Alternatives to tmux logo

Alternatives to tmux

Emacs, Docker, iTerm2, Vim, and JavaScript are the most popular alternatives and competitors to tmux.
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What is tmux and what are its top alternatives?

Tmux is a popular terminal multiplexer that allows users to create and manage multiple terminal sessions within a single window. It offers features such as split-screen functionality, session management, and customization options through configuration files. However, some limitations of tmux include a steep learning curve for beginners and a command-driven interface that may not be as intuitive for all users.

  1. GNU Screen: GNU Screen is one of the oldest terminal multiplexers, allowing users to create multiple virtual terminals within a single session. Key features include session management, detachable sessions, and window splitting. Pros include its long-standing reputation and stability, while cons may include a less modern interface compared to tmux.
  2. i3: i3 is a tiling window manager that offers a different approach to managing terminal windows. It automatically tiles windows based on predefined layouts, allowing for efficient use of screen real estate. Key features include customizable keyboard shortcuts, workspace management, and a dynamic tiling system. Pros include its efficiency in managing windows, while cons may include a steeper learning curve compared to tmux.
  3. Terminator: Terminator is a terminal emulator that offers features such as splitting terminals horizontally and vertically, multiple tabs, and customizable layouts. Key features include drag-and-drop reordering of terminals, session saving, and plugin support. Pros include its user-friendly interface and extensive customization options, while cons may include potential resource usage depending on the configurations.
  4. Kitty: Kitty is a fast and feature-rich terminal emulator that supports the splitting of terminal windows, GPU rendering, and a focus on performance. Key features include the ability to display images and Unicode characters, customizable key bindings, and a well-documented configuration file. Pros include its speed and modern feature set, while cons may include a potentially overwhelming number of configuration options for some users.
  5. Alacritty: Alacritty is a cross-platform terminal emulator written in Rust with a focus on simplicity and performance. Key features include GPU rendering, vi-like key bindings, and a minimalistic user interface. Pros include its speed and responsiveness, while cons may include a lack of advanced features compared to tmux.
  6. ConEmu: ConEmu is a Windows console emulator that offers features such as tabs, split panes, and customizable color schemes. Key features include customizable hotkeys, support for multiple shells, and integration with other tools such as Far Manager. Pros include its extensive customization options and compatibility with Windows, while cons may include a potentially overwhelming number of settings for some users.
  7. Hyper: Hyper is an open-source terminal built on web technologies, featuring a customizable interface, plugin support, and a focus on extensibility. Key features include built-in themes, keyboard shortcuts, and the ability to create custom plugins using JavaScript. Pros include its modern interface and active community, while cons may include potential performance issues depending on the configurations and plugins used.
  8. Terminus: Terminus is a terminal emulator based on Electron that offers features such as tabs, panes, and customization options. Key features include integrated search, custom themes, and support for multiple platforms. Pros include its modern interface and ease of use, while cons may include potential resource usage due to being built on Electron.
  9. Tilix: Tilix is a tiling terminal emulator for Linux with features such as tabs, multiple panes, and session saving. Key features include custom layouts, terminal transparency, and profile management. Pros include its customization options and user-friendly interface, while cons may include potential bugs and stability issues depending on the system configuration.
  10. Xfce Terminal: Xfce Terminal is a lightweight terminal emulator for the Xfce desktop environment, offering features such as tabs, customizable key bindings, and color schemes. Key features include drag-and-drop reordering of tabs, profile support, and terminal preferences. Pros include its simplicity and integration with the Xfce desktop, while cons may include a lack of advanced features compared to tmux.

Top Alternatives to tmux

  • Emacs
    Emacs

    GNU Emacs is an extensible, customizable text editor—and more. At its core is an interpreter for Emacs Lisp, a dialect of the Lisp programming language with extensions to support text editing. ...

  • Docker
    Docker

    The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere ...

