Alternatives to XWiki logo

Alternatives to XWiki

MediaWiki, DokuWiki, Confluence, JavaScript, and Git are the most popular alternatives and competitors to XWiki.
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What is XWiki and what are its top alternatives?

XWiki is a powerful open-source platform for developing collaborative websites and applications. It allows users to create structured content, access rights management, and collaboration features like comments, tags, and notifications. However, XWiki might be overwhelming for beginners due to its complexity and steep learning curve.

  1. Confluence: Confluence is a popular collaboration tool that offers features like document sharing, task management, and team collaboration. Its user-friendly interface and integrations with other tools make it a strong alternative to XWiki. Pros: Intuitive interface, seamless integrations. Cons: Expensive pricing for larger teams.
  2. Notion: Notion is a versatile all-in-one workspace that allows users to create documents, databases, and project boards. Its customizable features and easy-to-use interface make it an attractive alternative to XWiki. Pros: User-friendly, flexible customization. Cons: Limited free plan features.
  3. DokuWiki: DokuWiki is a simple open-source wiki software that focuses on easy installation and maintenance. Its lightweight design and extensive plugin library make it a great alternative to XWiki for smaller projects. Pros: Lightweight, easy installation. Cons: Limited advanced features.
  4. MediaWiki: MediaWiki is a free open-source wiki software used by Wikipedia. It offers powerful features like page templates, content versioning, and user authentication. Pros: Robust features, widely used. Cons: Steeper learning curve for beginners.
  5. Twiki: TWiki is an open-source platform for collaboration that focuses on structured content and search capabilities. Its plugin architecture and access control features make it a solid alternative to XWiki. Pros: Structured content, customizable plugins. Cons: Less modern interface.
  6. Zoho Wiki: Zoho Wiki is a cloud-based platform for creating knowledge bases, wikis, and documentation. Its real-time editing, team collaboration, and access control features make it a great alternative to XWiki for teams. Pros: Cloud-based, real-time editing. Cons: Limited customization options.
  7. BookStack: BookStack is a simple and collaborative platform for organizing and managing documentation. Its intuitive interface, nested hierarchies, and access control features make it a viable alternative to XWiki for small teams. Pros: Simple interface, nested hierarchies. Cons: Limited customization.
  8. Tiki Wiki CMS Groupware: Tiki Wiki CMS Groupware is an open-source platform that offers a wide range of features like wiki pages, forums, blogs, and more. Its extensive feature set and community support make it a comprehensive alternative to XWiki. Pros: Feature-rich, active community. Cons: Complex to set up and customize.
  9. Wiki.js: Wiki.js is a modern open-source wiki software that offers features like markdown editing, real-time preview, and search capabilities. Its lightweight design and simplicity make it a user-friendly alternative to XWiki. Pros: Markdown editing, user-friendly interface. Cons: Limited advanced features.
  10. WikkaWiki: WikkaWiki is a lightweight and flexible wiki software that focuses on simplicity and extensibility. Its easy installation process, plugin support, and user management features make it a viable alternative to XWiki for smaller projects. Pros: Lightweight, extensible. Cons: Less modern interface.

Top Alternatives to XWiki

  • MediaWiki
    MediaWiki

    It is a free server-based software. It is an extremely powerful, scalable software and a feature-rich wiki implementation that uses PHP to process and display data stored in a database, such as MySQL. ...

  • DokuWiki
    DokuWiki

    It is a simple to use and highly versatile Open Source wiki software that doesn't require a database. It has clean and readable syntax. The ease of maintenance, backup and integration makes it an administrator's favorite. Built in access controls and authentication connectors make it especially useful in the enterprise context and the large number of plugins contributed by its vibrant community allow for a broad range of use cases beyond a traditional wiki. ...

  • Confluence
    Confluence

    Capture the knowledge that's too often lost in email inboxes and shared network drives in Confluence instead – where it's easy to find, use, and update. ...

  • 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. ...

  • jQuery
    jQuery

    jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML. ...

XWiki alternatives & related posts

MediaWiki logo

MediaWiki

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A free and open-source wiki engine
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PROS OF MEDIAWIKI
    Be the first to leave a pro
    CONS OF MEDIAWIKI
      Be the first to leave a con

      related MediaWiki posts

      DokuWiki logo

      DokuWiki

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      Open Source wiki software that doesn't require a database
      70
      98
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      PROS OF DOKUWIKI
        Be the first to leave a pro
        CONS OF DOKUWIKI
          Be the first to leave a con

          related DokuWiki posts

          Confluence logo

          Confluence

          26K
          19K
          202
          One place to share, find, and collaborate on information
          26K
          19K
          + 1
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          PROS OF CONFLUENCE
          • 94
            Wiki search power
          • 62
            WYSIWYG editor
          • 43
            Full featured, works well with embedded docs
          • 3
            Expensive licenses
          CONS OF CONFLUENCE
          • 3
            Expensive license

          related Confluence posts

          David Ritsema
          Frontend Architect at Herman Miller · | 11 upvotes · 704.4K views

          We knew how we wanted to build our Design System, now it was time to choose the tools to get us there. The essence of Scrum is a small team of people. The team is highly flexible and adaptive. Perfect, so we'll work in 2 week sprints where each sprint can be a mix of new R&D stories, a presentation of decisions made, and showcasing key development milestones.

