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  5. Amazon CodeGuru vs DeepSource Analyzer

Amazon CodeGuru vs DeepSource Analyzer

OverviewComparisonAlternatives

Overview

Amazon CodeGuru
Amazon CodeGuru
Stacks68
Followers151
Votes24
DeepSource
DeepSource
Stacks16
Followers49
Votes8

Amazon CodeGuru vs DeepSource Analyzer: What are the differences?

# Key Differences between Amazon CodeGuru and DeepSource Analyzer

Amazon CodeGuru and DeepSource Analyzer are two tools that assist developers in optimizing their code quality and performance. Here are the key differences between them:

1. **Language Support**: Amazon CodeGuru supports Java applications, while DeepSource Analyzer extends its language support to Python, Ruby, JavaScript, TypeScript, and Go among others.
   
2. **Focus Area**: Amazon CodeGuru primarily focuses on automated code reviews and identifying performance bottlenecks, whereas DeepSource Analyzer covers a broader range of issues including code quality, security vulnerabilities, and potential bugs.

3. **Integrations**: Amazon CodeGuru seamlessly integrates with AWS cloud services, providing deep insights and recommendations for code improvements within the AWS environment. DeepSource Analyzer offers integrations with various popular development tools and platforms such as GitHub, GitLab, and Bitbucket.

4. **AI-Powered Recommendations**: Amazon CodeGuru employs machine learning algorithms to provide intelligent recommendations and insights for optimizing code performance, while DeepSource Analyzer utilizes static code analysis techniques to identify issues in the codebase.

5. **Pricing Model**: Amazon CodeGuru follows a pay-as-you-go pricing model based on the lines of code analyzed, whereas DeepSource Analyzer offers a free tier for open-source projects and a subscription-based model for commercial use.

6. **Community Support**: DeepSource Analyzer has an active community and support system, encouraging collaboration and knowledge-sharing among developers, whereas Amazon CodeGuru relies primarily on AWS documentation and resources for support.

In Summary, the key differences between Amazon CodeGuru and DeepSource Analyzer lie in their language support, focus areas, integrations, AI-powered recommendations, pricing models, and community support.

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Detailed Comparison

Amazon CodeGuru
Amazon CodeGuru
DeepSource
DeepSource

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.

DeepSource helps developers ship clean and secure code with powerful static analysis, OWASP Top 10 reporting, and Autofix. Trusted by thousands of startups, enterprises, and Fortune 500 companies.

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
Simple configuration; Continuous analysis; Fewer false-positives; Integration with existing tools; Know each issue in detail; Broad-spectrum of issue coverage.
Statistics
Stacks
68
Stacks
16
Followers
151
Followers
49
Votes
24
Votes
8
Pros & Cons
Pros
  • 24
    What programming languages are supported?
Cons
  • 1
    Works only on Java code
Pros
  • 3
    Free for open source
  • 3
    Easy setup and analysis
  • 2
    Autofixes for many lints for free
Cons
  • 1
    Test coverage % differs from actual
Integrations
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
Ruby
Ruby
Java
Java
C#
C#
Terraform
Terraform
Docker
Docker
Scala
Scala
GitHub
GitHub
JavaScript
JavaScript
GitLab
GitLab
Bitbucket
Bitbucket

What are some alternatives to Amazon CodeGuru, DeepSource?

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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