Alternatives to Yesod logo

Alternatives to Yesod

Django, NGINX, Rails, Node.js, and Elm are the most popular alternatives and competitors to Yesod.
37
41
+ 1
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What is Yesod and what are its top alternatives?

Yesod believes in the philosophy of making the compiler your ally, not your enemy. We use the type system to enforce as much as possible, from generating proper links, to avoiding XSS attacks, to dealing with character encoding issues. In general, if your code compiles, it works. And instead of declaring types everywhere you let the compiler figure them out for you with type inference.
Yesod is a tool in the Frameworks (Full Stack) category of a tech stack.
Yesod is an open source tool with 2.7K GitHub stars and 374 GitHub forks. Here’s a link to Yesod's open source repository on GitHub

Top Alternatives to Yesod

  • Django
    Django

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

  • NGINX
    NGINX

    nginx [engine x] is an HTTP and reverse proxy server, as well as a mail proxy server, written by Igor Sysoev. According to Netcraft nginx served or proxied 30.46% of the top million busiest sites in Jan 2018. ...

  • Rails
    Rails

    Rails is a web-application framework that includes everything needed to create database-backed web applications according to the Model-View-Controller (MVC) pattern. ...

  • 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. ...

  • Elm
    Elm

    Writing HTML apps is super easy with elm-lang/html. Not only does it render extremely fast, it also quietly guides you towards well-architected code. ...

  • JavaScript
    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. ...

  • Python
    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. ...

  • HTML5
    HTML5

    HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997. ...

Yesod alternatives & related posts

Django logo

Django

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The Web framework for perfectionists with deadlines
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4.2K
PROS OF DJANGO
  • 673
    Rapid development
  • 487
    Open source
  • 425
    Great community
  • 379
    Easy to learn
  • 277
    Mvc
  • 232
    Beautiful code
  • 223
    Elegant
  • 208
    Free
  • 203
    Great packages
  • 194
    Great libraries
  • 80
    Comes with auth and crud admin panel
  • 79
    Restful
  • 78
    Powerful
  • 76
    Great documentation
  • 72
    Great for web
  • 57
    Python
  • 43
    Great orm
  • 41
    Great for api
  • 32
    All included
  • 29
    Fast
  • 25
    Web Apps
  • 23
    Clean
  • 23
    Easy setup
  • 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
    Mvt
  • 8
    Fast prototyping
  • 7
    Its elegant and practical
  • 7
    Easy to develop end to end AI Models
  • 7
    Batteries included
  • 6
    Cross-Platform
  • 6
    Very quick to get something up and running
  • 6
    Have not found anything that it can't do
  • 5
    Zero code burden to change databases
  • 5
    Great peformance
  • 5
    Python community
  • 5
    Easy Structure , useful inbuilt library
  • 4
    Easy to use
  • 4
    Map
  • 4
    Easy to change database manager
  • 4
    Full-Text Search
  • 4
    Just the right level of abstraction
  • 4
    Many libraries
  • 4
    Modular
  • 4
    Easy
  • 3
    Scaffold
  • 1
    Node js
  • 1
    Built in common security
  • 1
    Great default admin panel
  • 1
    Scalable
  • 1
    Gigante ta
  • 1
    Cons
  • 1
    Fastapi
  • 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

Shared insights
on
TensorFlowTensorFlowDjangoDjangoPythonPython

Hi, I have an LMS application, currently developed in Python-Django.

It works all very well, students can view their classes and submit exams, but I have noticed that some students are sharing exam answers with other students and let's say they already have a model of the exams.

I want with the help of artificial intelligence, the exams to have different questions and in a different order for each student, what technology should I learn to develop something like this? I am a Python-Django developer but my focus is on web development, I have never touched anything from A.I.

What do you think about TensorFlow?

Please, I would appreciate all your ideas and opinions, thank you very much in advance.

