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  1. Stackups
  2. DevOps
  3. Code Review
  4. Code Review
  5. Credo vs FindBugs

Credo vs FindBugs

OverviewComparisonAlternatives

Overview

FindBugs
FindBugs
Stacks625
Followers100
Votes0
Credo
Credo
Stacks28
Followers12
Votes0
GitHub Stars5.1K
Forks434

Credo vs FindBugs: What are the differences?

What is Credo? A static code analysis tool for the Elixir language. credo can show you refactoring opportunities in your code, complex and duplicated code fragments, warn you about common mistakes, show inconsistencies in your naming scheme and - if needed - help you enforce a desired coding style.

What is FindBugs? An open-source static code analyser. It detects possible bugs in Java programs. Potential errors are classified in four ranks: scariest, scary, troubling and of concern. This is a hint to the developer about their possible impact or severity.

Credo and FindBugs belong to "Code Review" category of the tech stack.

Credo is an open source tool with 3K GitHub stars and 217 GitHub forks. Here's a link to Credo's open source repository on GitHub.

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CLI (Node.js)
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Detailed Comparison

FindBugs
FindBugs
Credo
Credo

It detects possible bugs in Java programs. Potential errors are classified in four ranks: scariest, scary, troubling and of concern. This is a hint to the developer about their possible impact or severity.

credo can show you refactoring opportunities in your code, complex and duplicated code fragments, warn you about common mistakes, show inconsistencies in your naming scheme and - if needed - help you enforce a desired coding style.

static analysis of the Java bytecode; early feedback about potential errors in the code
-
Statistics
GitHub Stars
-
GitHub Stars
5.1K
GitHub Forks
-
GitHub Forks
434
Stacks
625
Stacks
28
Followers
100
Followers
12
Votes
0
Votes
0
Integrations
Jenkins
Jenkins
Java
Java
NetBeans IDE
NetBeans IDE
IntelliJ IDEA
IntelliJ IDEA
Eclipse
Eclipse
Golang
Golang

What are some alternatives to FindBugs, Credo?

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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