cages, that were all loaded with Windows. We were also at a point that we were using that infrastructure to it's fullest and could not afford additional servers running Linux. That's a long way of saying we decided against Ruby as it doesn't play nice on Windows.

That left us with two options. We went a very unconventional route for deciding between the two. We built MVP APIs on both. The interfaces were identical and interchangeable. What we found was easily quantifiable differences.

We were able to iterate on our Node based APIs much more rapidly than we were our C# APIs. For us this was owed to the community coupled with the extremely dynamic nature of JS. There were tradeoffs we considered, latency was (acceptably) higher on requests to our Node APIs. No strong types to protect us from ourselves, but we've rarely found that to be an issue.

As such we decided to commit resources to our Node APIs and push it out as the core brain of our new system. We haven't looked back since. It has consistently met our needs, scaling with us, getting better with time as continually pour into and expand our capabilities.

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Omran Jamal
CTO & Co-founder at Bonton Connect · | 7 upvotes · 200.7K views

We actually initially wrote a lot of networking code in Kotlin but the complexities involved prompted us to try and compile NodeJS for Android and port over all the networking logic to Node and communicate with node over the Java Native Interface.

This turned out to be a great decision considering our battery usage fell by 40% and rate of development increased by a factor of 2.

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Pros of Node.js
Pros of Python
Pros of Ruby
  • 1.4K
    Npm
  • 1.3K
    Javascript
  • 1.1K
    Great libraries
  • 1K
    High-performance
  • 791
    Open source
  • 480
    Great for apis
  • 471
    Asynchronous
  • 417
    Great community
  • 387
    Great for realtime apps
  • 292
    Great for command line utilities
  • 78
    Node Modules
  • 76
    Websockets
  • 65
    Uber Simple
  • 53
    Great modularity
  • 53
    Allows us to reuse code in the frontend
  • 38
    Easy to start
  • 33
    Great for Data Streaming
  • 29
    Realtime
  • 25
    Awesome
  • 23
    Non blocking IO
  • 16
    Can be used as a proxy
  • 15
    High performance, open source, scalable
  • 14
    Non-blocking and modular
  • 13
    Easy and Fun
  • 12
    Same lang as AngularJS
  • 11
    Easy and powerful
  • 10
    Future of BackEnd
  • 9
    Fast
  • 8
    Scalability
  • 8
    Cross platform
  • 8
    Fullstack
  • 7
    Mean Stack
  • 7
    Simple
  • 5
    Easy concurrency
  • 5
    Great for webapps
  • 5
    React
  • 4
    Friendly
  • 4
    Easy to use and fast and goes well with JSONdb's
  • 4
    Typescript
  • 4
    Fast, simple code and async
  • 3
    Its amazingly fast and scalable
  • 3
    Scalable
  • 3
    Great speed
  • 3
    Fast development
  • 3
    Isomorphic coolness
  • 3
    Control everything
  • 2
    It's fast
  • 2
    Not Python
  • 2
    Blazing fast
  • 2
    One language, end-to-end
  • 2
    TypeScript Support
  • 2
    Easy to learn
  • 2
    Javascript2
  • 2
    Easy to use
  • 2
    Less boilerplate code
  • 2
    Sooper easy for the Backend connectivity
  • 2
    Great community
  • 2
    Scales, fast, simple, great community, npm, express
  • 2
    Performant and fast prototyping
  • 1
    Easy
  • 1
    Lovely
  • 0
    Event Driven
  • 1.1K
    Great libraries
