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

Infer vs ktfmt

OverviewComparisonAlternatives

Overview

Infer
Infer
Stacks18
Followers69
Votes0
GitHub Stars15.4K
Forks2.1K
ktfmt
ktfmt
Stacks0
Followers3
Votes0

Infer vs ktfmt: What are the differences?

What is Infer? A tool to detect bugs in Android and iOS apps before they ship, by Facebook. 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.

What is ktfmt? A program that pretty-prints (formats) Kotlin code, based on google-java-format (by Facebook). It is a program that reformats Kotlin source code to comply with the common community standard for Kotlin code conventions.

Infer and ktfmt can be categorized as "Code Review" tools.

Infer and ktfmt are both open source tools. It seems that Infer with 10.5K GitHub stars and 1.43K forks on GitHub has more adoption than ktfmt with 29 GitHub stars and 1 GitHub forks.

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Detailed Comparison

Infer
Infer
ktfmt
ktfmt

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 program that reformats Kotlin source code to comply with the common community standard for Kotlin code conventions.

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.
Uses google-java-format's underlying engine; Uses a 2-space indent
Statistics
GitHub Stars
15.4K
GitHub Stars
-
GitHub Forks
2.1K
GitHub Forks
-
Stacks
18
Stacks
0
Followers
69
Followers
3
Votes
0
Votes
0
Integrations
Cocoa Touch (iOS)
Cocoa Touch (iOS)
Android SDK
Android SDK
Java
Java
Objective-C
Objective-C
Kotlin
Kotlin

What are some alternatives to Infer, ktfmt?

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.

Amazon CodeGuru

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.

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