  • iTerm2
    iTerm2

    A replacement for Terminal and the successor to iTerm. It works on Macs with macOS 10.12 or newer. iTerm2 brings the terminal into the modern age with features you never knew you always wanted. ...

  • Vim
    Vim

    Vim is an advanced text editor that seeks to provide the power of the de-facto Unix editor 'Vi', with a more complete feature set. Vim is a highly configurable text editor built to enable efficient text editing. It is an improved version of the vi editor distributed with most UNIX systems. Vim is distributed free as charityware. ...

  • 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. ...

  • 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. ...

  • 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. ...

tmux alternatives & related posts

Emacs logo

Emacs

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The extensible self-documenting text editor.
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PROS OF EMACS
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    Vast array of extensions
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    Have all you can imagine
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    Everything i need in one place
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    Portability
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    Customer config
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    Your config works on any platform
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    Low memory consumption
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    Perfect for monsters
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    All life inside one program
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    Extendable, portable, fast - all at your fingertips
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    Enables extremely rapid keyboard-only navigation
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    Widely-used keybindings (e.g. by bash)
  • 5
    Extensible in Lisp
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    Runs everywhere important
  • 4
    FOSS Software
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    Powerful multilanguage IDE
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    Git integration
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    May be old but always reliable
  • 3
    Asynchronous
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    Powerful UI
  • 1
    Huge ecosystem
CONS OF EMACS
  • 4
    So good and extensible, that one can get sidetracked
  • 4
    Hard to learn for beginners
  • 1
    Not default preinstalled in GNU/linux

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Docker logo

Docker

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Enterprise Container Platform for High-Velocity Innovation.
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PROS OF DOCKER
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    Open source
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    Testa­bil­i­ty and re­pro­ducibil­i­ty
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    Lightweight
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    Standardization
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    Scalable
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    Upgrading / down­grad­ing / ap­pli­ca­tion versions
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    Security
  • 85
    Private paas environments
  • 34
    Portability
  • 26
    Limit resource usage
  • 17
    Game changer
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    I love the way docker has changed virtualization
  • 14
    Fast
  • 12
    Concurrency
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    Docker's Compose tools
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    Fast and Portable
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    Easy setup
  • 5
    Because its fun
  • 4
    Makes shipping to production very simple
  • 3
    It's dope
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    Highly useful
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    Does a nice job hogging memory
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    Open source and highly configurable
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    Simplicity, isolation, resource effective
  • 2
    MacOS support FAKE
  • 2
    Its cool
  • 2
    Docker hub for the FTW
  • 2
    HIgh Throughput
  • 2
    Very easy to setup integrate and build
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    Package the environment with the application
  • 2
    Super
  • 0
    Asdfd
CONS OF DOCKER
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    New versions == broken features
  • 6
    Unreliable networking
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    Documentation not always in sync
  • 4
    Moves quickly
  • 3
    Not Secure

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Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11M 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 · 9.7M 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
iTerm2 logo

iTerm2

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macOS Terminal Replacement
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PROS OF ITERM2
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    Themes
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    Tabs
CONS OF ITERM2
    Be the first to leave a con

