ESLint vs XRebel

Overview

ESLint

Stacks30.5K

Followers14.0K

Votes28

GitHub Stars26.6K

Forks4.8K

XRebel

Stacks2

Followers5

Votes0

XRebel vs ESLint: What are the differences?

What is XRebel? Java code analysis tool. It does things traditional profiling tools can’t. It allows developers to trace the impact of their code from beginning to end -- even in distributed applications. This, combined with real-time Java performance metrics, makes it a must-have tool for any Java developer. With this tool, developers can create better-performing applications that lead to better end user experience.

What is ESLint? The fully pluggable JavaScript code quality tool. A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease.

XRebel and ESLint are primarily classified as "Java" and "Code Review" tools respectively.

ESLint is an open source tool with 17.1K GitHub stars and 3.03K GitHub forks. Here's a link to ESLint's open source repository on GitHub.

Detailed Comparison

ESLint	XRebel
A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease.	It does things traditional profiling tools can’t. It allows developers to trace the impact of their code from beginning to end -- even in distributed applications. This, combined with real-time Java performance metrics, makes it a must-have tool for any Java developer. With this tool, developers can create better-performing applications that lead to better end user experience.
Statistics
GitHub Stars 26.6K	GitHub Stars -
GitHub Forks 4.8K	GitHub Forks -
Stacks 30.5K	Stacks 2
Followers 14.0K	Followers 5
Votes 28	Votes 0
Pros & Cons
Pros 8 Consistent javascript - opinions don't matter anymore 6 Free 6 IDE Integration 4 Customizable 2 Focuses code review on quality not style	No community feedback yet
Integrations
JavaScript	No integrations available

What are some alternatives to ESLint, XRebel?

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.

Quarkus

It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.

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.

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.