Alternatives to EasyEngine logo

Alternatives to EasyEngine

ServerPilot, Runcloud, Centmin Mod, WordOps, and JavaScript are the most popular alternatives and competitors to EasyEngine.
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What is EasyEngine and what are its top alternatives?

It is a command-line tool for the Nginx web servers to manage WordPress sites that are running on the LEMP Stack (Linux, Nginx, MySQL/MariaDB, and PHP-FPM). It is created with python and can be installed on Ubuntu and Linux Debian distributions.
EasyEngine is a tool in the Server Configuration and Automation category of a tech stack.
EasyEngine is an open source tool with GitHub stars and GitHub forks. Here’s a link to EasyEngine's open source repository on GitHub

Top Alternatives to EasyEngine

  • ServerPilot
    ServerPilot

    It is a SaaS platform for hosting PHP websites on Ubuntu servers. You can think of it as a modern, centralized hosting control panel. Manage all servers and sites through a single control panel or automate using our API. ...

  • Runcloud
    Runcloud

    SaaS based PHP cloud server control panel. Support Digital Ocean, Linode, AWS, Vultr, Azure and other custom VPS. GIT deployment webhook and easiest control panel to manage Laravel, Cake, Symphony or WordPress. ...

  • Centmin Mod
    Centmin Mod

    It is a set of open source Linux software which are together form the platform (web stack) where a web site's files (text, CSS files, javascript, web fonts, videos and images) and data can be served to a visitor. ...

  • WordOps
    WordOps

    It provides the ability to deploy a blazing fast and secured WordPress with Nginx by using simple and easy to remember commands. Forked from EasyEngine v3, it’s already much more than an up-to-date version of EEv3 with several new features including Let’s Encrypt wildcard SSL certificates with DNS API validation support, Linux kernel optimizations or a new custom Nginx package with TLS v1.3 and Cloudflare HTTP/2 HPACK support. ...

  • 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. ...

  • Git
    Git

    Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency. ...

  • GitHub
    GitHub

    GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together. ...

  • 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. ...

EasyEngine alternatives & related posts

ServerPilot logo

ServerPilot

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The best way to run WordPress and PHP sites
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0
PROS OF SERVERPILOT
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      Runcloud logo

      Runcloud

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      PHP web application & server management panel
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          Centmin Mod logo

          Centmin Mod

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          A set of open source Linux software
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              WordOps logo

              WordOps

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              An essential toolset that eases WordPress site and server administration
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                  JavaScript logo

                  JavaScript

                  353K
                  268.5K
                  8.1K
                  Lightweight, interpreted, object-oriented language with first-class functions
                  353K
                  268.5K
                  + 1
                  8.1K
                  PROS OF JAVASCRIPT
                  • 1.7K
                    Can be used on frontend/backend
                  • 1.5K
                    It's everywhere
                  • 1.2K
                    Lots of great frameworks
                  • 897
                    Fast
                  • 745
                    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
                    Setup is easy
                  • 12
                    Future Language of The Web
                  • 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
                    Most Popular Language in the World
                  • 8
                    Powerful
                  • 8
                    Can be used both as frontend and backend as well
                  • 8
                    For the good parts
                  • 8
                    No need to use PHP
                  • 8
                    Easy to hire developers
                  • 7
                    Agile, packages simple to use
                  • 7
                    Love-hate relationship
                  • 7
                    Photoshop has 3 JS runtimes built in
                  • 7
                    Evolution of C
                  • 7
                    It's fun
                  • 7
                    Hard not to use
                  • 7
                    Versitile
                  • 7
                    Its fun and fast
                  • 7
                    Nice
                  • 7
                    Popularized Class-Less Architecture & Lambdas
                  • 7
                    Supports lambdas and closures
                  • 6
                    It let's me use Babel & Typescript
                  • 6
                    Can be used on frontend/backend/Mobile/create PRO Ui
                  • 6
                    1.6K Can be used on frontend/backend
                  • 6
                    Client side JS uses the visitors CPU to save Server Res
                  • 6
                    Easy to make something
                  • 5
                    Clojurescript
                  • 5
                    Promise relationship
                  • 5
                    Stockholm Syndrome
                  • 5
                    Function expressions are useful for callbacks
                  • 5
                    Scope manipulation
                  • 5
                    Everywhere
                  • 5
                    Client processing
                  • 5
                    What to add
                  • 4
                    Because it is so simple and lightweight
                  • 4
                    Only Programming language on browser
                  • 1
                    Test
                  • 1
                    Hard to learn
                  • 1
                    Test2
                  • 1
                    Not the best
                  • 1
                    Easy to understand
                  • 1
                    Subskill #4
                  • 1
                    Easy to learn
                  • 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

                  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.