See more
Dmitry Mukhin
Engineer at Uploadcare · | 25 upvotes · 2.6M 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
NGINX logo

NGINX

114.2K
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A high performance free open source web server powering busiest sites on the Internet.
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5.5K
PROS OF NGINX
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    High-performance http server
  • 894
    Performance
  • 730
    Easy to configure
  • 607
    Open source
  • 530
    Load balancer
  • 289
    Free
  • 288
    Scalability
  • 226
    Web server
  • 175
    Simplicity
  • 136
    Easy setup
  • 30
    Content caching
  • 21
    Web Accelerator
  • 15
    Capability
  • 14
    Fast
  • 12
    High-latency
  • 12
    Predictability
  • 8
    Reverse Proxy
  • 7
    Supports http/2
  • 7
    The best of them
  • 5
    Great Community
  • 5
    Lots of Modules
  • 5
    Enterprise version
  • 4
    High perfomance proxy server
  • 3
    Embedded Lua scripting
  • 3
    Streaming media delivery
  • 3
    Streaming media
  • 3
    Reversy Proxy
  • 2
    Blash
  • 2
    GRPC-Web
  • 2
    Lightweight
  • 2
    Fast and easy to set up
  • 2
    Slim
  • 2
    saltstack
  • 1
    Virtual hosting
  • 1
    Narrow focus. Easy to configure. Fast
  • 1
    Along with Redis Cache its the Most superior
  • 1
    Ingress controller
CONS OF NGINX
  • 10
    Advanced features require subscription

related NGINX posts

Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 12.3M views

Our whole DevOps stack consists of the following tools:

  • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
  • Respectively Git as revision control system
  • SourceTree as Git GUI
  • Visual Studio Code as IDE
  • CircleCI for continuous integration (automatize development process)
  • Prettier / TSLint / ESLint as code linter
  • SonarQube as quality gate
  • Docker as container management (incl. Docker Compose for multi-container application management)
  • VirtualBox for operating system simulation tests
  • Kubernetes as cluster management for docker containers
  • Heroku for deploying in test environments
  • nginx as web server (preferably used as facade server in production environment)
  • SSLMate (using OpenSSL) for certificate management
  • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
  • PostgreSQL as preferred database system
  • Redis as preferred in-memory database/store (great for caching)

The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

  • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
  • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
  • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
  • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
  • Scalability: All-in-one framework for distributed systems.
  • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
See more
John-Daniel Trask
Co-founder & CEO at Raygun · | 19 upvotes · 516K views

We chose AWS because, at the time, it was really the only cloud provider to choose from.

We tend to use their basic building blocks (EC2, ELB, Amazon S3, Amazon RDS) rather than vendor specific components like databases and queuing. We deliberately decided to do this to ensure we could provide multi-cloud support or potentially move to another cloud provider if the offering was better for our customers.

We’ve utilized c3.large nodes for both the Node.js deployment and then for the .NET Core deployment. Both sit as backends behind an nginx instance and are managed using scaling groups in Amazon EC2 sitting behind a standard AWS Elastic Load Balancing (ELB).

While we’re satisfied with AWS, we do review our decision each year and have looked at Azure and Google Cloud offerings.

#CloudHosting #WebServers #CloudStorage #LoadBalancerReverseProxy

See more
Rails logo

Rails

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Web development that doesn't hurt
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PROS OF RAILS
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    Rapid development
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    Great gems
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    Great community
  • 486
    Convention over configuration
  • 418
    Mvc
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    Great for web
  • 345
    Beautiful code
  • 312
    Open source
  • 271
    Great libraries
  • 262
    Active record
  • 109
    Elegant
  • 91
    Easy to learn
  • 89
    Easy Database Migrations
  • 83
    Makes you happy
  • 76
    Free
  • 63
    Great routing
  • 54
    Has everything you need to get the job done
  • 42
    Great Data Modeling
  • 38
    Beautiful
  • 38
    MVC - Easy to start on
  • 36
    Easy setup
  • 26
    Great caching
  • 25
    Ultra rapid development time
  • 22
    It's super easy
  • 17
    Great Resources
  • 16
    Easy to build mockups that work
  • 14
    Less Boilerplate
  • 7
    Developer Friendly
  • 7
    API Development
  • 6
    Great documentation
  • 5
    Easy REST API creation
  • 5
    Quick
  • 4
    Great language
  • 4
    Intuitive
  • 4
    Haml and sass
  • 4
    Easy to learn, use, improvise and update
  • 2
    Metaprogramming
  • 2
    It works
  • 2
    Jet packs come standard
  • 2
    Easy and fast
  • 2
    Legacy
  • 1
    Convention over configuration
  • 1
    It's intuitive
  • 1
    Easy Testing
  • 1
    Cancan
CONS OF RAILS
  • 24
    Too much "magic" (hidden behavior)
  • 14
    Poor raw performance
  • 12
    Asset system is too primitive and outdated
  • 6
    Heavy use of mixins
  • 6
    Bloat in models
  • 4
    Very Very slow

