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Codecov VS Dependabot

Compare Codecov VS Dependabot and see what are their differences

Codecov logo Codecov

Develop healthier code using Codecov's leading, dedicated code coverage solution. Try it free

Dependabot logo Dependabot

Automated dependency updates for your Ruby, Python, JavaScript, PHP, .NET, Go, Elixir, Rust, Java and Elm.
  • Codecov Landing page
    Landing page //
    2023-10-07
  • Dependabot Landing page
    Landing page //
    2023-09-28

Codecov videos

Bring Codecov data to your next code review Sourcegraph Codecov extension

More videos:

  • Review - Codecov and CircleCI Orbs: Making Code Coverage Easy
  • Review - C++ Weekly - Ep 90 - Using Codecov and Project Badges

Dependabot videos

No Dependabot videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Codecov and Dependabot)
Code Coverage
100 100%
0% 0
Security
0 0%
100% 100
Code Analysis
60 60%
40% 40
Software Development
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Codecov and Dependabot

Codecov Reviews

11 Interesting Tools for Auditing and Managing Code Quality
Codecov is a comprehensive tool for managing code base as well as builds with a single utility. It analyses the pushed code, performs required checks, and auto-merges them if needed. Some of the more features listed below.
Source: geekflare.com

Dependabot Reviews

Streamline dependency updates with Mergify and Snyk
Luckily, we’ve been able to use GitHub bots to automate dependency management to an extent with solutions like Dependabot and GreenKeeper.
Source: snyk.io

Social recommendations and mentions

Codecov might be a bit more popular than Dependabot. We know about 18 links to it since March 2021 and only 13 links to Dependabot. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Codecov mentions (18)

  • To Review or Not to Review: The Debate on Mandatory Code Reviews
    If you're actively testing your codebase, which I hope you are, consider integrating a code coverage automatic checker such as codecov. This tool can alert if the coverage drops below a threshold. While I've had positive experiences with such tools, it's worth mentioning that the adoption process may pose some challenges. - Source: dev.to / about 2 months ago
  • DevOps CI/CD Quick Start Guide with GitHub Actions 🛠️🐙⚡️
    The code coverage is printed out in the Coverage Report step but it is useful to track code coverage over time and have a repository badge which shows the current coverage percentage. There are many different code coverage and testing applications but we will use CodeCov. - Source: dev.to / 8 months ago
  • Build an Open Source Project: Behind the Scenes
    Usually, you can't build a product without using various tools. Some of them can be free, and some of them can be commercial. The great benefit of working on Open Source projects is that a lot of companies with commercial products have special offers for non-commercial development. In the case of the "xq" utility, which is written in Go, I use GoLand IDE by JetBrains. I paid for it for several months but later... - Source: dev.to / 12 months ago
  • CI CD strategies for UI apps and deployed services
    This YAML file details the CI implementation, including combined code coverage with CodeCov. For a simpler example without Cypress parallelization and code coverage, check the Github Actions YAML file of this template. The ideas presented here can be applied to any front-end application. - Source: dev.to / about 1 year ago
  • Almost 1000 applications this year, still no job.
    High unit-test coverage, and automated coverage reports on your repo by something like Codecov. Source: about 1 year ago
View more

Dependabot mentions (13)

  • Be Secure and Compliant with GitHub
    GitHub integrated security scanning for vulnerabilities in their repositories. When they find a vulnerability that is solved in a newer version, they file a Pull Request with the suggested fix. This is done by a tool called Dependabot. - Source: dev.to / almost 2 years ago
  • How to configure Dependabot with Gradle
    Dependabot provides a way to keep your dependencies up to date. Depending on the configuration, it checks your dependency files for outdated dependencies and opens PRs individually. Then based on requirement PRs can be reviewed and merged. - Source: dev.to / over 2 years ago
  • Yarn.lock: how it works and what you risk without maintaining yarn dependencies — deep dive
    The first approach we looked at was Dependabot - a well-known tool for bumping dependencies. It checks for possible updates, opens Pull Requests with them, and allow users to review and merge (if you're confident enough with your test suite you can even set auto-merge). - Source: dev.to / almost 3 years ago
  • 5 tools to automate your development
    Dependabot is dead simple and their punchline clearly states what it does. We started using it a couple of years back, a bit before Github acquired it. - Source: dev.to / about 3 years ago
  • Keeping dependencies up-to-date in Composer
    The most known tool for this is Dependabot. Dependabot integrates seemlessly into Github and is able to create pull requests for outdated dependencies. If you have set up automated tests on your codebase all you have to do is merge the pull request created by Dependabot. It does not get any easier. - Source: dev.to / almost 3 years ago
View more

What are some alternatives?

When comparing Codecov and Dependabot, you can also consider the following products

SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.

Snyk - Snyk helps you use open source and stay secure. Continuously find and fix vulnerabilities for npm, Maven, NuGet, RubyGems, PyPI and much more.

CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.

Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.

WhiteSource Renovate - Automate your dependency updates

Coveralls - Coveralls is a code coverage history and tracking tool that tests coverage reports and statistics for engineering teams.