Alternatives to Chocolatey logo

Alternatives to Chocolatey

NuGet, Bazel, Scoop.sh, npm, and Homebrew are the most popular alternatives and competitors to Chocolatey.
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What is Chocolatey and what are its top alternatives?

It is based on a developer-centric package manager called NuGet. Unlike manual installations, It adds, updates, and uninstalls programs in the background requiring very little user interaction.
Chocolatey is a tool in the Package Managers category of a tech stack.

Top Alternatives to Chocolatey

  • NuGet
    NuGet

    A free and open-source package manager designed for the Microsoft development platform. It is also distributed as a Visual Studio extension. ...

  • Bazel
    Bazel

    Bazel is a build tool that builds code quickly and reliably. It is used to build the majority of Google's software, and thus it has been designed to handle build problems present in Google's development environment. ...

  • Scoop.sh
    Scoop.sh

    It installs programs to your home directory by default. So you don’t need admin permissions to install programs, and you won’t see UAC popups every time you need to add or remove a program. ...

  • npm
    npm

    npm is the command-line interface to the npm ecosystem. It is battle-tested, surprisingly flexible, and used by hundreds of thousands of JavaScript developers every day. ...

  • Homebrew
    Homebrew

    Homebrew installs the stuff you need that Apple didn’t. Homebrew installs packages to their own directory and then symlinks their files into /usr/local. ...

  • Anaconda
    Anaconda

    A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda. ...

  • 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. ...

Chocolatey alternatives & related posts

NuGet logo

NuGet

4.7K
164
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The package manager for .NET
4.7K
164
+ 1
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PROS OF NUGET
  • 0
    Best package (and maybe only 1) management for .NET
CONS OF NUGET
    Be the first to leave a con

    related NuGet posts

    Bazel logo

    Bazel

    301
    568
    133
    Build and test software of any size, quickly and reliably
    301
    568
    + 1
    133
    PROS OF BAZEL
    • 28
      Fast
    • 20
      Deterministic incremental builds
    • 17
      Correct
    • 16
      Multi-language
    • 14
      Enforces declared inputs/outputs
    • 10
      High-level build language
    • 9
      Scalable
    • 5
      Multi-platform support
    • 5
      Sandboxing
    • 4
      Dependency management
    • 2
      Windows Support
    • 2
      Flexible
    • 1
      Android Studio integration
    CONS OF BAZEL
    • 3
      No Windows Support
    • 2
      Bad IntelliJ support
    • 1
      Poor windows support for some languages
    • 1
      Constant breaking changes
    • 1
      Learning Curve
    • 1
      Lack of Documentation

    related Bazel posts

    Joshua Dean Küpper
    CEO at Scrayos UG (haftungsbeschränkt) · | 2 upvotes · 333.1K views

    All Java-Projects are compiled using Apache Maven. We prefer it over Apache Ant and Gradle as it combines lightweightness with feature-richness and offers basically all we can imagine from a software project-management tool and more. We're open however to re-evaluate this decision in favor of Gradle or Bazel in the future if we feel like we're missing out on anything.

    See more
    Scoop.sh logo

    Scoop.sh

    24
    27
    0
    A command-line installer for Windows.
    24
    27
    + 1
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    PROS OF SCOOP.SH
      Be the first to leave a pro
      CONS OF SCOOP.SH
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        related Scoop.sh posts

        npm logo

        npm

        123.3K
        79.9K
        1.6K
        The package manager for JavaScript.
        123.3K
        79.9K
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        PROS OF NPM
        • 647
          Best package management system for javascript
        • 382
          Open-source
        • 327
          Great community
        • 148
          More packages than rubygems, pypi, or packagist
        • 112
          Nice people matter
        • 6
          As fast as yarn but really free of facebook
        • 6
          Audit feature
        • 4
          Good following
        • 1
          Super fast
        • 1
          Stability
        CONS OF NPM
        • 5
          Problems with lockfiles
        • 5
          Bad at package versioning and being deterministic
        • 3
          Node-gyp takes forever
        • 1
          Super slow

        related npm posts

        Simon Reymann
        Senior Fullstack Developer at QUANTUSflow Software GmbH · | 27 upvotes · 4.8M views

        Our whole Node.js backend stack consists of the following tools:

        • Lerna as a tool for multi package and multi repository management
        • npm as package manager
        • NestJS as Node.js framework
        • TypeScript as programming language
        • ExpressJS as web server
        • Swagger UI for visualizing and interacting with the API’s resources
        • Postman as a tool for API development
        • TypeORM as object relational mapping layer
        • JSON Web Token for access token management

        The main reason we have chosen Node.js over PHP is related to the following artifacts:

        • Made for the web and widely in use: Node.js is a software platform for developing server-side network services. Well-known projects that rely on Node.js include the blogging software Ghost, the project management tool Trello and the operating system WebOS. Node.js requires the JavaScript runtime environment V8, which was specially developed by Google for the popular Chrome browser. This guarantees a very resource-saving architecture, which qualifies Node.js especially for the operation of a web server. Ryan Dahl, the developer of Node.js, released the first stable version on May 27, 2009. He developed Node.js out of dissatisfaction with the possibilities that JavaScript offered at the time. The basic functionality of Node.js has been mapped with JavaScript since the first version, which can be expanded with a large number of different modules. The current package managers (npm or Yarn) for Node.js know more than 1,000,000 of these modules.
        • Fast server-side solutions: Node.js adopts the JavaScript "event-loop" to create non-blocking I/O applications that conveniently serve simultaneous events. With the standard available asynchronous processing within JavaScript/TypeScript, highly scalable, server-side solutions can be realized. The efficient use of the CPU and the RAM is maximized and more simultaneous requests can be processed than with conventional multi-thread servers.
        • A language along the entire stack: Widely used frameworks such as React or AngularJS or Vue.js, which we prefer, are written in JavaScript/TypeScript. If Node.js is now used on the server side, you can use all the advantages of a uniform script language throughout the entire application development. The same language in the back- and frontend simplifies the maintenance of the application and also the coordination within the development team.
        • Flexibility: Node.js sets very few strict dependencies, rules and guidelines and thus grants a high degree of flexibility in application development. There are no strict conventions so that the appropriate architecture, design structures, modules and features can be freely selected for the development.
        See more
        Johnny Bell

        So when starting a new project you generally have your go to tools to get your site up and running locally, and some scripts to build out a production version of your site. Create React App is great for that, however for my projects I feel as though there is to much bloat in Create React App and if I use it, then I'm tied to React, which I love but if I want to switch it up to Vue or something I want that flexibility.

        So to start everything up and running I clone my personal Webpack boilerplate - This is still in Webpack 3, and does need some updating but gets the job done for now. So given the name of the repo you may have guessed that yes I am using Webpack as my bundler I use Webpack because it is so powerful, and even though it has a steep learning curve once you get it, its amazing.

        The next thing I do is make sure my machine has Node.js configured and the right version installed then run Yarn. I decided to use Yarn because when I was building out this project npm had some shortcomings such as no .lock file. I could probably move from Yarn to npm but I don't really see any point really.

        I use Babel to transpile all of my #ES6 to #ES5 so the browser can read it, I love Babel and to be honest haven't looked up any other transpilers because Babel is amazing.

        Finally when developing I have Prettier setup to make sure all my code is clean and uniform across all my JS files, and ESLint to make sure I catch any errors or code that could be optimized.

        I'm really happy with this stack for my local env setup, and I'll probably stick with it for a while.

        See more
        Homebrew logo

        Homebrew

        575
        505
        3
        The Missing Package Manager for macOS
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        3
        PROS OF HOMEBREW
        • 3
          Clean, neat, powerful, fast and furious
        CONS OF HOMEBREW
          Be the first to leave a con

          related Homebrew posts

          Anaconda logo

          Anaconda

          429
          485
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          The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders
          429
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          0
          PROS OF ANACONDA
            Be the first to leave a pro
            CONS OF ANACONDA
              Be the first to leave a con

              related Anaconda posts

              Which one of these should I install? I am a beginner and starting to learn to code. I have Anaconda, Visual Studio Code ( vscode recommended me to install Git) and I am learning Python, JavaScript, and MySQL for educational purposes. Also if you have any other pro-tips or advice for me please share.

              Yours thankfully, Darkhiem

              See more
              Shared insights
              on
              JavaJavaAnacondaAnacondaPythonPython

              I am going to learn machine learning and self host an online IDE, the tool that i may use is Python, Anaconda, various python library and etc. which tools should i go for? this may include Java development, web development. Now i have 1 more candidate which are visual studio code online (code server). i will host on google cloud

