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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
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
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
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 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 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 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 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 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
- Vast array of extensions65
- Have all you can imagine44
- Everything i need in one place40
- Portability39
- Customer config32
- Your config works on any platform16
- Low memory consumption13
- Perfect for monsters11
- All life inside one program10
- Extendable, portable, fast - all at your fingertips8
- Enables extremely rapid keyboard-only navigation6
- Widely-used keybindings (e.g. by bash)5
- Extensible in Lisp5
- Runs everywhere important5
- FOSS Software4
- Powerful multilanguage IDE4
- Git integration4
- May be old but always reliable4
- Asynchronous3
- Powerful UI3
- Huge ecosystem1
- So good and extensible, that one can get sidetracked4
- Hard to learn for beginners4
- Not default preinstalled in GNU/linux1
related Emacs posts
- Rapid integration and build up823
- Isolation692
- Open source521
- Testability and reproducibility505
- Lightweight460
- Standardization218
- Scalable185
- Upgrading / downgrading / application versions106
- Security88
- Private paas environments85
- Portability34
- Limit resource usage26
- Game changer17
- I love the way docker has changed virtualization16
- Fast14
- Concurrency12
- Docker's Compose tools8
- Easy setup6
- Fast and Portable6
- Because its fun5
- Makes shipping to production very simple4
- Highly useful3
- It's dope3
- Package the environment with the application2
- Super2
- Open source and highly configurable2
- Simplicity, isolation, resource effective2
- MacOS support FAKE2
- Its cool2
- Does a nice job hogging memory2
- Docker hub for the FTW2
- HIgh Throughput2
- Very easy to setup integrate and build2
- Asdfd0
- New versions == broken features8
- Unreliable networking6
- Documentation not always in sync6
- Moves quickly4
- Not Secure3
related Docker posts
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.
I have got a small radio service running on Node.js. Front end is written with React and packed with Webpack . I use Docker for my #DeploymentWorkflow along with Docker Swarm and GitLab CI on a single Google Compute Engine instance, which is also a runner itself. Pretty unscalable decision but it works great for tiny projects. The project is available on https://fridgefm.com
related iTerm2 posts
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- Fast328
- Highly configurable312
- Less mouse dependence297
- Lightweight247
- Speed145
- Plugins100
- Hardcore97
- It's for pros82
- Vertically split windows65
- Open-source30
- Modal editing25
- No remembering shortcuts, instead "talks" to the editor22
- It stood the Test of Time21
- Unicode16
- VimPlugins13
- Everything is on the keyboard13
- Stick with terminal13
- Dotfiles12
- Flexible Indenting11
- Hands stay on the keyboard10
- Efficient and powerful10
- Programmable10
- Everywhere9
- Large number of Shortcuts9
- A chainsaw for text editing8
- Unmatched productivity8
- Developer speed7
- Super fast7
- Makes you a true bearded developer7
- Because its not Emacs7
- Modal editing changes everything7
- You cannot exit6
- Themes6
- EasyMotion5
- Most and most powerful plugins of any editor5
- Shell escapes and shell imports :!<command> and !!cmd5
- Intergrated into most editors5
- Shortcuts5
- Great on large text files5
- Habit5
- Plugin manager options. Vim-plug, Pathogen, etc5
- Intuitive, once mastered4
- Perfect command line editor4
- Not MicroSoft1
- Ugly UI8
- Hard to learn5
related Vim posts
- 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
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.