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    Vim logo

    Vim

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      Comes by default in most unix systems (remote editing)
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      Fast
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      Highly configurable
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      Less mouse dependence
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      Lightweight
    • 145
      Speed
    • 100
      Plugins
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      Hardcore
    • 82
      It's for pros
    • 65
      Vertically split windows
    • 30
      Open-source
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      Modal editing
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      No remembering shortcuts, instead "talks" to the editor
    • 21
      It stood the Test of Time
    • 16
      Unicode
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      VimPlugins
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      Everything is on the keyboard
    • 13
      Stick with terminal
    • 12
      Dotfiles
    • 11
      Flexible Indenting
    • 10
      Hands stay on the keyboard
    • 10
      Efficient and powerful
    • 10
      Programmable
    • 9
      Everywhere
    • 9
      Large number of Shortcuts
    • 8
      A chainsaw for text editing
    • 8
      Unmatched productivity
    • 7
      Developer speed
    • 7
      Super fast
    • 7
      Makes you a true bearded developer
    • 7
      Because its not Emacs
    • 7
      Modal editing changes everything
    • 6
      You cannot exit
    • 6
      Themes
    • 5
      EasyMotion
    • 5
      Most and most powerful plugins of any editor
    • 5
      Shell escapes and shell imports :!<command> and !!cmd
    • 5
      Intergrated into most editors
    • 5
      Shortcuts
    • 5
      Great on large text files
    • 5
      Habit
    • 5
      Plugin manager options. Vim-plug, Pathogen, etc
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      Intuitive, once mastered
    • 4
      Perfect command line editor
    • 1
      Not MicroSoft
    CONS OF VIM
    • 8
      Ugly UI
    • 5
      Hard to learn

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    Denys
    Software engineer at Typeform · | 13 upvotes · 1.9M views
    • Go because it's easy and simple, facilitates collaboration , and also it's fast, scalable, powerful.
    • Visual Studio Code because it has one of the most sophisticated Go language support plugins.
    • Vim because it's Vim
    • Git because it's Git
    • Docker and Docker Compose because it's quick and easy to have reproducible builds/tests with them
    • Arch Linux because Docker for Mac/Win is a disaster for the human nervous system, and Arch is the coolest Linux distro so far
    • Stack Overflow because of Copy-Paste Driven Development
    • JavaScript and Python when a something needs to be coded for yesterday
    • PhpStorm because it saves me like 300 "Ctrl+F" key strokes a minute
    • cURL because terminal all the way
    See more
    Jerome Dalbert
    Principal Backend Software Engineer at StackShare · | 13 upvotes · 928.7K views

    I liked Sublime Text for its speed, simplicity and keyboard shortcuts which synergize well when working on scripting languages like Ruby and JavaScript. I extended the editor with custom Python scripts that improved keyboard navigability such as autofocusing the sidebar when no files are open, or changing tab closing behavior.

    But customization can only get you so far, and there were little things that I still had to use the mouse for, such as scrolling, repositioning lines on the screen, selecting the line number of a failing test stack trace from a separate plugin pane, etc. After 3 years of wearily moving my arm and hand to perform the same repetitive tasks, I decided to switch to Vim for 3 reasons:

    • your fingers literally don’t ever need to leave the keyboard home row (I had to remap the escape key though)
    • it is a reliable tool that has been around for more than 30 years and will still be around for the next 30 years
    • I wanted to "look like a hacker" by doing everything inside my terminal and by becoming a better Unix citizen

    The learning curve is very steep and it took me a year to master it, but investing time to be truly comfortable with my #TextEditor was more than worth it. To me, Vim comes close to being the perfect editor and I probably won’t need to switch ever again. It feels good to ignore new editors that come out every few years, like Atom and Visual Studio Code.

    See more
    JavaScript logo

    JavaScript

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      Lots of great frameworks
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      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
    • 0
      HORRIBLE DOCUMENTS, faulty code, repo has bugs

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    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 · 12.6M 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
    Python logo

