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  1. Stackups
  2. DevOps
  3. Code Review
  4. Code Review
  5. PHPStan vs StyleCI

PHPStan vs StyleCI

OverviewComparisonAlternatives

Overview

StyleCI
StyleCI
Stacks28
Followers37
Votes4
GitHub Stars0
Forks0
PHPStan
PHPStan
Stacks418
Followers99
Votes0
GitHub Stars13.7K
Forks933

PHPStan vs StyleCI: What are the differences?

Introduction: In the world of web development, tools like PHPStan and StyleCI play a crucial role in ensuring code quality and maintainability. Each has its unique features and functions that set them apart.

  1. PHPStan vs. StyleCI: Level of Analysis: PHPStan is primarily a static analysis tool that focuses on detecting errors and inconsistencies in PHP code at the early stages of development. On the other hand, StyleCI, as a code formatting tool, concentrates on enforcing coding standards and improving code style consistency.

  2. PHPStan vs. StyleCI: Error Detection vs. Coding Standards: While PHPStan is adept at identifying bugs, type mismatches, and other errors in the codebase, StyleCI excels in enforcing coding styles, formatting rules, and maintaining a consistent code structure throughout the project.

  3. PHPStan vs. StyleCI: Automation Process: PHPStan requires manual intervention to run the analysis and is more suitable for detecting errors during the development process. Conversely, StyleCI automates the process of analyzing and formatting code based on predefined rules and configurations, enhancing code readability and maintainability.

  4. PHPStan vs. StyleCI: Integration with Development Workflow: PHPStan integrates seamlessly with continuous integration workflows and is often employed during the build process to ensure code quality. In contrast, StyleCI integrates directly with version control systems like GitHub or Bitbucket, applying code formatting changes automatically to pull requests.

  5. PHPStan vs. StyleCI: Output and Visualization: PHPStan generates detailed reports and error messages highlighting issues within the code, enabling developers to pinpoint and rectify the problems efficiently. On the other hand, StyleCI provides visual feedback on code formatting changes, making it easier for developers to understand and implement the required adjustments.

  6. PHPStan vs. StyleCI: Community Support and Extensibility: PHPStan boasts a robust community of contributors and supports various PHP frameworks, making it adaptable to diverse development environments. Meanwhile, StyleCI offers a user-friendly interface and supports customization options to tailor coding standards based on project requirements, catering to a wide range of development teams.

In Summary, PHPStan and StyleCI differ in their core functionalities, with PHPStan focusing on error detection and static analysis, while StyleCI prioritizes code formatting and style enforcement to maintain code consistency and readability in a project.

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Detailed Comparison

StyleCI
StyleCI
PHPStan
PHPStan

StyleCI automatically analyses all of your pull requests and will display a build status within GitHub before you merge.

It focuses on finding errors in your code without actually running it. It catches whole classes of bugs even before you write tests for the code. It moves PHP closer to compiled languages in the sense that the correctness of each line of the code can be checked before you run the actual line.

Fix PSR-1, PSR-2, PSR-5, Symfony and more.;We watch all of your pull requests and automatically analyse them.;Open Source
Static Analysis Tool ;Focuses on finding errors in your code without actually running it;Extensible;
Statistics
GitHub Stars
0
GitHub Stars
13.7K
GitHub Forks
0
GitHub Forks
933
Stacks
28
Stacks
418
Followers
37
Followers
99
Votes
4
Votes
0
Pros & Cons
Pros
  • 4
    Keeps code style consistent adheres to strict standard
No community feedback yet
Integrations
GitHub
GitHub
Drupal
Drupal
WordPress
WordPress
Laravel
Laravel
PHP
PHP
Symfony
Symfony
Yii
Yii
Nette Framework
Nette Framework
Typo3
Typo3
Zend Framework
Zend Framework
Doctrine 2
Doctrine 2

What are some alternatives to StyleCI, PHPStan?

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.

Amazon CodeGuru

Amazon CodeGuru

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.

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