Overview

SonarQube

Stacks1.9K

Followers2.0K

Votes53

GitHub Stars10.0K

Forks2.1K

TSLint

Stacks3.4K

Followers234

Votes0

SonarQube vs TSLint: What are the differences?

Introduction

In the world of code analysis and quality assurance, tools like SonarQube and TSLint play a crucial role in helping developers write efficient and error-free code. While both tools focus on improving code quality, there are key differences between SonarQube and TSLint that are important to understand when deciding which tool to use for a specific project.

Scope and Language Support: A major difference between SonarQube and TSLint is the scope of issues they can detect and the programming languages they support. SonarQube is a more comprehensive tool that can analyze code for a wide range of issues such as code smells, bugs, vulnerabilities, and security hotspots across multiple programming languages including Java, C#, JavaScript, and more. On the other hand, TSLint is a specialized tool specifically designed for analyzing TypeScript code, focusing on enforcing coding standards and best practices for TypeScript projects.
Real-time Feedback: Another difference lies in the way SonarQube and TSLint provide feedback to developers. SonarQube integrates seamlessly into the development workflow, providing real-time feedback as developers write code in their IDEs. This allows developers to address issues immediately and maintain code quality throughout the development process. In contrast, TSLint typically runs as a separate static analysis tool that needs to be executed manually or as part of the build process, offering feedback at specific checkpoints rather than in real-time.
Community Support and Documentation: The level of community support and documentation available for SonarQube and TSLint also differs. SonarQube, being a widely-used and established tool, has a large community of users and extensive documentation available online, making it easier for developers to find solutions to common issues and learn how to effectively use the tool. TSLint, being a more specialized tool, may have a smaller community and fewer resources available, which could make it challenging for developers to troubleshoot problems or learn how to maximize its capabilities.

In Summary, understanding the key differences between SonarQube and TSLint in terms of their scope and language support, real-time feedback mechanisms, and community support can help developers make informed decisions about which tool suits their specific project requirements.

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Advice on SonarQube, TSLint

Budi

Programmer

Aug 19, 2020

Review

I think you scan skip MongoDB for now and focussing on creating web component with Reactjs or Vue, I would also recommend to use TypeScript for type hinting support.

For styling, learn CSS first then upgrade to SASS/SCSS or LESS (pick one as mostly same concept) to make CSS more maintainable.

Also to improve your skill on both sectors, install linters if available. For TypeScipt, there are TSLint and for styling, i think there are Stylint. Linter will help you adapt to make a clean code and understand how other peoples usually styled their code.

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Comments

Detailed Comparison

SonarQube	TSLint
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.	An extensible static analysis tool that checks TypeScript code for readability, maintainability, and functionality errors. It is widely supported across modern editors & build systems and can be customized with your own lint rules, configurations, and formatters.
Multi-language;Detect tricky issues;Security analysis;Enhance your workflow	Extensive set of core rules; Custom lint rules; Custom formatters (failure reporters); Configuration presets; Composition; Automatic fixing of formatting & style violations
Statistics
GitHub Stars 10.0K	GitHub Stars -
GitHub Forks 2.1K	GitHub Forks -
Stacks 1.9K	Stacks 3.4K
Followers 2.0K	Followers 234
Votes 53	Votes 0
Pros & Cons
Pros 26 Tracks code complexity and smell trends 16 IDE Integration 9 Complete code Review 2 Difficult to deploy Cons 7 Sales process is long and unfriendly 7 Paid support is poor, techs arrogant and unhelpful 1 Does not integrate with Snyk	No community feedback yet
Integrations
Gradle Apache Maven Jenkins TeamCity Appveyor Travis CI Apache Ant Bamboo	Vim Visual Studio Code TypeScript Atom WebStorm Emacs gulp Sublime Text Visual Studio Grunt

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