          We are also able to run content stories in parallel, focusing development efforts around key areas of the site that our authors need first. Our stories would exist in a Jira backlog, documentation would be hosted in Confluence , and GitHub would host our codebase. If developers identify technical improvements during the sprint, they can be added as GitHub issues and transferred to Jira if we decide to represent them as stories for the Backlog. For Sprint Retrospectives, @groupmap proved to be a great way to include our remote members of the dev team.

          This worked well for our team and allowed us to be flexible in what we wanted to build and how we wanted to build it. As we further defined our Backlog and estimated each story, we could accurately measure the team's capacity (velocity) and confidently estimate a launch date.

          See more
          Priit Kaasik
          CTO at Katana Cloud Inventory · | 9 upvotes · 554.5K views

          As a new company we could early adopt and bet on #RemoteTeam setup without cultural baggage derailing us. Our building blocks for developing remote working culture are:

          • Hiring people who are self sufficient, self-disciplined and excel at video and written communication to work remotely
          • Set up periodic ceremonies ( #DailyStandup, #Grooming, Release calls and chats etc) to keep the company rhythm / heartbeat going across remote cells
          • Regularly train your leaders to take into account remote working aspects of organizing f2f calls, events, meetups, parties etc. when communicating and organizing workflows
          • And last, but not least - select the right tools to support effective communication and collaboration:
          1. All feeds and conversations come together in Slack
          2. #Agile workflows in Jira
          3. InProductCommunication and #CustomerSupportChat in Intercom
          4. #Notes, #Documentation and #Requirements in Confluence
          5. #SourceCode and ContinuousDelivery in Bitbucket
          6. Persistent video streams between locations, demos, meetings run on appear.in
          7. #Logging and Alerts in Papertrail
          See more
          JavaScript logo

          JavaScript

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            Fast
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            Light weight
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            Flexible
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            You can't get a device today that doesn't run js
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            Non-blocking i/o
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            Ubiquitousness
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            Expressive
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            Extended functionality to web pages
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            Relatively easy language
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            Executed on the client side
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            Relatively fast to the end user
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            Pure Javascript
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            Functional programming
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            Async
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            Full-stack
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            Setup is easy
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            Future Language of The Web
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            Its everywhere
          • 11
            Because I love functions
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            JavaScript is the New PHP
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            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
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            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
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            Agile, packages simple to use
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            Love-hate relationship
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            Photoshop has 3 JS runtimes built in
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            Evolution of C
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            It's fun
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            Hard not to use
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            Versitile
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            Its fun and fast
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            Nice
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            Popularized Class-Less Architecture & Lambdas
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            Supports lambdas and closures
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            It let's me use Babel & Typescript
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            Can be used on frontend/backend/Mobile/create PRO Ui
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            1.6K Can be used on frontend/backend
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            Client side JS uses the visitors CPU to save Server Res
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            Easy to make something
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            Clojurescript
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            Promise relationship
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            Stockholm Syndrome
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            Function expressions are useful for callbacks
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            Scope manipulation
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            Everywhere
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            Client processing
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            What to add
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            Because it is so simple and lightweight
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            Only Programming language on browser
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            Hard 彤
          CONS OF JAVASCRIPT
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            A constant moving target, too much churn
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            Horribly inconsistent
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            Javascript is the New PHP
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            No ability to monitor memory utilitization
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            Shows Zero output in case of ANY error
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            Thinks strange results are better than errors
          • 6
            Can be ugly
          • 3
            No GitHub
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            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

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          • 1.1K
            Efficient branching and merging
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            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
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            Easy branching and merging
          • 2
            Compatible
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            Flexible
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            Possible to lose history and commits
          • 1
            Rebase supported natively; reflog; access to plumbing
          • 1
            Light
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            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
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            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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          Powerful collaboration, review, and code management for open source and private development projects
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            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
            Easy to discover new code libraries
          • 6
            Smooth integration
          • 6
            Cloud SCM
          • 6
            Nice API
          • 6
            Graphs
          • 6
            Integrations
          • 6
            It's awesome
          • 5
            Quick Onboarding
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            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
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            IAM
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            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
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            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

