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  1. Stackups
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  4. Code Review
  5. Amazon CodeGuru vs Pylint

Amazon CodeGuru vs Pylint

OverviewComparisonAlternatives

Overview

Pylint
Pylint
Stacks873
Followers97
Votes17
Amazon CodeGuru
Amazon CodeGuru
Stacks68
Followers151
Votes24

Amazon CodeGuru vs Pylint: What are the differences?

  1. Performance Improvement Recommendations: Amazon CodeGuru not only identifies code issues but also provides recommendations to improve the performance of the application. It offers intelligent insights into potential optimizations, helping developers enhance their code efficiently.
  2. Machine Learning-Powered Analysis: Amazon CodeGuru utilizes machine learning algorithms to analyze code and provide accurate recommendations for improvements. This advanced technology allows for more precise detection of issues and performance bottlenecks.
  3. Deep Integration with AWS Services: Amazon CodeGuru seamlessly integrates with various AWS services like AWS CodeCommit and AWS CodeBuild, making it easier for developers to incorporate code analysis into their existing workflows.
  4. Continuous Feedback Loop: Amazon CodeGuru offers continuous feedback on code quality and performance, enabling developers to iterate quickly and enhance their codebase over time. This iterative process contributes to the overall improvement of the application.
  5. Language Support: Pylint provides support for Python code analysis, while Amazon CodeGuru supports Java applications, making them suitable for different programming languages. This distinction allows developers to choose a tool that aligns with their specific project requirements.
  6. Scalability and Cost: Amazon CodeGuru is a part of AWS, offering scalability and cost-effectiveness in terms of code analysis for large-scale applications. In contrast, Pylint is open-source and may require additional configurations for analyzing codebases with extensive components.

In Summary, Amazon CodeGuru and Pylint offer unique features such as performance improvement recommendations, machine learning-powered analysis, deep integration with AWS services, a continuous feedback loop, language support, scalability, and cost benefits respectively.

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Detailed Comparison

Pylint
Pylint
Amazon CodeGuru
Amazon CodeGuru

It is a Python static code analysis tool which looks for programming errors, helps enforcing a coding standard, sniffs for code smells and offers simple refactoring suggestions.

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.

Syntax Check;Style Check;Warnings
Automate code reviews; Fast and reliable code issue detection; Trained on decades of knowledge and experience; Understand the runtime behavior of applications; Intelligent recommendations; Always-on profiling of applications in production
Statistics
Stacks
873
Stacks
68
Followers
97
Followers
151
Votes
17
Votes
24
Pros & Cons
Pros
  • 3
    Command Line
  • 2
    Code score & directions
  • 2
    Pre-commit checks
  • 2
    Spell Check strings & comments
  • 2
    Standards
Pros
  • 24
    What programming languages are supported?
Cons
  • 1
    Works only on Java code
Integrations
FreeBSD
FreeBSD
Debian
Debian
Vim
Vim
Windows
Windows
Mac OS X
Mac OS X
TextMate
TextMate
Visual Studio
Visual Studio
Komodo IDE
Komodo IDE
Eclipse
Eclipse
Visual Studio Code
Visual Studio Code
GitHub
GitHub
Amazon EC2
Amazon EC2
Java
Java
Amazon EC2 Container Service
Amazon EC2 Container Service
AWS CodeCommit
AWS CodeCommit
Amazon EKS
Amazon EKS
AWS Fargate
AWS Fargate

What are some alternatives to Pylint, Amazon CodeGuru?

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.

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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