related Rails posts

Zach Holman

Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.

But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.

But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.

Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.

See more
Russel Werner
Lead Engineer at StackShare · | 32 upvotes · 2.9M views

StackShare Feed is built entirely with React, Glamorous, and Apollo. One of our objectives with the public launch of the Feed was to enable a Server-side rendered (SSR) experience for our organic search traffic. When you visit the StackShare Feed, and you aren't logged in, you are delivered the Trending feed experience. We use an in-house Node.js rendering microservice to generate this HTML. This microservice needs to run and serve requests independent of our Rails web app. Up until recently, we had a mono-repo with our Rails and React code living happily together and all served from the same web process. In order to deploy our SSR app into a Heroku environment, we needed to split out our front-end application into a separate repo in GitHub. The driving factor in this decision was mostly due to limitations imposed by Heroku specifically with how processes can't communicate with each other. A new SSR app was created in Heroku and linked directly to the frontend repo so it stays in-sync with changes.

Related to this, we need a way to "deploy" our frontend changes to various server environments without building & releasing the entire Ruby application. We built a hybrid Amazon S3 Amazon CloudFront solution to host our Webpack bundles. A new CircleCI script builds the bundles and uploads them to S3. The final step in our rollout is to update some keys in Redis so our Rails app knows which bundles to serve. The result of these efforts were significant. Our frontend team now moves independently of our backend team, our build & release process takes only a few minutes, we are now using an edge CDN to serve JS assets, and we have pre-rendered React pages!

#StackDecisionsLaunch #SSR #Microservices #FrontEndRepoSplit

See more
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
  • 1.4K
    Npm
  • 1.3K
    Javascript
  • 1.1K
    Great libraries
  • 1K
    High-performance
  • 805
    Open source
  • 487
    Great for apis
  • 477
    Asynchronous
  • 425
    Great community
  • 390
    Great for realtime apps
  • 296
    Great for command line utilities
  • 86
    Websockets
  • 84
    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 hell
  • 11
    Dependency based on GitHub
  • 10
    Low computational power
  • 7
    Very very Slow
  • 7
    Can block whole server easily
  • 7
    Callback functions may not fire on expected sequence
  • 4
    Breaking updates
  • 4
    Unstable
  • 3
    Unneeded over complication
  • 3
    No standard approach
  • 1
    Bad transitive dependency management
  • 1
    Can't read server session

related Node.js posts

Anurag Maurya

Needs advice on code coverage tool in Node.js/ExpressJS with External API Testing Framework

Hello community,

I have a web application with the backend developed using Node.js and Express.js. The backend server is in one directory, and I have a separate API testing framework, made using SuperTest, Mocha, and Chai, in another directory. The testing framework pings the API, retrieves responses, and performs validations.

I'm currently looking for a code coverage tool that can accurately measure the code coverage of my backend code when triggered by the API testing framework. I've tried using Istanbul and NYC with instrumented code, but the results are not as expected.

Could you please recommend a reliable code coverage tool or suggest an approach to effectively measure the code coverage of my Node.js/Express.js backend code in this setup?

See more
Shared insights
on
Node.jsNode.jsGraphQLGraphQLMongoDBMongoDB

I just finished the very first version of my new hobby project: #MovieGeeks. It is a minimalist online movie catalog for you to save the movies you want to see and for rating the movies you already saw. This is just the beginning as I am planning to add more features on the lines of sharing and discovery

For the #BackEnd I decided to use Node.js , GraphQL and MongoDB:

  1. Node.js has a huge community so it will always be a safe choice in terms of libraries and finding solutions to problems you may have

  2. GraphQL because I needed to improve my skills with it and because I was never comfortable with the usual REST approach. I believe GraphQL is a better option as it feels more natural to write apis, it improves the development velocity, by definition it fixes the over-fetching and under-fetching problem that is so common on REST apis, and on top of that, the community is getting bigger and bigger.