  • 928
    Readable code
  • 817
    Beautiful code
  • 768
    Rapid development
  • 671
    Large community
  • 418
    Open source
  • 379
    Elegant
  • 268
    Great community
  • 261
    Object oriented
  • 209
    Dynamic typing
  • 70
    Great standard library
  • 52
    Very fast
  • 48
    Functional programming
  • 35
    Scientific computing
  • 33
    Easy to learn
  • 30
    Great documentation
  • 25
    Matlab alternative
  • 23
    Productivity
  • 22
    Easy to read
  • 19
    Simple is better than complex
  • 17
    It's the way I think
  • 17
    Imperative
  • 15
    Very programmer and non-programmer friendly
  • 14
    Powerful
  • 14
    Free
  • 13
    Fast and simple
  • 13
    Powerfull language
  • 12
    Scripting
  • 9
    Machine learning support
  • 9
    Explicit is better than implicit
  • 8
    Unlimited power
  • 8
    Ease of development
  • 7
    Import antigravity
  • 7
    Clear and easy and powerfull
  • 6
    It's lean and fun to code
  • 6
    Print "life is short, use python"
  • 5
    Flat is better than nested
  • 5
    Fast coding and good for competitions
  • 5
    There should be one-- and preferably only one --obvious
  • 5
    Python has great libraries for data processing
  • 5
    High Documented language
  • 5
    I love snakes
  • 5
    Although practicality beats purity
  • 5
    Great for tooling
  • 4
    Readability counts
  • 3
    CG industry needs
  • 3
    Beautiful is better than ugly
  • 3
    Multiple Inheritence
  • 3
    Complex is better than complicated
  • 3
    Great for analytics
  • 3
    Socially engaged community
  • 3
    Rapid Prototyping
  • 3
    Lists, tuples, dictionaries
  • 3
    Plotting
  • 2
    Generators
  • 2
    Simple and easy to learn
  • 2
    Import this
  • 2
    No cruft
  • 2
    Easy to learn and use
  • 2
    List comprehensions
  • 2
    Special cases aren't special enough to break the rules
  • 2
    Now is better than never
  • 2
    If the implementation is hard to explain, it's a bad id
  • 2
    If the implementation is easy to explain, it may be a g
  • 1
    Many types of collections
  • 1
    Better outcome
  • 1
    Batteries included
  • 1
    Ys
  • 1
    Good
  • 1
    Pip install everything
  • 1
    Easy to setup and run smooth
  • 1
    Because of Netflix
  • 1
    Flexible and easy
  • 1
    Web scraping
  • 1
    Should START with this but not STICK with This
  • 1
    Powerful language for AI
  • 1
    It is Very easy , simple and will you be love programmi
  • 1
    Only one way to do it
  • 1
    A-to-Z
  • 0
    Pro
  • 0
    Powerful
  • 600
    Programme friendly
  • 533
    Quick to develop
  • 488
    Great community
  • 467
    Productivity
  • 430
    Simplicity
  • 272
    Open source
  • 234
    Meta-programming
  • 203
    Powerful
  • 157
    Blocks
  • 138
    Powerful one-liners
  • 65
    Flexible
  • 56
    Easy to learn
  • 48
    Easy to start
  • 40
    Maintainability
  • 36
    Lambdas
  • 30
    Procs
  • 19
    Diverse web frameworks
  • 19
    Fun to write
  • 11
    Reads like English
  • 8
    Rails
  • 8
    Makes me smarter and happier
  • 7
    Elegant syntax
  • 6
    Very Dynamic
  • 5
    Programmer happiness
  • 5
    Matz
  • 4
    Generally fun but makes you wanna cry sometimes
  • 4
    Fun and useful
  • 3
    Friendly
  • 3
    Object Oriented
  • 3
    There are so many ways to make it do what you want
  • 2
    Easy packaging and modules
  • 2
    Primitive types can be tampered with
  • 2
    Elegant code

