DeepSource Analyzer vs SwiftLint

Overview

SwiftLint

Stacks156

Followers105

Votes0

GitHub Stars19.3K

Forks2.3K

DeepSource

Stacks16

Followers49

Votes8

DeepSource Analyzer vs SwiftLint: What are the differences?

Integration: DeepSource Analyzer is a comprehensive automated code review tool that integrates seamlessly with various common CI/CD platforms such as GitHub Actions, GitLab CI, and Bitbucket Pipelines, while SwiftLint is specifically designed for Swift projects and requires self-hosting on a CI/CD pipeline.
Supported Languages: DeepSource Analyzer supports a wide range of programming languages including Python, JavaScript, Go, Ruby, and more, making it versatile for multi-language codebases, whereas SwiftLint is exclusively tailored for Swift codebases, offering specialized linting rules and suggestions specific to Swift programming language.
Code Analysis Depth: DeepSource Analyzer goes beyond superficial style checks and offers advanced code analysis capabilities such as detecting security vulnerabilities, performance bottlenecks, and style issues, providing a more comprehensive and holistic code review experience compared to SwiftLint's focus mainly on style and convention adherence.
Customizable Rules: DeepSource Analyzer allows users to configure and customize the rules and severity levels based on their project requirements, providing flexibility in defining what issues to prioritize and how strict the linting checks should be, whereas SwiftLint comes with predetermined linting rules that are more rigid and less adaptable to individual project needs.
Automation Capabilities: DeepSource Analyzer can automatically fix certain issues in the codebase through automated code corrections or suggestions, reducing manual intervention and improving overall code quality, whereas SwiftLint primarily identifies issues without providing automated solutions, requiring developers to manually address the flagged problems.
Monitoring and Reporting: DeepSource Analyzer offers detailed reports, insights, and trend analysis over time to track the code quality improvements and identify recurring issues, facilitating better decision-making and continuous improvement efforts, whereas SwiftLint provides basic reports on linting violations without extensive historical data or trend analysis capabilities.

In Summary, DeepSource Analyzer and SwiftLint differ in integration options, supported languages, code analysis depth, rule customization, automation capabilities, and monitoring/reporting features.

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Manual

Detailed Comparison

SwiftLint	DeepSource
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.	DeepSource helps developers ship clean and secure code with powerful static analysis, OWASP Top 10 reporting, and Autofix. Trusted by thousands of startups, enterprises, and Fortune 500 companies.
automatically correct certain violations; supports nesting configuration files	Simple configuration; Continuous analysis; Fewer false-positives; Integration with existing tools; Know each issue in detail; Broad-spectrum of issue coverage.
Statistics
GitHub Stars 19.3K	GitHub Stars -
GitHub Forks 2.3K	GitHub Forks -
Stacks 156	Stacks 16
Followers 105	Followers 49
Votes 0	Votes 8
Pros & Cons
No community feedback yet	Pros 3 Free for open source 3 Easy setup and analysis 2 Autofixes for many lints for free Cons 1 Test coverage % differs from actual
Integrations
Xcode Jenkins macOS	Ruby Java C# Terraform Docker Scala GitHub JavaScript GitLab Bitbucket

What are some alternatives to SwiftLint, DeepSource?

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

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 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 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 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 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

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

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.

Related Comparisons

DeepSource Analyzer vs SwiftLint: What are the differences?

Integration: DeepSource Analyzer is a comprehensive automated code review tool that integrates seamlessly with various common CI/CD platforms such as GitHub Actions, GitLab CI, and Bitbucket Pipelines, while SwiftLint is specifically designed for Swift projects and requires self-hosting on a CI/CD pipeline.
Supported Languages: DeepSource Analyzer supports a wide range of programming languages including Python, JavaScript, Go, Ruby, and more, making it versatile for multi-language codebases, whereas SwiftLint is exclusively tailored for Swift codebases, offering specialized linting rules and suggestions specific to Swift programming language.
Code Analysis Depth: DeepSource Analyzer goes beyond superficial style checks and offers advanced code analysis capabilities such as detecting security vulnerabilities, performance bottlenecks, and style issues, providing a more comprehensive and holistic code review experience compared to SwiftLint's focus mainly on style and convention adherence.
Customizable Rules: DeepSource Analyzer allows users to configure and customize the rules and severity levels based on their project requirements, providing flexibility in defining what issues to prioritize and how strict the linting checks should be, whereas SwiftLint comes with predetermined linting rules that are more rigid and less adaptable to individual project needs.
Automation Capabilities: DeepSource Analyzer can automatically fix certain issues in the codebase through automated code corrections or suggestions, reducing manual intervention and improving overall code quality, whereas SwiftLint primarily identifies issues without providing automated solutions, requiring developers to manually address the flagged problems.
Monitoring and Reporting: DeepSource Analyzer offers detailed reports, insights, and trend analysis over time to track the code quality improvements and identify recurring issues, facilitating better decision-making and continuous improvement efforts, whereas SwiftLint provides basic reports on linting violations without extensive historical data or trend analysis capabilities.

In Summary, DeepSource Analyzer and SwiftLint differ in integration options, supported languages, code analysis depth, rule customization, automation capabilities, and monitoring/reporting features.

DeepSource Analyzer vs SwiftLint

Overview