  3. MongoDB was my choice for the database as I already have a lot of experience working on it and because, despite of some bad reputation it has acquired in the last months, I still believe it is a powerful database for at least a very long list of use cases such as the one I needed for my website

See more
Elm logo

Elm

746
319
A type inferred, functional reactive language that compiles to HTML, CSS, and JavaScript
746
319
PROS OF ELM
  • 45
    Code stays clean
  • 44
    Great type system
  • 40
    No Runtime Exceptions
  • 33
    Fun
  • 28
    Easy to understand
  • 23
    Type safety
  • 22
    Correctness
  • 17
    JS fatigue
  • 12
    Ecosystem agrees on one Application Architecture
  • 12
    Declarative
  • 10
    Friendly compiler messages
  • 8
    Fast rendering
  • 7
    If it compiles, it runs
  • 7
    Welcoming community
  • 5
    Stable ecosystem
  • 4
    'Batteries included'
  • 2
    Package.elm-lang.org
CONS OF ELM
  • 3
    No typeclasses -> repitition (i.e. map has 130versions)
  • 2
    JS interop can not be async
  • 2
    JS interoperability a bit more involved
  • 1
    More code is required
  • 1
    No JSX/Template
  • 1
    Main developer enforces "the correct" style hard
  • 1
    No communication with users
  • 1
    Backwards compability breaks between releases

related Elm posts

Shared insights
on
ReactReactReduxReduxElmElm

React is awesome, but is just a view library, when we need to manage state, there is Redux.js. The ecosystem of redux is big, complex and hard to integrate. That's why we choose to create hydux. Hydux is simple, the main idea is from Elm, a pure functional vdom-based framework for front-end. We seperate the whole app with state, actions and views. Which means not only our views are a tree, but also our state and actions. Reuse state and actions are just like reuse react components, no need to consider dependences.

See more
JavaScript logo

JavaScript

367.6K
8.1K
Lightweight, interpreted, object-oriented language with first-class functions
367.6K
8.1K
PROS OF JAVASCRIPT
  • 1.7K
    Can be used on frontend/backend
  • 1.5K
    It's everywhere
  • 1.2K
    Lots of great frameworks
  • 899
    Fast
  • 746
    Light weight
  • 425
    Flexible
  • 392
    You can't get a device today that doesn't run js
  • 286
    Non-blocking i/o
  • 237
    Ubiquitousness
  • 191
    Expressive
  • 55
    Extended functionality to web pages
  • 49
    Relatively easy language
  • 46
    Executed on the client side
  • 30
    Relatively fast to the end user
  • 25
    Pure Javascript
  • 21
    Functional programming
  • 15
    Async
  • 13
    Full-stack
  • 12
    Future Language of The Web
  • 12
    Setup is easy
  • 12
    Its everywhere
  • 11
    Because I love functions
  • 11
    JavaScript is the New PHP
  • 10
    Like it or not, JS is part of the web standard
  • 9
    Expansive community
  • 9
    Everyone use it
  • 9
    Can be used in backend, frontend and DB
  • 9
    Easy
  • 8
    Easy to hire developers
  • 8
    No need to use PHP
  • 8
    For the good parts
  • 8
    Can be used both as frontend and backend as well
  • 8
    Powerful
  • 8
    Most Popular Language in the World
  • 7
    Its fun and fast
  • 7
    It's fun
  • 7
    Nice
  • 7
    Versitile
  • 7
    Hard not to use
  • 7
    Popularized Class-Less Architecture & Lambdas
  • 7
    Agile, packages simple to use
  • 7
    Supports lambdas and closures
  • 7
    Love-hate relationship
  • 7
    Photoshop has 3 JS runtimes built in
  • 7
    Evolution of C
  • 6
    Easy to make something
  • 6
    It let's me use Babel & Typescript
  • 6
    Client side JS uses the visitors CPU to save Server Res
  • 6
    Can be used on frontend/backend/Mobile/create PRO Ui
  • 6
    1.6K Can be used on frontend/backend
  • 5
    Client processing
  • 5
    What to add
  • 5
    Stockholm Syndrome
  • 5
    Function expressions are useful for callbacks
  • 5
    Scope manipulation
  • 5
    Everywhere
  • 5
    Promise relationship
  • 5
    Clojurescript
  • 4
    Because it is so simple and lightweight
  • 4
    Only Programming language on browser
  • 1
    Not the best
  • 1
    Hard to learn
  • 1
    Test
  • 1
    Easy to learn
  • 1
    Subskill #4
  • 1
    Easy to learn and test
  • 1
    Love it
  • 1
    Test2
  • 1
    Easy to understand
  • 0
    Hard 彤
CONS OF JAVASCRIPT
  • 22
    A constant moving target, too much churn
  • 20
    Horribly inconsistent
  • 15
    Javascript is the New PHP
  • 9
    No ability to monitor memory utilitization
  • 8
    Shows Zero output in case of ANY error
  • 7
    Thinks strange results are better than errors
  • 6
    Can be ugly
  • 3
    No GitHub
  • 2
    Slow
  • 0
    HORRIBLE DOCUMENTS, faulty code, repo has bugs

