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  5. Amazon CodeGuru vs SwiftLint

Amazon CodeGuru vs SwiftLint

OverviewComparisonAlternatives

Overview

SwiftLint
SwiftLint
Stacks156
Followers105
Votes0
GitHub Stars19.3K
Forks2.3K
Amazon CodeGuru
Amazon CodeGuru
Stacks68
Followers151
Votes24

Amazon CodeGuru vs SwiftLint: What are the differences?

Introduction:
Amazon CodeGuru and SwiftLint are tools used for code analysis and optimization in software development. Despite having similar purposes, they have key differences that set them apart.

  1. Technology Stack: Amazon CodeGuru is a machine learning-based service that provides intelligent recommendations for improving code quality and performance, while SwiftLint is a static code analysis tool specifically designed for Swift language projects.
  2. Supported Languages: Amazon CodeGuru supports Java and Python languages, while SwiftLint is exclusive to projects written in Swift. This limitation in language support distinguishes the two tools based on their usage scenarios.
  3. Integration: Amazon CodeGuru seamlessly integrates with popular development tools like AWS CodeBuild and AWS CodePipeline, enabling automated code reviews in the CI/CD pipeline. In contrast, SwiftLint integrates with Xcode and various IDEs commonly used in Swift development.
  4. Advanced Techniques: Amazon CodeGuru utilizes machine learning algorithms to provide intelligent code review suggestions and real-time feedback, whereas SwiftLint focuses primarily on enforcing coding style and convention rules defined by the Swift community.
  5. Cost: Amazon CodeGuru is a paid service with pricing based on the number of lines of code analyzed, while SwiftLint is an open-source tool that can be freely utilized by Swift developers without any additional cost.
  6. Customization: Amazon CodeGuru allows developers to customize rules and adjust the severity of recommendations based on their specific requirements, whereas SwiftLint comes with a predefined set of rules that can be extended but not fully customized.

In Summary, Amazon CodeGuru and SwiftLint differ in terms of technology stack, supported languages, integration capabilities, advanced techniques, cost, and customization options.

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Detailed Comparison

SwiftLint
SwiftLint
Amazon CodeGuru
Amazon CodeGuru

It is a tool to enforce Swift style and conventions, loosely based on GitHub's Swift Style Guide.It hooks into Clang and SourceKit to use the AST representation of your source files for more accurate results.

It is a machine learning service for automated code reviews and application performance recommendations. It helps you find the most expensive lines of code that hurt application performance and keep you up all night troubleshooting, then gives you specific recommendations to fix or improve your code.

automatically correct certain violations; supports nesting configuration files
Automate code reviews; Fast and reliable code issue detection; Trained on decades of knowledge and experience; Understand the runtime behavior of applications; Intelligent recommendations; Always-on profiling of applications in production
Statistics
GitHub Stars
19.3K
GitHub Stars
-
GitHub Forks
2.3K
GitHub Forks
-
Stacks
156
Stacks
68
Followers
105
Followers
151
Votes
0
Votes
24
Pros & Cons
No community feedback yet
Pros
  • 24
    What programming languages are supported?
Cons
  • 1
    Works only on Java code
Integrations
Xcode
Xcode
Jenkins
Jenkins
macOS
macOS
GitHub
GitHub
Amazon EC2
Amazon EC2
Java
Java
Amazon EC2 Container Service
Amazon EC2 Container Service
AWS CodeCommit
AWS CodeCommit
Amazon EKS
Amazon EKS
AWS Fargate
AWS Fargate

What are some alternatives to SwiftLint, Amazon CodeGuru?

Code Climate

Code Climate

After each Git push, Code Climate analyzes your code for complexity, duplication, and common smells to determine changes in quality and surface technical debt hotspots.

Codacy

Codacy

Codacy automates code reviews and monitors code quality on every commit and pull request on more than 40 programming languages reporting back the impact of every commit or PR, issues concerning code style, best practices and security.

Phabricator

Phabricator

Phabricator is a collection of open source web applications that help software companies build better software.

PullReview

PullReview

PullReview helps Ruby and Rails developers to develop new features cleanly, on-time, and with confidence by automatically reviewing their code.

Gerrit Code Review

Gerrit Code Review

Gerrit is a self-hosted pre-commit code review tool. It serves as a Git hosting server with option to comment incoming changes. It is highly configurable and extensible with default guarding policies, webhooks, project access control and more.

SonarQube

SonarQube

SonarQube provides an overview of the overall health of your source code and even more importantly, it highlights issues found on new code. With a Quality Gate set on your project, you will simply fix the Leak and start mechanically improving.

RuboCop

RuboCop

RuboCop is a Ruby static code analyzer. Out of the box it will enforce many of the guidelines outlined in the community Ruby Style Guide.

CodeFactor.io

CodeFactor.io

CodeFactor.io automatically and continuously tracks code quality with every GitHub or BitBucket commit and pull request, helping software developers save time in code reviews and efficiently tackle technical debt.

ESLint

ESLint

A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease.

Reviewable

Reviewable

A code review tool for GitHub pull requests inspired by Google's internal tool. Powerful diffing and workflow features wrapped in a beautiful UI, with seamless GitHub integration. Free for public repos.

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