              See more
              JavaScript logo

              JavaScript

              354.7K
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              Lightweight, interpreted, object-oriented language with first-class functions
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              PROS OF JAVASCRIPT
              • 1.7K
                Can be used on frontend/backend
              • 1.5K
                It's everywhere
              • 1.2K
                Lots of great frameworks
              • 897
                Fast
              • 745
                Light weight
              • 425
                Flexible
              • 392
                You can't get a device today that doesn't run js
              • 286
                Non-blocking i/o
              • 237
                Ubiquitousness
              • 191
                Expressive
              • 55
                Extended functionality to web pages
              • 49
                Relatively easy language
              • 46
                Executed on the client side
              • 30
                Relatively fast to the end user
              • 25
                Pure Javascript
              • 21
                Functional programming
              • 15
                Async
              • 13
                Full-stack
              • 12
                Setup is easy
              • 12
                Future Language of The Web
              • 12
                Its everywhere
              • 11
                Because I love functions
              • 11
                JavaScript is the New PHP
              • 10
                Like it or not, JS is part of the web standard
              • 9
                Everyone use it
              • 9
                Expansive community
              • 9
                Easy
              • 9
                Can be used in backend, frontend and DB
              • 8
                Easy to hire developers
              • 8
                No need to use PHP
              • 8
                For the good parts
              • 8
                Can be used both as frontend and backend as well
              • 8
                Powerful
              • 8
                Most Popular Language in the World
              • 7
                Evolution of C
              • 7
                Hard not to use
              • 7
                Versitile
              • 7
                Its fun and fast
              • 7
                Supports lambdas and closures
              • 7
                Love-hate relationship
              • 7
                Photoshop has 3 JS runtimes built in
              • 7
                Nice
              • 7
                It's fun
              • 7
                Popularized Class-Less Architecture & Lambdas
              • 7
                Agile, packages simple to use
              • 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
                It let's me use Babel & Typescript
              • 6
                Easy to make something
              • 5
                Client processing
              • 5
                Everywhere
              • 5
                Scope manipulation
              • 5
                Function expressions are useful for callbacks
              • 5
                Stockholm Syndrome
              • 5
                Promise relationship
              • 5
                Clojurescript
              • 5
                What to add
              • 4
                Only Programming language on browser
              • 4
                Because it is so simple and lightweight
              • 1
                Easy to understand
              • 1
                Test
              • 1
                Test2
              • 1
                Subskill #4
              • 1
                Easy to learn
              • 1
                Hard to learn
              • 1
                Not the best
              • 0
                Hard 彤
              CONS OF JAVASCRIPT
              • 22
                A constant moving target, too much churn
              • 20
                Horribly inconsistent
              • 15
                Javascript is the New PHP
              • 9
                No ability to monitor memory utilitization
              • 8
                Shows Zero output in case of ANY error
              • 7
                Thinks strange results are better than errors
              • 6
                Can be ugly
              • 3
                No GitHub
              • 2
                Slow
              • 0
                HORRIBLE DOCUMENTS, faulty code, repo has bugs

              related JavaScript posts

              Zach Holman

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

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

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

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

              See more
              Conor Myhrvold
              Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 11.2M views

              How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

              Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

              Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

              https://eng.uber.com/distributed-tracing/

              (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

              Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

              See more
              Git logo

              Git

              293.8K
              175.9K
              6.6K
              Fast, scalable, distributed revision control system
              293.8K
              175.9K
              + 1
              6.6K
              PROS OF GIT
              • 1.4K
                Distributed version control system
              • 1.1K
                Efficient branching and merging
              • 959
                Fast
              • 845
                Open source
              • 726
                Better than svn
              • 368
                Great command-line application
              • 306
                Simple
              • 291
                Free
              • 232
                Easy to use
              • 222
                Does not require server
              • 27
                Distributed
              • 22
                Small & Fast
              • 18
                Feature based workflow
              • 15
                Staging Area
              • 13
                Most wide-spread VSC
              • 11
                Role-based codelines
              • 11
                Disposable Experimentation
              • 7
                Frictionless Context Switching
              • 6
                Data Assurance
              • 5
                Efficient
              • 4
                Just awesome
              • 3
                Github integration
              • 3
                Easy branching and merging
              • 2
                Compatible
              • 2
                Flexible
              • 2
                Possible to lose history and commits
              • 1
                Rebase supported natively; reflog; access to plumbing
              • 1
                Light
              • 1
                Team Integration
              • 1
                Fast, scalable, distributed revision control system
              • 1
                Easy
              • 1
                Flexible, easy, Safe, and fast
              • 1
                CLI is great, but the GUI tools are awesome
              • 1
                It's what you do
              • 0
                Phinx
              CONS OF GIT
              • 16
                Hard to learn
              • 11
                Inconsistent command line interface
              • 9
                Easy to lose uncommitted work
              • 7
                Worst documentation ever possibly made
              • 5
                Awful merge handling
              • 3
                Unexistent preventive security flows
              • 3
                Rebase hell
              • 2
                When --force is disabled, cannot rebase
              • 2
                Ironically even die-hard supporters screw up badly
              • 1
                Doesn't scale for big data

              related Git posts

              Simon Reymann
              Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 10M 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 · 9M 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