CircleCI
Jenkins
Codeship
Travis CI
Bamboo
Bitrise
TeamCity
Buddy
Codecov
CodeClimate
Codacy
Coveralls
SonarQube
ESLint
SensioLabs Insight
Source-Navigator NG
CircleCI CodecovCodecov is recommended for development teams looking to enhance their code testing strategy with detailed coverage insights. It is particularly useful for projects that rely on CI/CD pipelines and value integration with platforms like GitHub, GitLab, or Bitbucket. Teams that employ diverse technology stacks can also benefit given Codecov's broad language support.
Based on our record, CircleCI should be more popular than Codecov. It has been mentiond 83 times since March 2021. 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.
CircleCI is another popular and mature platform, with extensive support for plugins / reusable workflows in the form of "orbs". - Source: dev.to / 9 months ago
Everyone is free to use alternative CI/CD workflow pipelines. These are often better than Github Actions. There include - https://circleci.com/ - https://www.travis-ci.com/ - Gitlab Anyone can complain as much as they want, but unless they put the money where their mouth is, it's just noise. - Source: Hacker News / 9 months ago
CircleCI Account: You need an active CircleCI account connected to your GitHub repository where the application code resides. If you don’t have one, sign up at circleci.com. - Source: dev.to / about 1 year ago
In this guide, you will explore how to build a fully automated pipeline for processing and updating a vector database using AWS Lambda and CircleCI. The solution involves extracting text from PDFs, generating embeddings with OpenAI, and storing them in Zilliz Cloud, a managed vector database. You will also set up AWS infrastructure (S3, ECR, and Lambda) and implement a CI/CD pipeline with CircleCI to automate... - Source: dev.to / about 1 year ago
CircleCI: Still solid, but watch pricing and concurrency limits. - Source: dev.to / about 1 year ago
Hi! I made a small tool to open test coverage uploaded to Codecov[1] in a web browser with a few helpful flags: - branch: A target branch - path: The specific file - remote: An upstream Frequent clicks through the same paths and manual changes to the URL was a solid motivation for me. Learning more about Zig was a nice happening too. Not sponsored but that'd be cool ;) [1]: https://about.codecov.io. - Source: Hacker News / over 1 year ago
First of all, we need to have a repository. You can use different services, but I will show you on GitHub. First, you will need to go to the site and register in a way convenient for you. After that, you will see a personal account like this:. - Source: dev.to / over 1 year ago
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 / over 2 years ago
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 / almost 3 years ago
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 / about 3 years ago
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
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.
Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
Travis CI - Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CI’s precision syntax—all with the developer in mind.
Coveralls - Coveralls is a code coverage history and tracking tool that tests coverage reports and statistics for engineering teams.