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Cons of Node.js
Cons of Python
Cons of Ruby
  • 46
    Bound to a single CPU
  • 40
    New framework every day
  • 34
    Lots of terrible examples on the internet
  • 28
    Asynchronous programming is the worst
  • 22
    Callback
  • 16
    Javascript
  • 11
    Dependency based on GitHub
  • 10
    Dependency hell
  • 10
    Low computational power
  • 7
    Can block whole server easily
  • 6
    Very very Slow
  • 6
    Callback functions may not fire on expected sequence
  • 3
    Unneeded over complication
  • 3
    Unstable
  • 3
    Breaking updates
  • 1
    No standard approach
  • 50
    Still divided between python 2 and python 3
  • 27
    Performance impact
  • 26
    Poor syntax for anonymous functions
  • 19
    Package management is a mess
  • 19
    GIL
  • 13
    Too imperative-oriented
  • 12
    Hard to understand
  • 11
    Dynamic typing
  • 9
    Very slow
  • 8
    Not everything is expression
  • 7
    Explicit self parameter in methods
  • 7
    Indentations matter a lot
  • 6
    Poor DSL capabilities
  • 6
    No anonymous functions
  • 6
    Requires C functions for dynamic modules
  • 5
    Threading
  • 5
    The "lisp style" whitespaces
  • 5
    Hard to obfuscate
  • 4
    Fake object-oriented programming
  • 4
    Incredibly slow
  • 4
    Lack of Syntax Sugar leads to "the pyramid of doom"
  • 4
    The benevolent-dictator-for-life quit
  • 3
    Official documentation is unclear.
  • 3
    Circular import
  • 3
    Not suitable for autocomplete
  • 1
    Training wheels (forced indentation)
  • 1
    Meta classes
  • 7
    Memory hog
  • 7
    Really slow if you're not really careful
  • 3
    Nested Blocks can make code unreadable
  • 2
    Encouraging imperative programming
  • 1
    Ambiguous Syntax, such as function parentheses

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What is 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.

What is Python?

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

What is Ruby?

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

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What are some alternatives to Node.js, Python, and Ruby?
AngularJS
AngularJS lets you write client-side web applications as if you had a smarter browser. It lets you use good old HTML (or HAML, Jade and friends!) as your template language and lets you extend HTML’s syntax to express your application’s components clearly and succinctly. It automatically synchronizes data from your UI (view) with your JavaScript objects (model) through 2-way data binding.
PHP
Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
React
Lots of people use React as the V in MVC. Since React makes no assumptions about the rest of your technology stack, it's easy to try it out on a small feature in an existing project.
Django
Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
See all alternatives
Reviews of Node.js, Python, and Ruby
Founder at Pouch
Review of
Ruby

I taught myself Ruby about a year ago. I had experience with HTML/CSS, MySQL, and a little bit of javascript and python but would consider this my first true programming language I became proficient in (later picked up Swift).

I started with a CodeAcademy course before working on my first Rails project. The language is easy to read and Rails is an amazing framework. The online community is fantastic, the documentation is amazing, and there is no shortage of Ruby Gems which allows you to quickly "cobble" together a new project.

Web Developer, Freelancer
Review of
Node.js

I have benchmarked Node.js and other popular frameworks using a real life application example. You can find the results here: https://medium.com/@mihaigeorge.c/web-rest-api-benchmark-on-a-real-life-application-ebb743a5d7a3

How developers use Node.js, Python, and Ruby
MaxCDN uses
Node.js

We decided to move the provisioning process to an API-driven process, and had to decide among a few implementation languages:

  • Go, the server-side language from Google
  • NodeJS, an asynchronous framework in Javascript

We built prototypes in both languages, and decided on NodeJS:

  • NodeJS is asynchronous-by-default, which suited the problem domain. Provisioning is more like “start the job, let me know when you’re done” than a traditional C-style program that’s CPU-bound and needs low-level efficiency.
  • NodeJS acts as an HTTP-based service, so exposing the API was trivial

Getting into the headspace and internalizing the assumptions of a tool helps pick the right one. NodeJS assumes services will be non-blocking/event-driven and HTTP-accessible, which snapped into our scenario perfectly. The new NodeJS architecture resulted in a staggering 95% reduction in processing time: requests went from 7.5 seconds to under a second.

Exchange rates API uses
Python

Beautiful is better than ugly.

Explicit is better than implicit.

Simple is better than complex.

Complex is better than complicated.

Flat is better than nested.

Sparse is better than dense.

Readability counts.

Special cases aren't special enough to break the rules.

Although practicality beats purity.

Errors should never pass silently.

Unless explicitly silenced.

In the face of ambiguity, refuse the temptation to guess.

There should be one-- and preferably only one --obvious way to do it.

Although that way may not be obvious at first unless you're Dutch.

Now is better than never.

Although never is often better than right now.

If the implementation is hard to explain, it's a bad idea.

If the implementation is easy to explain, it may be a good idea.

Namespaces are one honking great idea -- let's do more of those!