    Python

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    A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
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    PROS OF PYTHON
    • 1.2K
      Great libraries
    • 962
      Readable code
    • 847
      Beautiful code
    • 788
      Rapid development
    • 690
      Large community
    • 438
      Open source
    • 393
      Elegant
    • 282
      Great community
    • 272
      Object oriented
    • 220
      Dynamic typing
    • 77
      Great standard library
    • 60
      Very fast
    • 55
      Functional programming
    • 49
      Easy to learn
    • 45
      Scientific computing
    • 35
      Great documentation
    • 29
      Productivity
    • 28
      Easy to read
    • 28
      Matlab alternative
    • 24
      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
      Now is better than never
    • 6
      Great for tooling
    • 6
      Readability counts
    • 6
      Rapid Prototyping
    • 6
      I love snakes
    • 6
      Flat is better than nested
    • 6
      Fast coding and good for competitions
    • 6
      There should be one-- and preferably only one --obvious
    • 6
      High Documented language
    • 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
      Many types of collections
    • 3
      Flexible and easy
    • 3
      It is Very easy , simple and will you be love programmi
    • 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
      If the implementation is easy to explain, it may be a g
    • 2
      Can understand easily who are new to programming
    • 2
      Batteries included
    • 2
      Securit
    • 2
      Good for hacking
    • 2
      Better outcome
    • 2
      Only one way to do it
    • 2
      Because of Netflix
    • 2
      A-to-Z
    • 2
      Should START with this but not STICK with This
    • 2
      Powerful language for AI
    • 1
      Automation friendly
    • 1
      Sexy af
    • 1
      Slow
    • 1
      Procedural programming
    • 0
      Ni
    • 0
      Powerful
    • 0
      Keep it simple
    CONS OF PYTHON
    • 53
      Still divided between python 2 and python 3
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      Performance impact
    • 26
      Poor syntax for anonymous functions
    • 22
      GIL
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      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 · 12.6M 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 · 4.3M 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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    Node.js logo

    Node.js

    188.2K
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    A platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
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      Npm
    • 1.3K
      Javascript
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      Great libraries
    • 1K
      High-performance
    • 805
      Open source
    • 486
      Great for apis
    • 477
      Asynchronous
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      Great community
    • 390
      Great for realtime apps
    • 296
      Great for command line utilities
    • 84
      Websockets
    • 83
      Node Modules
    • 69
      Uber Simple
    • 59
      Great modularity
    • 58
      Allows us to reuse code in the frontend
    • 42
      Easy to start
    • 35
      Great for Data Streaming
    • 32
      Realtime
    • 28
      Awesome
    • 25
      Non blocking IO
    • 18
      Can be used as a proxy
    • 17
      High performance, open source, scalable
    • 16
      Non-blocking and modular
    • 15
      Easy and Fun
    • 14
      Easy and powerful
    • 13
      Future of BackEnd
    • 13
      Same lang as AngularJS
    • 12
      Fullstack
    • 11
      Fast
    • 10
      Scalability
    • 10
      Cross platform
    • 9
      Simple
    • 8
      Mean Stack
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      Great for webapps
    • 7
      Easy concurrency
    • 6
      Typescript
    • 6
      Fast, simple code and async
    • 6
      React
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      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
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      Easy to use
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      Isomorphic coolness
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      Great community
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      Not Python
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      Sooper easy for the Backend connectivity
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      TypeScript Support
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      Blazing fast
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      Performant and fast prototyping
    • 3
      Easy to learn
    • 3
      Easy
    • 3
      Scales, fast, simple, great community, npm, express
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      One language, end-to-end
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      Less boilerplate code
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      Npm i ape-updating
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      Event Driven
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      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
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      Asynchronous programming is the worst
    • 24
      Callback
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      Javascript
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      Dependency hell
    • 11
      Dependency based on GitHub
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      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

    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

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    Nick Rockwell
    SVP, Engineering at Fastly · | 46 upvotes · 4.1M views

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

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

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

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

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    HTML5 logo

    HTML5

    148.3K
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    5th major revision of the core language of the World Wide Web
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    PROS OF HTML5
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      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
      Websockets
    • 4
      Semantical
    • 3
      Better
    • 3
      Audio element
    • 3
      Modern
    • 2
      Portability
    • 2
      Semantic Header and Footer, Geolocation, New Doctype
    • 2
      Content focused
    • 2
      Compatible
    • 1
      Very easy to learning to HTML
    CONS OF HTML5
    • 1
      Easy to forget the tags when you're a begginner
    • 1
      Long and winding code

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    Jan Vlnas
    Senior Software Engineer at Mews · | 26 upvotes · 387.2K 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 · 3M 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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