related JavaScript posts

Zach Holman

Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.

But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.

But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.

Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.

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Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 13.2M 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

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Python logo

Python

248.4K
6.9K
A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
248.4K
6.9K
PROS OF PYTHON
  • 1.2K
    Great libraries
  • 965
    Readable code
  • 848
    Beautiful code
  • 789
    Rapid development
  • 692
    Large community
  • 439
    Open source
  • 394
    Elegant
  • 283
    Great community
  • 274
    Object oriented
  • 222
    Dynamic typing
  • 78
    Great standard library
  • 62
    Very fast
  • 56
    Functional programming
  • 52
    Easy to learn
  • 47
    Scientific computing
  • 36
    Great documentation
  • 30
    Productivity
  • 29
    Matlab alternative
  • 29
    Easy to read
  • 25
    Simple is better than complex
  • 21
    It's the way I think
  • 20
    Imperative
  • 19
    Very programmer and non-programmer friendly
  • 19
    Free
  • 17
    Powerfull language
  • 17
    Machine learning support
  • 16
    Fast and simple
  • 14
    Scripting
  • 12
    Explicit is better than implicit
  • 11
    Ease of development
  • 10
    Clear and easy and powerfull
  • 9
    Unlimited power
  • 8
    It's lean and fun to code
  • 8
    Import antigravity
  • 7
    Print "life is short, use python"
  • 7
    Python has great libraries for data processing
  • 6
    Although practicality beats purity
  • 6
    Fast coding and good for competitions
  • 6
    There should be one-- and preferably only one --obvious
  • 6
    High Documented language
  • 6
    Readability counts
  • 6
    Rapid Prototyping
  • 6
    I love snakes
  • 6
    Now is better than never
  • 6
    Flat is better than nested
  • 6
    Great for tooling
  • 5
    Great for analytics
  • 5
    Web scraping
  • 5
    Lists, tuples, dictionaries
  • 4
    Complex is better than complicated
  • 4
    Socially engaged community
  • 4
    Plotting
  • 4
    Beautiful is better than ugly
  • 4
    Easy to learn and use
  • 4
    Easy to setup and run smooth
  • 4
    Simple and easy to learn
  • 4
    Multiple Inheritence
  • 4
    CG industry needs
  • 3
    List comprehensions
  • 3
    Powerful language for AI
  • 3
    Flexible and easy
  • 3
    It is Very easy , simple and will you be love programmi
  • 3
    Many types of collections
  • 3
    If the implementation is easy to explain, it may be a g
  • 3
    If the implementation is hard to explain, it's a bad id
  • 3
    Special cases aren't special enough to break the rules
  • 3
    Pip install everything
  • 3
    No cruft
  • 3
    Generators
  • 3
    Import this
  • 2
    Can understand easily who are new to programming
  • 2
    Securit
  • 2
    Should START with this but not STICK with This
  • 2
    A-to-Z
  • 2
    Because of Netflix
  • 2
    Only one way to do it
  • 2
    Better outcome
  • 2
    Good for hacking
  • 2
    Batteries included
  • 2
    Procedural programming
  • 1
    Sexy af
  • 1
    Automation friendly
  • 1
    Slow
  • 1
    Best friend for NLP
  • 0
    Powerful
  • 0
    Keep it simple
  • 0
    Ni
CONS OF PYTHON
  • 53
    Still divided between python 2 and python 3
  • 28
    Performance impact
  • 26
    Poor syntax for anonymous functions
  • 22
    GIL
  • 19
    Package management is a mess
  • 14
    Too imperative-oriented
  • 12
    Hard to understand
  • 12
    Dynamic typing
  • 12
    Very slow
  • 8
    Indentations matter a lot
  • 8
    Not everything is expression
  • 7
    Incredibly slow
  • 7
    Explicit self parameter in methods
  • 6
    Requires C functions for dynamic modules
  • 6
    Poor DSL capabilities
  • 6
    No anonymous functions
  • 5
    Fake object-oriented programming
  • 5
    Threading
  • 5
    The "lisp style" whitespaces
  • 5
    Official documentation is unclear.
  • 5
    Hard to obfuscate
  • 5
    Circular import
  • 4
    Lack of Syntax Sugar leads to "the pyramid of doom"
  • 4
    The benevolent-dictator-for-life quit
  • 4
    Not suitable for autocomplete
  • 2
    Meta classes
  • 1
    Training wheels (forced indentation)

