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  1. Stackups
  2. DevOps
  3. Code Review
  4. Code Review
  5. DeepScan vs SonarQube

DeepScan vs SonarQube

OverviewComparisonAlternatives

Overview

SonarQube
SonarQube
Stacks1.9K
Followers2.0K
Votes53
GitHub Stars10.0K
Forks2.1K
DeepScan
DeepScan
Stacks11
Followers42
Votes1

DeepScan vs SonarQube: What are the differences?

Introduction

DeepScan and SonarQube are both static code analysis tools that help developers identify and fix potential issues in their code. However, there are some key differences between the two.

  1. Scalability and Language Support: DeepScan specializes in JavaScript code analysis and provides in-depth detection for various JavaScript-specific issues. On the other hand, SonarQube offers support for a wide range of programming languages including JavaScript, Java, C#, Python, and more. It provides a more scalable solution for code analysis in projects involving multiple programming languages.

  2. Real-time Feedback: DeepScan offers real-time feedback during the development process, helping developers catch and fix issues as they write code. It offers an IDE plugin that highlights issues and provides relevant suggestions instantly. SonarQube, on the other hand, performs code analysis as a separate step, typically during the build process or in a CI/CD pipeline. It provides detailed reports and insights based on the code analysis results.

  3. Rule Customization and Configurability: DeepScan provides rule configurations that can be adjusted based on the specific requirements of the project. This allows developers to fine-tune the analysis rules to match their coding standards and preferences. SonarQube also offers rule customization options and allows developers to define their own rules. It provides a rich set of default rules and supports additional rules through plugins.

  4. Integration and Ecosystem: SonarQube is a mature and widely used static code analysis tool with a large ecosystem and community support. It integrates well with various development environments, build tools, and CI/CD pipelines. DeepScan, on the other hand, is relatively newer and focused specifically on JavaScript code analysis. While it provides integration options, it may have a more limited ecosystem compared to SonarQube.

  5. Pricing and Licensing: DeepScan offers tiered pricing plans based on the number of repositories and users, with a free plan available for individual developers. SonarQube provides a Community Edition that is free and open source, suitable for small teams or personal use. It also offers commercial editions with additional features and support that are priced based on the number of lines of code.

  6. Depth of Analysis: DeepScan offers a more in-depth analysis of JavaScript code, detecting complex issues such as memory leaks, race conditions, and potential security vulnerabilities. It leverages advanced static analysis techniques to provide deep insights into the code. SonarQube also performs static code analysis, but its focus is more on identifying common coding bugs, code smells, and maintainability issues.

In summary, DeepScan specializes in JavaScript code analysis with in-depth detection, real-time feedback, and customizable rules. It has a growing ecosystem and offers tiered pricing plans. SonarQube, on the other hand, supports multiple programming languages, provides detailed reports, and has a mature ecosystem and community support with a free Community Edition available.

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Detailed Comparison

SonarQube
SonarQube
DeepScan
DeepScan

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.

A static code analyzer for JavaScript, TypeScript and React. Targets runtime errors and quality issues rather than coding conventions. Available for free for open source projects on GitHub.

Multi-language;Detect tricky issues;Security analysis;Enhance your workflow
JavaScript Code Inspection: Designed to find runtime errors and quality issues rather than coding conventions via precise data-flow analysis.;Support for Cutting Edge Technology: ES6, ES7 and ECMAScript Next features, React, Flow, and TypeScript.;GitHub Integration: Analyze your code in GitHub repository with automatic synchronization and code review for pull request.;Effective Rule Sets: Help developers to find common pitfalls and best practices. Fine-grained impact depending on the surrounding context.;Issue Trends: You can track project's code quality over time.;Editor Plugins: You can see bugs and quality issues on the fly in your Visual Studio Code and Atom.
Statistics
GitHub Stars
10.0K
GitHub Stars
-
GitHub Forks
2.1K
GitHub Forks
-
Stacks
1.9K
Stacks
11
Followers
2.0K
Followers
42
Votes
53
Votes
1
Pros & Cons
Pros
  • 26
    Tracks code complexity and smell trends
  • 16
    IDE Integration
  • 9
    Complete code Review
  • 2
    Difficult to deploy
Cons
  • 7
    Paid support is poor, techs arrogant and unhelpful
  • 7
    Sales process is long and unfriendly
  • 1
    Does not integrate with Snyk
Pros
  • 1
    Specialized at React and Vue.js
Integrations
Gradle
Gradle
Apache Maven
Apache Maven
Jenkins
Jenkins
TeamCity
TeamCity
Appveyor
Appveyor
Travis CI
Travis CI
Apache Ant
Apache Ant
Bamboo
Bamboo
No integrations available

What are some alternatives to SonarQube, DeepScan?

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.

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.

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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