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            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)

          related Python posts

          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

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          Nick Parsons
          Building cool things on the internet 🛠️ at Stream · | 35 upvotes · 3.9M 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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          jQuery logo

          jQuery

          190.5K
          67.1K
          6.6K
          The Write Less, Do More, JavaScript Library.
          190.5K
          67.1K
          + 1
          6.6K
          PROS OF JQUERY
          • 1.3K
            Cross-browser
          • 957
            Dom manipulation
          • 809
            Power
          • 660
            Open source
          • 610
            Plugins
          • 459
            Easy
          • 395
            Popular
          • 350
            Feature-rich
          • 281
            Html5
          • 227
            Light weight
          • 93
            Simple
          • 84
            Great community
          • 79
            CSS3 Compliant
          • 69
            Mobile friendly
          • 67
            Fast
          • 43
            Intuitive
          • 42
            Swiss Army knife for webdev
          • 35
            Huge Community
          • 11
            Easy to learn
          • 4
            Clean code
          • 3
            Because of Ajax request :)
          • 2
            Powerful
          • 2
            Nice
          • 2
            Just awesome
          • 2
            Used everywhere
          • 1
            Improves productivity
          • 1
            Javascript
          • 1
            Easy Setup
          • 1
            Open Source, Simple, Easy Setup
          • 1
            It Just Works
          • 1
            Industry acceptance
          • 1
            Allows great manipulation of HTML and CSS
          • 1
            Widely Used
          • 1
            I love jQuery
          CONS OF JQUERY
          • 6
            Large size
          • 5
            Sometimes inconsistent API
          • 5
            Encourages DOM as primary data source
          • 2
            Live events is overly complex feature

          related jQuery posts

          Kir Shatrov
          Engineering Lead at Shopify · | 22 upvotes · 2M views

          The client-side stack of Shopify Admin has been a long journey. It started with HTML templates, jQuery and Prototype. We moved to Batman.js, our in-house Single-Page-Application framework (SPA), in 2013. Then, we re-evaluated our approach and moved back to statically rendered HTML and vanilla JavaScript. As the front-end ecosystem matured, we felt that it was time to rethink our approach again. Last year, we started working on moving Shopify Admin to React and TypeScript.

          Many things have changed since the days of jQuery and Batman. JavaScript execution is much faster. We can easily render our apps on the server to do less work on the client, and the resources and tooling for developers are substantially better with React than we ever had with Batman.

          #FrameworksFullStack #Languages

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          Ganesa Vijayakumar
          Full Stack Coder | Technical Lead · | 19 upvotes · 4.8M views

          I'm planning to create a web application and also a mobile application to provide a very good shopping experience to the end customers. Shortly, my application will be aggregate the product details from difference sources and giving a clear picture to the user that when and where to buy that product with best in Quality and cost.

          I have planned to develop this in many milestones for adding N number of features and I have picked my first part to complete the core part (aggregate the product details from different sources).

          As per my work experience and knowledge, I have chosen the followings stacks to this mission.

          UI: I would like to develop this application using React, React Router and React Native since I'm a little bit familiar on this and also most importantly these will help on developing both web and mobile apps. In addition, I'm gonna use the stacks JavaScript, jQuery, jQuery UI, jQuery Mobile, Bootstrap wherever required.

          Service: I have planned to use Java as the main business layer language as I have 7+ years of experience on this I believe I can do better work using Java than other languages. In addition, I'm thinking to use the stacks Node.js.

          Database and ORM: I'm gonna pick MySQL as DB and Hibernate as ORM since I have a piece of good knowledge and also work experience on this combination.

          Search Engine: I need to deal with a large amount of product data and it's in-detailed info to provide enough details to end user at the same time I need to focus on the performance area too. so I have decided to use Solr as a search engine for product search and suggestions. In addition, I'm thinking to replace Solr by Elasticsearch once explored/reviewed enough about Elasticsearch.

          Host: As of now, my plan to complete the application with decent features first and deploy it in a free hosting environment like Docker and Heroku and then once it is stable then I have planned to use the AWS products Amazon S3, EC2, Amazon RDS and Amazon Route 53. I'm not sure about Microsoft Azure that what is the specialty in it than Heroku and Amazon EC2 Container Service. Anyhow, I will do explore these once again and pick the best suite one for my requirement once I reached this level.

          Build and Repositories: I have decided to choose Apache Maven and Git as these are my favorites and also so popular on respectively build and repositories.

          Additional Utilities :) - I would like to choose Codacy for code review as their Startup plan will be very helpful to this application. I'm already experienced with Google CheckStyle and SonarQube even I'm looking something on Codacy.

          Happy Coding! Suggestions are welcome! :)

          Thanks, Ganesa

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