related Python posts

Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 13.2M 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

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Nick Parsons
Building cool things on the internet 🛠️ at Stream · | 35 upvotes · 4.4M views

Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.

We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)

We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.

Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.

#FrameworksFullStack #Languages

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HTML5 logo

HTML5

151.6K
2.2K
5th major revision of the core language of the World Wide Web
151.6K
2.2K
PROS OF HTML5
  • 448
    New doctype
  • 389
    Local storage
  • 334
    Canvas
  • 285
    Semantic header and footer
  • 240
    Video element
  • 121
    Geolocation
  • 106
    Form autofocus
  • 100
    Email inputs
  • 85
    Editable content
  • 79
    Application caches
  • 10
    Easy to use
  • 9
    Cleaner Code
  • 5
    Easy
  • 4
    Semantical
  • 4
    Websockets
  • 3
    Audio element
  • 3
    Content focused
  • 3
    Modern
  • 3
    Better
  • 2
    Compatible
  • 2
    Portability
  • 2
    Semantic Header and Footer, Geolocation, New Doctype
  • 2
    Very easy to learning to HTML
CONS OF HTML5
  • 2
    Easy to forget the tags when you're a begginner
  • 1
    Long and winding code

related HTML5 posts

Jan Vlnas
Senior Software Engineer at Mews · | 26 upvotes · 467.4K views
Shared insights
on
HTML5HTML5JavaScriptJavaScriptNext.jsNext.js

Few years ago we were building a Next.js site with a few simple forms. This required handling forms validation and submission, but instead of picking some forms library, we went with plain JavaScript and constraint validation API in HTML5. This shaved off a few KBs of dependencies and gave us full control over the validation behavior and look. I describe this approach, with its pros and cons, in a blog post.

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Jonathan Pugh
Software Engineer / Project Manager / Technical Architect · | 25 upvotes · 3.1M views

I needed to choose a full stack of tools for cross platform mobile application design & development. After much research and trying different tools, these are what I came up with that work for me today:

For the client coding I chose Framework7 because of its performance, easy learning curve, and very well designed, beautiful UI widgets. I think it's perfect for solo development or small teams. I didn't like React Native. It felt heavy to me and rigid. Framework7 allows the use of #CSS3, which I think is the best technology to come out of the #WWW movement. No other tech has been able to allow designers and developers to develop such flexible, high performance, customisable user interface elements that are highly responsive and hardware accelerated before. Now #CSS3 includes variables and flexboxes it is truly a powerful language and there is no longer a need for preprocessors such as #SCSS / #Sass / #less. React Native contains a very limited interpretation of #CSS3 which I found very frustrating after using #CSS3 for some years already and knowing its powerful features. The other very nice feature of Framework7 is that you can even build for the browser if you want your app to be available for desktop web browsers. The latest release also includes the ability to build for #Electron so you can have MacOS, Windows and Linux desktop apps. This is not possible with React Native yet.