                  See more
                  Conor Myhrvold
                  Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 10.9M 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
                  Git logo

                  Git

                  292K
                  175.1K
                  6.6K
                  Fast, scalable, distributed revision control system
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                  PROS OF GIT
                  • 1.4K
                    Distributed version control system
                  • 1.1K
                    Efficient branching and merging
                  • 959
                    Fast
                  • 845
                    Open source
                  • 726
                    Better than svn
                  • 368
                    Great command-line application
                  • 306
                    Simple
                  • 291
                    Free
                  • 232
                    Easy to use
                  • 222
                    Does not require server
                  • 27
                    Distributed
                  • 22
                    Small & Fast
                  • 18
                    Feature based workflow
                  • 15
                    Staging Area
                  • 13
                    Most wide-spread VSC
                  • 11
                    Role-based codelines
                  • 11
                    Disposable Experimentation
                  • 7
                    Frictionless Context Switching
                  • 6
                    Data Assurance
                  • 5
                    Efficient
                  • 4
                    Just awesome
                  • 3
                    Github integration
                  • 3
                    Easy branching and merging
                  • 2
                    Compatible
                  • 2
                    Flexible
                  • 2
                    Possible to lose history and commits
                  • 1
                    Rebase supported natively; reflog; access to plumbing
                  • 1
                    Light
                  • 1
                    Team Integration
                  • 1
                    Fast, scalable, distributed revision control system
                  • 1
                    Easy
                  • 1
                    Flexible, easy, Safe, and fast
                  • 1
                    CLI is great, but the GUI tools are awesome
                  • 1
                    It's what you do
                  • 0
                    Phinx
                  CONS OF GIT
                  • 16
                    Hard to learn
                  • 11
                    Inconsistent command line interface
                  • 9
                    Easy to lose uncommitted work
                  • 7
                    Worst documentation ever possibly made
                  • 5
                    Awful merge handling
                  • 3
                    Unexistent preventive security flows
                  • 3
                    Rebase hell
                  • 2
                    When --force is disabled, cannot rebase
                  • 2
                    Ironically even die-hard supporters screw up badly
                  • 1
                    Doesn't scale for big data

                  related Git posts

                  Simon Reymann
                  Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 9.7M 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
                  Tymoteusz Paul
                  Devops guy at X20X Development LTD · | 23 upvotes · 8.7M views

                  Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

                  It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

                  I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

                  We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

                  If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

                  The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

                  Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

                  See more
                  GitHub logo

                  GitHub

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                  10.3K
                  Powerful collaboration, review, and code management for open source and private development projects
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                  10.3K
                  PROS OF GITHUB
                  • 1.8K
                    Open source friendly
                  • 1.5K
                    Easy source control
                  • 1.3K
                    Nice UI
                  • 1.1K
                    Great for team collaboration
                  • 867
                    Easy setup
                  • 504
                    Issue tracker
                  • 486
                    Great community
                  • 483
                    Remote team collaboration
                  • 451
                    Great way to share
                  • 442
                    Pull request and features planning
                  • 147
                    Just works
                  • 132
                    Integrated in many tools
                  • 121
                    Free Public Repos
                  • 116
                    Github Gists
                  • 112
                    Github pages
                  • 83
                    Easy to find repos
                  • 62
                    Open source
                  • 60
                    It's free
                  • 60
                    Easy to find projects
                  • 56
                    Network effect
                  • 49
                    Extensive API
                  • 43
                    Organizations
                  • 42
                    Branching
                  • 34
                    Developer Profiles
                  • 32
                    Git Powered Wikis
                  • 30
                    Great for collaboration
                  • 24
                    It's fun
                  • 23
                    Clean interface and good integrations
                  • 22
                    Community SDK involvement
                  • 20
                    Learn from others source code
                  • 16
                    Because: Git
                  • 14
                    It integrates directly with Azure
                  • 10
                    Standard in Open Source collab
                  • 10
                    Newsfeed
                  • 8
                    It integrates directly with Hipchat
                  • 8
                    Fast
                  • 8
                    Beautiful user experience
                  • 7
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                    Smooth integration
                  • 6
                    Cloud SCM
                  • 6
                    Nice API
                  • 6
                    Graphs
                  • 6
                    Integrations
                  • 6
                    It's awesome
                  • 5
                    Quick Onboarding
                  • 5
                    Reliable
                  • 5
                    Remarkable uptime
                  • 5
                    CI Integration
                  • 5
                    Hands down best online Git service available
                  • 4
                    Uses GIT
                  • 4
                    Version Control
                  • 4
                    Simple but powerful
                  • 4
                    Unlimited Public Repos at no cost
                  • 4
                    Free HTML hosting
                  • 4
                    Security options
                  • 4
                    Loved by developers
                  • 4
                    Easy to use and collaborate with others
                  • 3
                    Ci
                  • 3
                    IAM
                  • 3
                    Nice to use
                  • 3
                    Easy deployment via SSH
                  • 2
                    Easy to use
                  • 2
                    Leads the copycats
                  • 2
                    All in one development service
                  • 2
                    Free private repos
                  • 2
                    Free HTML hostings
                  • 2
                    Easy and efficient maintainance of the projects
                  • 2
                    Beautiful
                  • 2
                    Easy source control and everything is backed up
                  • 2
                    IAM integration
                  • 2
                    Very Easy to Use
                  • 2
                    Good tools support
                  • 2
                    Issues tracker
                  • 2
                    Never dethroned
                  • 2
                    Self Hosted
                  • 1
                    Dasf
                  • 1
                    Profound
                  CONS OF GITHUB
                  • 54
                    Owned by micrcosoft
                  • 38
                    Expensive for lone developers that want private repos
                  • 15
                    Relatively slow product/feature release cadence
                  • 10
                    API scoping could be better
                  • 9
                    Only 3 collaborators for private repos
                  • 4
                    Limited featureset for issue management
                  • 3
                    Does not have a graph for showing history like git lens
                  • 2
                    GitHub Packages does not support SNAPSHOT versions
                  • 1
                    No multilingual interface
                  • 1
                    Takes a long time to commit
                  • 1
                    Expensive