JavaScript
- Can be used on frontend/backend1.7K
- It's everywhere1.5K
- Lots of great frameworks1.2K
- Fast899
- Light weight746
- Flexible425
- You can't get a device today that doesn't run js392
- Non-blocking i/o286
- Ubiquitousness237
- Expressive191
- Extended functionality to web pages55
- Relatively easy language49
- Executed on the client side46
- Relatively fast to the end user30
- Pure Javascript25
- Functional programming21
- Async15
- Full-stack13
- Its everywhere12
- Future Language of The Web12
- Setup is easy12
- JavaScript is the New PHP11
- Because I love functions11
- Like it or not, JS is part of the web standard10
- Everyone use it9
- Can be used in backend, frontend and DB9
- Easy9
- Expansive community9
- For the good parts8
- Easy to hire developers8
- No need to use PHP8
- Most Popular Language in the World8
- Powerful8
- Can be used both as frontend and backend as well8
- It's fun7
- Its fun and fast7
- Popularized Class-Less Architecture & Lambdas7
- Agile, packages simple to use7
- Supports lambdas and closures7
- Love-hate relationship7
- Photoshop has 3 JS runtimes built in7
- Evolution of C7
- Hard not to use7
- Versitile7
- Nice7
- Easy to make something6
- Can be used on frontend/backend/Mobile/create PRO Ui6
- 1.6K Can be used on frontend/backend6
- Client side JS uses the visitors CPU to save Server Res6
- It let's me use Babel & Typescript6
- Clojurescript5
- Everywhere5
- Scope manipulation5
- Function expressions are useful for callbacks5
- Stockholm Syndrome5
- Promise relationship5
- Client processing5
- What to add5
- Because it is so simple and lightweight4
- Only Programming language on browser4
- Subskill #41
- Test21
- Easy to understand1
- Not the best1
- Easy to learn1
- Hard to learn1
- Easy to learn and test1
- Love it1
- Test1
- Hard 彤0
- A constant moving target, too much churn22
- Horribly inconsistent20
- Javascript is the New PHP15
- No ability to monitor memory utilitization9
- Shows Zero output in case of ANY error8
- Thinks strange results are better than errors7
- Can be ugly6
- No GitHub3
- Slow2
- HORRIBLE DOCUMENTS, faulty code, repo has bugs0
related JavaScript posts
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.
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
Python
- Great libraries1.2K
- Readable code965
- Beautiful code848
- Rapid development789
- Large community692
- Open source439
- Elegant394
- Great community283
- Object oriented274
- Dynamic typing222
- Great standard library78
- Very fast62
- Functional programming56
- Easy to learn52
- Scientific computing47
- Great documentation36
- Productivity30
- Matlab alternative29
- Easy to read29
- Simple is better than complex25
- It's the way I think21
- Imperative20
- Very programmer and non-programmer friendly19
- Free19
- Powerfull language17
- Machine learning support17
- Fast and simple16
- Scripting14
- Explicit is better than implicit12
- Ease of development11
- Clear and easy and powerfull10
- Unlimited power9
- It's lean and fun to code8
- Import antigravity8
- Print "life is short, use python"7
- Python has great libraries for data processing7
- Although practicality beats purity6
- Fast coding and good for competitions6
- There should be one-- and preferably only one --obvious6
- High Documented language6
- Readability counts6
- Rapid Prototyping6
- I love snakes6
- Now is better than never6
- Flat is better than nested6
- Great for tooling6
- Great for analytics5
- Web scraping5
- Lists, tuples, dictionaries5
- Complex is better than complicated4
- Socially engaged community4
- Plotting4
- Beautiful is better than ugly4
- Easy to learn and use4
- Easy to setup and run smooth4
- Simple and easy to learn4
- Multiple Inheritence4
- CG industry needs4
- List comprehensions3
- Powerful language for AI3
- Flexible and easy3
- It is Very easy , simple and will you be love programmi3
- Many types of collections3
- If the implementation is easy to explain, it may be a g3
- If the implementation is hard to explain, it's a bad id3
- Special cases aren't special enough to break the rules3
- Pip install everything3
- No cruft3
- Generators3
- Import this3
- Can understand easily who are new to programming2
- Securit2
- Should START with this but not STICK with This2
- A-to-Z2
- Because of Netflix2
- Only one way to do it2
- Better outcome2
- Good for hacking2
- Batteries included2
- Procedural programming2
- Sexy af1
- Automation friendly1
- Slow1
- Best friend for NLP1
- Powerful0
- Keep it simple0
- Ni0
- Still divided between python 2 and python 353
- Performance impact28
- Poor syntax for anonymous functions26
- GIL22
- Package management is a mess19
- Too imperative-oriented14
- Hard to understand12
- Dynamic typing12
- Very slow12
- Indentations matter a lot8
- Not everything is expression8
- Incredibly slow7
- Explicit self parameter in methods7
- Requires C functions for dynamic modules6
- Poor DSL capabilities6
- No anonymous functions6
- Fake object-oriented programming5
- Threading5
- The "lisp style" whitespaces5
- Official documentation is unclear.5
- Hard to obfuscate5
- Circular import5
- Lack of Syntax Sugar leads to "the pyramid of doom"4
- The benevolent-dictator-for-life quit4
- Not suitable for autocomplete4
- Meta classes2
- Training wheels (forced indentation)1
related Python posts
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
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.
