
SonarQube
CodeClimate
CodeFactor.io
Snyk
ESLint
Coveralls
SensioLabs Insight
Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.

Good First Issue
My Good First Issue
Find beginner-friendly issues, get reviewed by real maintainers, and turn public open source shipping into portfolio evidence AI can't fake.

Which is more popular?
Based on our record, Codacy should be more popular than GoodFirstIssue.org. It has been mentioned 4 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | codacy.com | goodfirstissue.org |
| Pricing | ||
| Platforms | — | |
| Company | Startup from Portugal · 1 - 9 employees · 2012 | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


Codacy automates code reviews and monitors code quality on every commit and pull request reporting back the impact of every commit or pull request, issues concerning code style, best practices, security, and many others. It monitors changes in code coverage, code duplication and code complexity....
Good First Issue helps new developers find beginner-friendly open source work they can actually ship. Learning to code has never been more accessible, but proving real ability is becoming harder. AI can generate small apps, polished summaries, and convincing portfolio writeups in seconds. That is...
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
Using Codacy for automated code reviews
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Codacy and GoodFirstIssue.org.
GoodFirstIssue.org's answer:
Good First Issue Org is built primarily with TypeScript, Next.js App Router, React, and pnpm. It uses Drizzle ORM with MySQL for persistence, Clerk for authentication and GitHub-connected workflows, Octokit and GitHub APIs for repository and issue data, and Vercel for hosting and scheduled production workflows.
GoodFirstIssue.org's answer:
Good First Issue Org focuses on the step after learning: helping new developers find real open source work they can actually ship. It indexes public GitHub repositories and issues, then turns beginner-friendly labels and repository metadata into a practical discovery experience. Instead of asking users to browse GitHub blindly, it surfaces issues with signals such as approachable labels, recent activity, clear scope, repository context, and maintainer-review potential.
The product is also built around a clear thesis: in an AI-assisted world, public, reviewable contributions are stronger proof than private demos or generated portfolio projects. Every issue, pull request, review comment, and merged change can become durable evidence of judgment, follow-through, and collaboration.
GoodFirstIssue.org's answer:
A person should choose Good First Issue Org when they want a focused path from open source discovery to a shipped contribution, not just a generic repository search. The product helps users browse indexed beginner-friendly issues, filter by repository, owner, language, state, label, and sort order, and evaluate issue detail pages with repository context, labels, related pull requests, and contributor guidance.
Good First Issue Org is especially useful for people who want portfolio evidence that can be inspected publicly. It helps users choose work that is small enough to start, concrete enough to finish, and connected to the real maintainers and projects where the work happens.
GoodFirstIssue.org's answer:
The primary audience is new and early-career developers who want to build credibility through real open source contribution. This includes students, self-taught developers, bootcamp graduates, career switchers, and developers who are trying to move beyond tutorials, generated demos, and private portfolio projects.
A secondary audience is open source maintainers who want suitable beginner-friendly issues to reach better-prepared contributors. Good First Issue Org helps maintainers make public repositories and approachable work easier to discover when issues have clear labels, context, setup guidance, and review signals.
Share your experience with using Codacy and GoodFirstIssue.org. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Each of these tools offers unique advantages that make them compelling alternatives to SonarQube, depending on organizational goals, budgets, and technology stacks. Codeant.ai and Codacy provide user-friendly...
Codacy is a popular code analysis and quality tool that helps you deliver better software. It continuously reviews your code and monitors its quality from the beginning.
Secondly, while SonarQube offers security analysis, Codacy provides a more holistic approach to security, including features like supply chain security and secret detection out of the box. Added to this are Codacy’s...
We have no reviews of GoodFirstIssue.org yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


I'm trying to use Codacy to review my code. One of the issues is regarding the use of the "setcookie" function. Source: almost 5 years ago
Does anyone have an example on how to get this conversion done on github actions where I can convert the *.coverage file into a *.xml file for uploading to codacy.com. Source: over 5 years ago
Online analysisFinally, if you want a simple way to analyze your code without having to manually configure everything locally, you can use an online code review service such as Codacy (shameless plug here). We already integrate some of... - Source: dev.to / over 5 years ago
Looked at my site's statistics, 2%. Not bad; this project is developed using Claude Code & Codex, but it incorporates my own understanding of the product and design. https://goodfirstissue.org/. - Source: Hacker News / 3 days ago
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Automated Code Review for GitHub & BitBucket
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Snyk helps you use open source and stay secure. Continuously find and fix vulnerabilities for npm, Maven, NuGet, RubyGems, PyPI and much more.
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