CodeRadar
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Codacy
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Codecov
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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
CodeRadar's answer
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, Coveralls seems to be more popular. It has been mentiond 13 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.
Cpan_coverage: This calculates the coverage of your test suite and reports the results. It also uploads the results to coveralls.io. - Source: dev.to / 4 months ago
I will normally use GitHub Actions to automatically run my test suite on each push, on every major version of Perl I support. One of the test runs will load Devel::Cover and use it to upload test coverage data to Codecov and Coveralls. - Source: dev.to / over 1 year ago
Coveralls.io — Display test coverage reports, free for Open Source. - Source: dev.to / over 1 year ago
Several years ago I got into Travis CI and set up lots of my GitHub repos so they automatically ran the tests each time I committed to the repo. Later on, I also worked out how to tie those test runs into Coveralls.io so I got pretty graphs of how my test coverage was looking. I gave a talk about what I had done. - Source: dev.to / over 1 year ago
This approach will create two json coverage files, which will be merged together by NYC. Therefore the results will be purely local. If You don't mind using online tools like Codecov or Coveralls for merging data from different tests, then go ahead and use them. They will probably also be more accurate. But if You still want to learn how to get coverage from E2E, then please read through. - Source: dev.to / almost 2 years ago
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
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.