Node.js
- Npm1.4K
- Javascript1.3K
- Great libraries1.1K
- High-performance1K
- Open source805
- Great for apis487
- Asynchronous477
- Great community425
- Great for realtime apps390
- Great for command line utilities296
- Websockets86
- Node Modules84
- Uber Simple69
- Great modularity59
- Allows us to reuse code in the frontend58
- Easy to start42
- Great for Data Streaming35
- Realtime32
- Awesome28
- Non blocking IO25
- Can be used as a proxy18
- High performance, open source, scalable17
- Non-blocking and modular16
- Easy and Fun15
- Easy and powerful14
- Future of BackEnd13
- Same lang as AngularJS13
- Fullstack12
- Fast11
- Scalability10
- Cross platform10
- Simple9
- Mean Stack8
- Great for webapps7
- Easy concurrency7
- Typescript6
- Fast, simple code and async6
- React6
- Friendly6
- Control everything5
- Its amazingly fast and scalable5
- Easy to use and fast and goes well with JSONdb's5
- Scalable5
- Great speed5
- Fast development5
- It's fast4
- Easy to use4
- Isomorphic coolness4
- Great community3
- Not Python3
- Sooper easy for the Backend connectivity3
- TypeScript Support3
- Blazing fast3
- Performant and fast prototyping3
- Easy to learn3
- Easy3
- Scales, fast, simple, great community, npm, express3
- One language, end-to-end3
- Less boilerplate code3
- Npm i ape-updating2
- Event Driven2
- Lovely2
- Creat for apis1
- Node0
- Bound to a single CPU46
- New framework every day45
- Lots of terrible examples on the internet40
- Asynchronous programming is the worst33
- Callback24
- Javascript19
- Dependency hell11
- Dependency based on GitHub11
- Low computational power10
- Very very Slow7
- Can block whole server easily7
- Callback functions may not fire on expected sequence7
- Breaking updates4
- Unstable4
- Unneeded over complication3
- No standard approach3
- Bad transitive dependency management1
- Can't read server session1
related Node.js posts
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?
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:
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
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.
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
- New doctype448
- Local storage389
- Canvas334
- Semantic header and footer285
- Video element240
- Geolocation121
- Form autofocus106
- Email inputs100
- Editable content85
- Application caches79
- Easy to use10
- Cleaner Code9
- Easy5
- Websockets4
- Semantical4
- Audio element3
- Content focused3
- Better3
- Modern3
- Compatible2
- Very easy to learning to HTML2
- Semantic Header and Footer, Geolocation, New Doctype2
- Portability2
- Easy to forget the tags when you're a begginner2
- Long and winding code1
related HTML5 posts
Hey guys, I need some advice on one thing. Currently, I am a fresher and know HTML5, CSS, JavaScript, PHP and, MySQL. Recently I got a client project through one of my friends and he wants me to build an E-learning Management System. Are these skills enough to build an LMS website?
Thanks in advance!! ;)
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.