Browserify vs Capistrano
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Capistrano is a remote server automation tool. It supports the scripting and execution of arbitrary tasks, and includes a set of sane-default deployment workflows. | Browserify lets you require('modules') in the browser by bundling up all of your dependencies. |
Reliably deploy web application to any number of machines simultaneously, in sequence or as a rolling set;Automate audits of any number of machines (checking login logs, enumerating uptimes, and/or applying security patches);Script arbitrary workflows over SSH;Automate common tasks in software teams;Drive infrastructure provisioning tools such as chef-solo, Ansible or similar | Use a node-style require() to organize your browser code and load modules installed by npm.;browserify will recursively analyze all the require() calls in your app in order to build a bundle you can serve up to the browser in a single script tag. |
Statistics | |
GitHub Stars 12.9K | GitHub Stars - |
GitHub Forks 1.8K | GitHub Forks - |
Stacks 1.5K | Stacks 2.2K |
Followers 647 | Followers 414 |
Votes 232 | Votes 261 |
Pros & Cons | |
Pros
| Pros
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What are some alternatives to Capistrano, Browserify?
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.
Ansible
Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.
Chef
Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.
Terraform
With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.
RequireJS
RequireJS loads plain JavaScript files as well as more defined modules. It is optimized for in-browser use, including in a Web Worker, but it can be used in other JavaScript environments, like Rhino and Node. It implements the Asynchronous Module API. Using a modular script loader like RequireJS will improve the speed and quality of your code.
Puppet Labs
Puppet is an automated administrative engine for your Linux, Unix, and Windows systems and performs administrative tasks (such as adding users, installing packages, and updating server configurations) based on a centralized specification.
Salt
Salt is a new approach to infrastructure management. Easy enough to get running in minutes, scalable enough to manage tens of thousands of servers, and fast enough to communicate with them in seconds. Salt delivers a dynamic communication bus for infrastructures that can be used for orchestration, remote execution, configuration management and much more.
Yarn
Yarn caches every package it downloads so it never needs to again. It also parallelizes operations to maximize resource utilization so install times are faster than ever.
Fabric
Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution.
AWS OpsWorks
Start from templates for common technologies like Ruby, Node.JS, PHP, and Java, or build your own using Chef recipes to install software packages and perform any task that you can script. AWS OpsWorks can scale your application using automatic load-based or time-based scaling and maintain the health of your application by detecting failed instances and replacing them. You have full control of deployments and automation of each component
