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  1. Stackups
  2. DevOps
  3. Code Review
  4. Code Review
  5. Amazon CodeGuru vs Infer

Amazon CodeGuru vs Infer

OverviewComparisonAlternatives

Overview

Infer
Infer
Stacks18
Followers69
Votes0
GitHub Stars15.4K
Forks2.1K
Amazon CodeGuru
Amazon CodeGuru
Stacks68
Followers151
Votes24

Amazon CodeGuru vs Infer: What are the differences?

### Introduction
In this Markdown, we will outline the key differences between Amazon CodeGuru and Infer in the context of static code analysis tools.

1. **Integration with IDEs**: Amazon CodeGuru seamlessly integrates with popular IDEs like IntelliJ and Eclipse, offering real-time feedback to developers within their development environment. On the other hand, Infer lacks this level of integration with IDEs, requiring developers to run the tool separately.

2. **Language Support**: Amazon CodeGuru supports a wide range of programming languages, including Java and Python, making it versatile for various projects. In contrast, Infer primarily focuses on C, C++, and Objective-C, potentially limiting its applicability in certain development environments.

3. **Automation of Code Reviews**: Amazon CodeGuru automates code reviews using machine learning algorithms to detect potential issues and offer recommendations for improvement. Infer, while proficient in identifying bugs and potential errors, requires more manual intervention from developers to interpret the results.

4. **Scalability**: Amazon CodeGuru is designed to scale with large codebases, handling complex applications with thousands of lines of code efficiently. Infer, while effective for smaller projects, may struggle to cope with the demands of larger-scale software systems.

In Summary, Amazon CodeGuru excels in integration, language support, automation of code reviews, and scalability when compared to Infer, which falls short in these areas but has its strengths in specific programming languages and bug detection. 

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Detailed Comparison

Infer
Infer
Amazon CodeGuru
Amazon CodeGuru

Facebook Infer is a static analysis tool - if you give Infer some Objective-C, Java, or C code, it produces a list of potential bugs. Anyone can use Infer to intercept critical bugs before they have shipped to people's phones, and help prevent crashes or poor performance.

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.

Android and Java - Infer reports null pointer exceptions and resource leaks in Android and Java code.;iOS - In addition to this, it reports memory leak problems in iOS and C code.
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
GitHub Stars
15.4K
GitHub Stars
-
GitHub Forks
2.1K
GitHub Forks
-
Stacks
18
Stacks
68
Followers
69
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
Cocoa Touch (iOS)
Cocoa Touch (iOS)
Android SDK
Android SDK
Java
Java
Objective-C
Objective-C
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 Infer, 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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