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  1. Stackups
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  5. Amazon CodeGuru vs PVS-Studio

Amazon CodeGuru vs PVS-Studio

OverviewComparisonAlternatives

Overview

PVS-Studio
PVS-Studio
Stacks8
Followers12
Votes0
Amazon CodeGuru
Amazon CodeGuru
Stacks68
Followers151
Votes24

Amazon CodeGuru vs PVS-Studio: What are the differences?

Introduction

In this comparison between Amazon CodeGuru and PVS-Studio, we will highlight the key differences to assist in selecting the right tool for code analysis.

  1. Supported Languages: Amazon CodeGuru primarily supports Java for its code analysis, while PVS-Studio covers a wider range of languages including C, C++, C#, and Java. The language support can significantly impact the choice of tool based on the programming languages used in a project.

  2. Integration: Amazon CodeGuru is directly integrated into AWS Developer tools, providing seamless integration into the development pipeline for continuous code analysis. On the other hand, PVS-Studio can be integrated with various IDEs and CI/CD systems, offering flexibility in integration options based on the existing development environment.

  3. Focus of Analysis: Amazon CodeGuru focuses on providing recommendations for improving code quality and performance based on machine learning algorithms. In contrast, PVS-Studio primarily focuses on detecting potential bugs and security vulnerabilities in the code through static code analysis. The different focus areas can influence the choice of tool based on the specific needs of the project.

  4. Pricing Model: Amazon CodeGuru follows a pay-as-you-go pricing model based on the lines of code analyzed, which can be cost-effective for smaller projects. PVS-Studio, on the other hand, offers fixed pricing based on license options, making it suitable for larger projects with extensive codebases.

  5. Deployment Options: Amazon CodeGuru is a cloud-based service provided by AWS, requiring data to be uploaded to the cloud for analysis. In comparison, PVS-Studio provides both cloud-based and on-premises deployment options, allowing users to choose the deployment method that aligns with their security and privacy requirements.

  6. User Interface and Reports: Amazon CodeGuru offers a user-friendly interface with detailed reports and recommendations integrated into the AWS Management Console. PVS-Studio provides comprehensive reports with detailed explanations of detected issues, aiding developers in understanding and fixing the identified problems effectively.

In Summary, key differences between Amazon CodeGuru and PVS-Studio include supported languages, integration options, focus of analysis, pricing models, deployment options, and user interface features.

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Detailed Comparison

PVS-Studio
PVS-Studio
Amazon CodeGuru
Amazon CodeGuru

It is a tool used to detect bugs in the source code of programs written in C, C++, C# and Java. It performs static code analysis and generates a report that helps a programmer find and fix bugs.

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.

Simple and seamless integration with Visual Studio 2010-2019; Automatic analysis of individual files after their recompilation; Automatic check for updates (inside IDEs and when running overnight builds); A large number of options for integration into projects that are developed under Linux and macOS; Statistics on analyzer warnings can be viewed in Excel - provides a way to track the speed of error correction, amount of bugs found for a certain period of time and so on; Relative paths in report files to view them on different machines
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
8
Stacks
68
Followers
12
Followers
151
Votes
0
Votes
24
Pros & Cons
No community feedback yet
Pros
  • 24
    What programming languages are supported?
Cons
  • 1
    Works only on Java code
Integrations
Windows
Windows
C#
C#
Linux
Linux
Java
Java
Visual Studio
Visual Studio
C++
C++
macOS
macOS
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 PVS-Studio, 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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