CodeRadar: Ever worried about your company's unique code accidentally showing up on GitHub? That's where CodeRadar steps in. Here's how it works: Keyword Monitoring: You tell CodeRadar the specific parts of your code (or "keywords") that you want to keep private. Continuous Scanning: CodeRadar keeps an eye on public GitHub repositories, checking if your private code appears anywhere it shouldn't. Immediate Alerts: If it spots anything, you get a notification right away. Help with Takedowns: If there's a leak, CodeRadar guides you on how to file a DMCA takedown request, helping you get the code removed quickly. The goal? To ensure your valuable code stays protected and off public platforms. Want in? CodeRadar is a premium service. Simply sign up and choose a monthly subscription to get started.
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CodeRadar's primary audience consists of businesses, particularly software development companies, IT directors, and digital product owners who have a vested interest in safeguarding their proprietary code
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react, python, github API, odoo
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CodeRadar stands out by proactively scanning GitHub for potential proprietary code leaks, ensuring businesses stay ahead of potential breaches. Its uniqueness lies in offering both detection and guided DMCA takedown assistance. This dual functionality is streamlined within an intuitive interface, catering to both tech experts and novices. Its premium subscription model guarantees dedicated protection, making CodeRadar a holistic solution for businesses eager to safeguard their digital assets in an ever-evolving online space.
Based on our record, Codecov seems to be more popular. It has been mentiond 18 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.
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 / 2 months 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 / 8 months 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 / 12 months ago
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
High unit-test coverage, and automated coverage reports on your repo by something like Codecov. Source: over 1 year ago
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
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.