StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Server Configuration And Automation
  5. InSpec vs Serverspec

InSpec vs Serverspec

OverviewComparisonAlternatives

Overview

Serverspec
Serverspec
Stacks174
Followers28
Votes0
GitHub Stars2.5K
Forks368
InSpec
InSpec
Stacks336
Followers49
Votes0
GitHub Stars3.0K
Forks683

InSpec vs Serverspec: What are the differences?

Introduction

InSpec and Serverspec are tools used for testing and auditing infrastructure, ensuring that it meets the required specifications. While they serve a similar purpose, there are key differences between InSpec and Serverspec that set them apart from each other.

  1. Targeted Platform Support: InSpec is a cross-platform testing framework that can be used to write tests for a wide range of platforms including Linux, Windows, and cloud providers like AWS and Azure. This makes it more versatile and suitable for testing heterogeneous environments. On the other hand, Serverspec is more focused on Unix-like operating systems such as Linux and macOS, making it a better choice for environments that predominantly use these platforms.

  2. Programming Language: InSpec is written in the Ruby programming language and allows users to write tests using Ruby syntax. This can be advantageous for users who are already familiar with Ruby or prefer its expressive nature. In contrast, Serverspec uses a domain-specific language (DSL) based on Ruby, which may be more accessible for users without extensive Ruby knowledge.

  3. Compliance and Security Testing: InSpec has built-in capabilities for writing tests that assess compliance with security and regulatory standards such as CIS benchmarks and GDPR. It provides a wide range of pre-defined compliance profiles that can be easily customized and applied to assess the security posture of infrastructure. Serverspec, however, primarily focuses on general infrastructure testing and does not offer as extensive compliance capabilities out-of-the-box.

  4. Integration with Configuration Management Tools: InSpec integrates well with popular configuration management tools like Chef, allowing users to perform tests during the infrastructure provisioning and configuration management process. It can be seamlessly integrated into Chef recipes and playbooks to ensure the desired configuration state is achieved. On the other hand, while Serverspec can also be used alongside configuration management tools, its integration is not as tight as InSpec's, and it may require additional setup and configurations to achieve similar integration.

  5. Test Ecosystem and Community Support: InSpec benefits from being part of the wider Chef ecosystem, which includes a large user community and an extensive repository of community-contributed resources and recipes. This means that users can leverage the existing knowledge and resources available to solve common challenges and share best practices. Serverspec, while it has its own community, may have a smaller user base and a more limited set of resources available.

  6. Reporting and Workflow Integration: InSpec provides built-in reporting capabilities that generate human-readable reports in various formats, such as HTML and JSON. These reports can be easily integrated into existing workflows and tools. While Serverspec also supports reporting, InSpec's reporting capabilities are more extensive and customizable, providing richer insights into the test results.

In summary, the key differences between InSpec and Serverspec include their platform support, programming language, compliance and security testing capabilities, integration with configuration management tools, test ecosystem and community support, as well as reporting and workflow integration. Ultimately, the choice between the two depends on specific requirements, platform preferences, and the level of compliance and security testing needed.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Serverspec
Serverspec
InSpec
InSpec

With Serverspec, you can write RSpec tests for checking your servers are configured correctly. Serverspec tests your servers’ actual state by executing command locally, via SSH, via WinRM, via Docker API and so on.

It is an open-source testing framework for infrastructure with a human- and machine-readable language for specifying compliance, security and policy requirements.

Server Testing;Behaviour Driven Development
-
Statistics
GitHub Stars
2.5K
GitHub Stars
3.0K
GitHub Forks
368
GitHub Forks
683
Stacks
174
Stacks
336
Followers
28
Followers
49
Votes
0
Votes
0
Integrations
Ruby
Ruby
GitHub
GitHub
React Server
React Server
Linux
Linux
Docker
Docker
Windows
Windows

What are some alternatives to Serverspec, InSpec?

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.

Robot Framework

Robot Framework

It is a generic test automation framework for acceptance testing and acceptance test-driven development. It has easy-to-use tabular test data syntax and it utilizes the keyword-driven testing approach. Its testing capabilities can be extended by test libraries implemented either with Python or Java, and users can create new higher-level keywords from existing ones using the same syntax that is used for creating test cases.

Karate DSL

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

Fabric

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

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

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana