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. Saving developers time in code reviews thus efficiently tackling technical debt. JavaScript, Java, Ruby, Scala, PHP, Python, CoffeeScript and CSS are currently supported. Codacy is static analysis without the hassle.
Based on our record, Chocolatey seems to be a lot more popular than Codacy. While we know about 252 links to Chocolatey, we've tracked only 4 mentions of Codacy. 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.
I'm trying to use Codacy to review my code. One of the issues is regarding the use of the "setcookie" function. Source: over 2 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: almost 3 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 the mentioned detection tools in this article and we are working every day to improve the service. The other main benefit of using automated code review tools is to allow you to... - Source: dev.to / about 3 years ago
Because you care and because you always want to be better, automation is a great way to optimize your review workflow process. Go ahead and do a quick search on Google for automated code reviews and see who better fits your workflow. You'll find Codacy on your Google search and we hope you like what we do. - Source: dev.to / over 3 years ago
Chocolatey Windows software management solution, we use this for installing Python and Deno. - Source: dev.to / 3 months ago
Authenticating with Kyma is a (in my opinion) unnecessary challenge as it leverages the OIDC-login plugin for kubectl. You find a description of the setup here. This works fine when on a Mac but can give you some headaches on a Windows and on Linux machine especially when combined with restrictive setups in corporate environments. For Windows I can only recommend installing krew via chocolatey and then install the... - Source: dev.to / 3 months ago
On a Windows machine, you can use Chocolatey by running the command. - Source: dev.to / 4 months ago
I've used WSL2 and GHC/Nix--worked without any issues. However, there is Chocolatey: https://chocolatey.org/. Source: 7 months ago
For OSX there is homebrew or pyenv (pyenv is another solution on Linux). As pyenv compiles from source it will require setting up XCode (the Apple IDE) tools to support this which can be pretty bulky. Windows users have chocolatey but the issue there is it works off the binaries. That means it won't have the latest security release available since those are source only. Conda is also another solution which can be... - Source: dev.to / 7 months ago
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