explore VS snyk

GitHub: Many researchers and organizations share datasets on GitHub repositories. You can search for repositories with datasets using specific keywords. GitHub

There isn't a lot going on there, but I like the way he added the little language and tech-stack icons to his GitHub profile using the images served by the GitHub Explore page as well.

Checking the GitHub explore page for fun projects and inspiration

Uh? How is this AI thingie different from Github Explore?

https://github.com/explore

What is the real URL for Github Feed?

The Before I Die Code project’s front end is built with React, JavaScript, HTML, and CSS, and it’s currently deployed on Vercel. However, the technology will change with the deployment as I am planning on applying for this open-source project to be featured on the GitHub explore page. For this, the project will need to be using GitHub pages.

New users finding a project is much more likely on GitHub. I'm not necessarily talking about search. I would expect that experience to be about the same on both, though generally, I see a lot more empty projects showing up in results on GitLab for some reason, at least for things I've searched for there. Github seems to do reasonably well with search ranking. I'm more concerned about the poor experience with https://gitlab.com/explore compared to https://github.com/explore where people are going to be discovering new libraries when they don't know what they are looking for and are either browsing topically or just browsing for fun and learning. GitLab seems to do particularly poorly in their curation and selection of what they show you. GitHub on the other hand, has connected me with countless extremely high quality projects through this feature. Finally, the discoverability advantage of GitHub over gitlab is also simply because more people use GitHub. You don't need to primarily use GitHub to use it to point to GitLab If you want to work there, but you're certainly going to have more users finding your project if you have presence on GitHub.

You can also star projects you find interesting and github will use that for the EXPLORE tab to show you other cool projects.

Subscribe to atom/rss feed of https://github.com/explore (you prolly want to have a gihub account) or https://github.com/trending and be sure to at least 'follow' any projects that may interest you. No need to install everything.

Otherwise search for "good first issue" or similar, there are some sites that curate them. Or see GitHub Explore

Snyk CLI was introduced to the World Wide Web and security enthusiasts on October 2, 2015, as v0.0.0-pre-alpha release. In the past eight years, we released Snyk CLI nearly two thousand times — and more than eleven hundred of those releases happened in the last three years. That’s one release every thirty-two hours, signifying our customers’ growing needs as well as the pace at which we operate to meet those needs at an enterprise scale. With increasing demand, the complexity, reach, and impact of our fast-paced code changes increased, too.

There are a number of ways that you can install the Snyk CLI on your machine, ranging from using the available stand-alone executables to using package managers such as Homebrew for macOS and Scoop for Windows.

There's tons of tools to solve each of these problems Snyk for vulnerability scanning, tons of license checker plugins (like we use license-webpack-plugin which generates the license text for everything we distribute and fails a build if a license doesn't have one of our allowlisted licenses.

oh, such companies already exist: For example Snyk

Snyk provides security score and vulnerability count badges, which you can link to the relevant pages, as in these examples:

If you app is dockerized I would recommend adding something like Snyk to make sure your image is safe.

Note: I remind you that we support multiple strategy for vulnerabilities like Sonatype or Snyk.

My name is Adam, and I am a software engineer working at Snyk for the past 2.5 years. Over the past year, I have been leading a few projects that spanned multiple teams. My colleague is a tech lead at Snyk, and he’s been coaching people on how to lead projects effectively for a few years now.

So I'm curious, how are businesses building iOS apps securely? Could a tool like Snyk replace a manual audit, or is it a good idea to have an initial manual audit of our desired environment?

Ideally, software can quickly go from development to production. Continuous deployment and delivery are some processes that make this possible. Continuous deployment means establishing an automated pipeline from development to production while continuous delivery means maintaining the main branch in a deployable state so that a deployment can be requested at any time. Predecos uses these tools. When a commit goes into master, the code is pushed directly to the public environment. Deployment also occurs when a push is made to a development branch enabling local/e2e testing before push to master. In this manner the master branch can be kept clean and ready for deployment most of the time. Problems that surface resulting from changes are visible before reaching master. Additional automated tools are used. Docker images are built for each microservice on commit to a development or master branch, a static code analysis is performed by SonarCloud revealing quality and security problems, Snyk provides vulnerability analysis and CodeClimate provides feedback on code quality while Coveralls provides test coverage. Finally, a CircleCI build is done. Each of these components use badges which give a heads-up display of the health of the system being developed. Incorporating each of these tools into the development process will keep the code on a trajectory of stability. For example, eliminating code smells, security vulnerabilities, and broken tests before merging a pull-request (PR) into master. Using Husky on development machines to ensure that code is well linted and locally tested before it is allowed to be pushed to source-control management (SCM). Applying additional processes such as writing tests around bugs meaning reintroduction of a given bug would cause a test to fail. The automated tools would then require that test to be fixed before push to SCM meaning fewer bugs will be reintroduced. Proper development processes and automation have a strong synergy.