Trello uses
Node.js

The server side of Trello is built in Node.js. We knew we wanted instant propagation of updates, which meant that we needed to be able to hold a lot of open connections, so an event-driven, non-blocking server seemed like a good choice. Node also turned out to be an amazing prototyping tool for a single-page app. The prototype version of the Trello server was really just a library of functions that operated on arrays of Models in the memory of a single Node.js process, and the client simply invoked those functions through a very thin wrapper over a WebSocket. This was a very fast way for us to get started trying things out with Trello and making sure that the design was headed in the right direction. We used the prototype version to manage the development of Trello and other internal projects at Fog Creek.

AngeloR uses
Node.js

All backend code is done in node.js

We have a SOA for our systems. It isn't quite Microservices jsut yet, but it does provide domain encapsulation for our systems allowing the leaderboards to fail without affecting the login or education content.

We've written a few internal modules including a very simple api framework.

I ended up picking Node.js because the game client is entirely in JavaScript as well. This choice made it a lot easier for developers to cross borders between being "client side" game developers and "server side" game developers. It also meant that the pool of knowledge/best practices is applicable almost across the company.

Tony Manso uses
Node.js

Node.js is the foundation for the server. Using Express.js for serving up web content, and sockets.io for synchronizing communications between all clients and the server, the entire game runs as Javascript in Node.js.

I don't know how well this will scale if/when I have hundreds of people connected simultaneously, but I suspect that when that time comes, it may be just a matter of increasing the hardware.

As for why I chose Node.js... I just love JavaScript! My code is all original, meaning that I didn't have to inherit anyone's bad Javascript. I'm perfectly capable of creating my own bad Javascript, thank you! Also, npm rocks!

Tarun Singh uses
Node.js

Used node.js server as backend. Interacts with MongoDB using MongoSkin package which is a wrapper for the MongoDB node.js driver. It uses express for routing and cors package for enabling cors and eyes package for enhancing readability of logs. Also I use nodemon which takes away the effort to restart the server after making changes.

StackShare uses
Ruby

Only thing worth noting here is that we saw some major issues with memory swapping on Heroku with Ruby 2.1.2. We weren’t the only ones. So we actually reverted back to 2.0.0. Here’s what happened: reverting. We’re planning to upgrade to 2.1.4 once we’ve had time to test thoroughly.

benyomin uses
Ruby

When we are comparing Turing complete languages it's not about what compiles faster or to the cleanest machine code, it's about what the developer can think in and write faster, including the availability of libraries. A couple of times I wrote some ruby scripts for this project. I just like the language best for some things. Love the syntax.

Web Dreams uses
Python

To me, this is by far the best programming language. Why? Because it’s the only language that really got me going after trying to get into programming with Java for a while. Python is powerful, easy to learn, and gets you to unsderstand other languages more once you understand it. Did I state I love the python language? Well, I do..

ttandon uses
Python

Backend server for analysis of image samples from iPhone microscope lens. Chose this because of familiarity. The number one thing that I've learned at hackathons is that work exclusively with what you're 100% comfortable with. I use Python extensively at my day job at Wit.ai, so it was the obvious choice for the bulk of my coding.

papaver uses
Python

been a pythoner for around 7 years, maybe longer. quite adept at it, and love using the higher constructs like decorators. was my goto scripting language until i fell in love with clojure. python's also the goto for most vfx studios and great for the machine learning. numpy and pyqt for the win.

SaberEsPoder uses
Ruby

We are primarily a Ruby shop; our main apps are running on Ruby + Rails, our Slack bot is written in Ruby and our smaller projects are on Sinatra. It makes it really easy for us to re-use code and switch between different projects since they are all on the same language.

Tim Lucas uses
Ruby

Because happiness. Testing via RSpec (mostly model and request specs), Factory Girl for fixtures, VCR for testing API responses, timecop, Redcarpet for Markdown rendering, Intercom gem for posting events.

Karma uses
Ruby

Most of our services are written in Ruby. We started out as a Ruby shop, but we're slowly also moving some stuff to Go. We're using Go more and more these days, actually, including some backend services.

Blood Bot uses
Python

Large swaths of resources built for python to achieve natural language processing. (We are in the process of deprecating the services written in python and porting them over to Javascript and node)