                  related GitHub posts

                  Johnny Bell

                  I was building a personal project that I needed to store items in a real time database. I am more comfortable with my Frontend skills than my backend so I didn't want to spend time building out anything in Ruby or Go.

                  I stumbled on Firebase by #Google, and it was really all I needed. It had realtime data, an area for storing file uploads and best of all for the amount of data I needed it was free!

                  I built out my application using tools I was familiar with, React for the framework, Redux.js to manage my state across components, and styled-components for the styling.

                  Now as this was a project I was just working on in my free time for fun I didn't really want to pay for hosting. I did some research and I found Netlify. I had actually seen them at #ReactRally the year before and deployed a Gatsby site to Netlify already.

                  Netlify was very easy to setup and link to my GitHub account you select a repo and pretty much with very little configuration you have a live site that will deploy every time you push to master.

                  With the selection of these tools I was able to build out my application, connect it to a realtime database, and deploy to a live environment all with $0 spent.

                  If you're looking to build out a small app I suggest giving these tools a go as you can get your idea out into the real world for absolutely no cost.

                  See more

                  Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

                  Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

                  Check Out My Architecture: CLICK ME

                  Check out the GitHub repo attached

                  See more
                  Python logo

                  Python

                  240.9K
                  196.5K
                  6.9K
                  A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
                  240.9K
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                  6.9K
                  PROS OF PYTHON
                  • 1.2K
                    Great libraries
                  • 961
                    Readable code
                  • 846
                    Beautiful code
                  • 787
                    Rapid development
                  • 689
                    Large community
                  • 435
                    Open source
                  • 393
                    Elegant
                  • 282
                    Great community
                  • 272
                    Object oriented
                  • 220
                    Dynamic typing
                  • 77
                    Great standard library
                  • 59
                    Very fast
                  • 55
                    Functional programming
                  • 49
                    Easy to learn
                  • 45
                    Scientific computing
                  • 35
                    Great documentation
                  • 29
                    Productivity
                  • 28
                    Easy to read
                  • 28
                    Matlab alternative
                  • 23
                    Simple is better than complex
                  • 20
                    It's the way I think
                  • 19
                    Imperative
                  • 18
                    Free
                  • 18
                    Very programmer and non-programmer friendly
                  • 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
                    Flat is better than nested
                  • 6
                    Great for tooling
                  • 6
                    Rapid Prototyping
                  • 6
                    Readability counts
                  • 6
                    High Documented language
                  • 6
                    I love snakes
                  • 6
                    Fast coding and good for competitions
                  • 6
                    There should be one-- and preferably only one --obvious
                  • 6
                    Now is better than never
                  • 5
                    Great for analytics
                  • 5
                    Lists, tuples, dictionaries
                  • 4
                    Easy to learn and use
                  • 4
                    Simple and easy to learn
                  • 4
                    Easy to setup and run smooth
                  • 4
                    Web scraping
                  • 4
                    CG industry needs
                  • 4
                    Socially engaged community
                  • 4
                    Complex is better than complicated
                  • 4
                    Multiple Inheritence
                  • 4
                    Beautiful is better than ugly
                  • 4
                    Plotting
                  • 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
                    List comprehensions
                  • 3
                    No cruft
                  • 3
                    Generators
                  • 3
                    Import this
                  • 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
                  • 2
                    Batteries included
                  • 2
                    Should START with this but not STICK with This
                  • 2
                    Powerful language for AI
                  • 2
                    Can understand easily who are new to programming
                  • 2
                    Flexible and easy
                  • 2
                    Good for hacking
                  • 2
                    A-to-Z
                  • 2
                    Because of Netflix
                  • 2
                    Only one way to do it
                  • 2
                    Better outcome
                  • 1
                    Sexy af
                  • 1
                    Slow
                  • 1
                    Securit
                  • 0
                    Ni
                  • 0
                    Powerful
                  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)

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