Framework7 runs on top of Apache Cordova. Cordova and webviews have been slated as being slow in the past. Having a game developer background I found the tweeks to make it run as smooth as silk. One of those tweeks is to use WKWebView. Another important one was using srcset on images.

I use #Template7 for the for the templating system which is a no-nonsense mobile-centric #HandleBars style extensible templating system. It's easy to write custom helpers for, is fast and has a small footprint. I'm not forced into a new paradigm or learning some new syntax. It operates with standard JavaScript, HTML5 and CSS 3. It's written by the developer of Framework7 and so dovetails with it as expected.

I configured TypeScript to work with the latest version of Framework7. I consider TypeScript to be one of the best creations to come out of Microsoft in some time. They must have an amazing team working on it. It's very powerful and flexible. It helps you catch a lot of bugs and also provides code completion in supporting IDEs. So for my IDE I use Visual Studio Code which is a blazingly fast and silky smooth editor that integrates seamlessly with TypeScript for the ultimate type checking setup (both products are produced by Microsoft).

I use Webpack and Babel to compile the JavaScript. TypeScript can compile to JavaScript directly but Babel offers a few more options and polyfills so you can use the latest (and even prerelease) JavaScript features today and compile to be backwards compatible with virtually any browser. My favorite recent addition is "optional chaining" which greatly simplifies and increases readability of a number of sections of my code dealing with getting and setting data in nested objects.

I use some Ruby scripts to process images with ImageMagick and pngquant to optimise for size and even auto insert responsive image code into the HTML5. Ruby is the ultimate cross platform scripting language. Even as your scripts become large, Ruby allows you to refactor your code easily and make it Object Oriented if necessary. I find it the quickest and easiest way to maintain certain aspects of my build process.

For the user interface design and prototyping I use Figma. Figma has an almost identical user interface to #Sketch but has the added advantage of being cross platform (MacOS and Windows). Its real-time collaboration features are outstanding and I use them a often as I work mostly on remote projects. Clients can collaborate in real-time and see changes I make as I make them. The clickable prototyping features in Figma are also very well designed and mean I can send clickable prototypes to clients to try user interface updates as they are made and get immediate feedback. I'm currently also evaluating the latest version of #AdobeXD as an alternative to Figma as it has the very cool auto-animate feature. It doesn't have real-time collaboration yet, but I heard it is proposed for 2019.

For the UI icons I use Font Awesome Pro. They have the largest selection and best looking icons you can find on the internet with several variations in styles so you can find most of the icons you want for standard projects.

For the backend I was using the #GraphCool Framework. As I later found out, #GraphQL still has some way to go in order to provide the full power of a mature graph query language so later in my project I ripped out #GraphCool and replaced it with CouchDB and Pouchdb. Primarily so I could provide good offline app support. CouchDB with Pouchdb is very flexible and efficient combination and overcomes some of the restrictions I found in #GraphQL and hence #GraphCool also. The most impressive and important feature of CouchDB is its replication. You can configure it in various ways for backups, fault tolerance, caching or conditional merging of databases. CouchDB and Pouchdb even supports storing, retrieving and serving binary or image data or other mime types. This removes a level of complexity usually present in database implementations where binary or image data is usually referenced through an #HTML5 link. With CouchDB and Pouchdb apps can operate offline and sync later, very efficiently, when the network connection is good.

I use PhoneGap when testing the app. It auto-reloads your app when its code is changed and you can also install it on Android phones to preview your app instantly. iOS is a bit more tricky cause of Apple's policies so it's not available on the App Store, but you can build it and install it yourself to your device.

So that's my latest mobile stack. What tools do you use? Have you tried these ones?

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