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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Server Configuration And Automation
  5. Fabric vs fastlane

Fabric vs fastlane

OverviewComparisonAlternatives

Overview

Fabric
Fabric
Stacks494
Followers307
Votes75
GitHub Stars15.3K
Forks2.0K
fastlane
fastlane
Stacks716
Followers437
Votes74
GitHub Stars40.6K
Forks6.0K

Fabric vs fastlane: What are the differences?

Developers describe Fabric as "Simple, Pythonic remote execution and deployment". 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.. On the other hand, fastlane is detailed as "Connect all iOS deployment tools into one streamlined workflow". fastlane lets you define and run your deployment pipelines for different environments. It helps you unify your app’s release process and automate the whole process. fastlane connects all fastlane tools and third party tools, like CocoaPods.

Fabric belongs to "Server Configuration and Automation" category of the tech stack, while fastlane can be primarily classified under "Mobile Continuous Integration".

"Python" is the top reason why over 19 developers like Fabric, while over 17 developers mention "Easy to use" as the leading cause for choosing fastlane.

Fabric and fastlane are both open source tools. fastlane with 25.7K GitHub stars and 3.93K forks on GitHub appears to be more popular than Fabric with 11.4K GitHub stars and 1.72K GitHub forks.

According to the StackShare community, Fabric has a broader approval, being mentioned in 147 company stacks & 38 developers stacks; compared to fastlane, which is listed in 91 company stacks and 22 developer stacks.

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Detailed Comparison

Fabric
Fabric
fastlane
fastlane

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.

fastlane lets you define and run your deployment pipelines for different environments. It helps you unify your app’s release process and automate the whole process. fastlane connects all fastlane tools and third party tools, like CocoaPods.

Lets you execute arbitrary Python functions via the command line;Library of subroutines (built on top of a lower-level library) to make executing shell commands over SSH easy and Pythonic
Connect all build tools together;Define multiple lanes for different needs;Jenkins Integration;Extend by adding your own build steps;Deploy from any computer;Release new app updates with the push of a button
Statistics
GitHub Stars
15.3K
GitHub Stars
40.6K
GitHub Forks
2.0K
GitHub Forks
6.0K
Stacks
494
Stacks
716
Followers
307
Followers
437
Votes
75
Votes
74
Pros & Cons
Pros
  • 23
    Python
  • 21
    Simple
  • 5
    Low learning curve, from bash script to Python power
  • 5
    Installation feedback for Twitter App Cards
  • 3
    Easy on maintainance
Pros
  • 20
    Easy to use
  • 13
    Itunes connect deployment
  • 13
    Open Source
  • 11
    Incredible flexability
  • 9
    Third party integrations
Integrations
No integrations available
Testmunk
Testmunk
GitHub
GitHub
Bitbucket
Bitbucket
TestFlight
TestFlight
HockeyApp
HockeyApp
HipChat
HipChat
Crashlytics
Crashlytics
Travis CI
Travis CI
Jenkins
Jenkins
Slack
Slack

What are some alternatives to Fabric, fastlane?

Ansible

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

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

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.

Capistrano

Capistrano

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.

Puppet Labs

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

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.

Bitrise

Bitrise

It is a Continous Integration and Delivery (CI/CD) Platform as a Service (PaaS) with a main focus on mobile app development (iOS, Android). You can automate the testing and deployment of your apps with just a few clicks. When you trigger a build a Virtual Machine is assigned to host your build and your defined Workflow (series of Steps scripts) will be executed, step by step.

AWS OpsWorks

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

Buddybuild

Buddybuild

Buddybuild ties together continuous integration, continuous delivery and an iterative feedback solution into a single, seamless platform.

Greenhouse

Greenhouse

Greenhouse automatically builds your project for every commit you make and runs all your unit or UI tests on the emulator/simulator or on real hardware. Automatic build distribution is also supported so that your team and clients are always up to date with the latest state of your apps.

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